Bibliografías temáticas / Statistical equivalence

Literatura académica sobre el tema "Statistical equivalence"

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Publicado: 22 de junio de 2024

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  1. Artículos de revistas
  2. Tesis
  3. Libros
  4. Capítulos de libros
  5. Actas de conferencias
  6. Informes

Artículos de revistas sobre el tema "Statistical equivalence":

1

ÇAKI, Ahmet y Aykut OR. "Asymptotically Lacunary statistical equivalent sequences in partial metric spaces". Annals of Mathematics and Computer Science 22 (28 de marzo de 2024): 1–11. http://dx.doi.org/10.56947/amcs.v22.262.

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The present study deals with asymptotically equivalent sequences in partial metric spaces. We define the notions of strongly asymptotically lacunary equivalence, asymptotically statistical equivalence, and asymptotically lacunary statistical equivalence. We theoretically contribute to these notions and investigate some of their basic properties.
2

Lakens, Daniël. "Equivalence Tests". Social Psychological and Personality Science 8, n.º 4 (mayo de 2017): 355–62. http://dx.doi.org/10.1177/1948550617697177.

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Scientists should be able to provide support for the absence of a meaningful effect. Currently, researchers often incorrectly conclude an effect is absent based a nonsignificant result. A widely recommended approach within a frequentist framework is to test for equivalence. In equivalence tests, such as the two one-sided tests (TOST) procedure discussed in this article, an upper and lower equivalence bound is specified based on the smallest effect size of interest. The TOST procedure can be used to statistically reject the presence of effects large enough to be considered worthwhile. This practical primer with accompanying spreadsheet and R package enables psychologists to easily perform equivalence tests (and power analyses) by setting equivalence bounds based on standardized effect sizes and provides recommendations to prespecify equivalence bounds. Extending your statistical tool kit with equivalence tests is an easy way to improve your statistical and theoretical inferences.
3

Goudra, BasavanaG y PreetMohinder Singh. "Clinical perspective on statistical equivalence". Journal of Anaesthesiology Clinical Pharmacology 29, n.º 4 (2013): 457. http://dx.doi.org/10.4103/0970-9185.119130.

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Lavenda, B. H. "Statistical Equivalence and Particle Indistinguishability". Physics Essays 5, n.º 2 (junio de 1992): 206–14. http://dx.doi.org/10.4006/1.3028972.

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Lazar, Nicole. "Testing Statistical Hypotheses of Equivalence". Technometrics 45, n.º 3 (agosto de 2003): 271–72. http://dx.doi.org/10.1198/tech.2003.s775.

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Munk, Axel. "Testing Statistical Hypotheses of Equivalence". Journal of the American Statistical Association 99, n.º 465 (marzo de 2004): 293. http://dx.doi.org/10.1198/jasa.2004.s317.

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Gutkin, Eugene. "Equivalence principle in statistical mechanics". Physica A: Statistical Mechanics and its Applications 144, n.º 2-3 (agosto de 1987): 430–44. http://dx.doi.org/10.1016/0378-4371(87)90200-7.

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Röhmel, Joachim. "Therapeutic equivalence investigations: statistical considerations". Statistics in Medicine 17, n.º 15-16 (15 de agosto de 1998): 1703–14. http://dx.doi.org/10.1002/(sici)1097-0258(19980815/30)17:15/16<1703::aid-sim972>3.0.co;2-g.

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Edely, O. H. y M. Mursaleen. "On $A$-statistical convergence and $A$-statistical Cauchy via idea". Carpathian Mathematical Publications 14, n.º 2 (30 de diciembre de 2022): 442–52. http://dx.doi.org/10.15330/cmp.14.2.442-452.

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In [Analysis 1985, 5 (4), 301-313], J.A. Fridy proved an equivalence relation between statistical convergence and statistical Cauchy sequence. In this paper, we define $A^{I^{\ast }}$-statistical convergence and find under certain conditions, that it is equivalent to $A^{I}$-statistical convergence defined in [Appl. Math. Lett. 2012, 25 (4), 733-738]. Moreover, we define $A^{I}$- and $A^{I^{\ast }}$-statistical Cauchy sequences and find some equivalent relation with $A^{I}$- and $A^{I^{\ast }}$-statistical convergence.
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Koşar, Cem, Mehmet Küçükaslan y Mikail Et. "On asymptotically deferred statistical equivalence of sequences". Filomat 31, n.º 16 (2017): 5139–50. http://dx.doi.org/10.2298/fil1716139k.

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In this study, combining the definition of asymptotically equivalence of sequences and deferred density, the concepts of asymptotically deferred statistical equivalence and strong deferred asymptotically equivalence of nonnegative sequences are introduced. Besides, the main properties of asymptotically deferred statistical equivalence and strong deferred asymptotically equivalence, some inclusion and equivalence results are given.
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Artículos de revistas Tesis Libros

Tesis sobre el tema "Statistical equivalence":

1

Park, Sung Min S. M. Massachusetts Institute of Technology. "On the equivalence of sparse statistical problems". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107375.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 43-47).
Sparsity is a widely used and theoretically well understood notion that has allowed inference to be statistically and computationally possible in the high-dimensional setting. Sparse Principal Component Analysis (SPCA) and Sparse Linear Regression (SLR) are two problems that have a wide range of applications and have attracted a tremendous amount of attention in the last two decades as canonical examples of statistical problems in high dimension. A variety of algorithms have been proposed for both SPCA and SLR, but their literature has been disjoint for the most part. We have a fairly good understanding of conditions and regimes under which these algorithms succeed. But is there be a deeper connection between computational structure of SPCA and SLR? In this paper we show how to efficiently transform a blackbox solver for SLR into an algorithm for SPCA. Assuming the SLR solver satisfies prediction error guarantees achieved by existing efficient algorithms such as those based on the Lasso, we show that the SPCA algorithm derived from it achieves state of the art performance, matching guarantees for testing and for support recovery under the single spiked covariance model as obtained by the current best polynomial-time algorithms. Our reduction not only highlights the inherent similarity between the two problems, but also, from a practical standpoint, it allows one to obtain a collection of algorithms for SPCA directly from known algorithms for SLR. Experiments on simulated data show that these algorithms perform well.
by Sung Min Park.
S.M.
2

Yang, Jun. "Statistical Implementation of Toxicity Equivalence Approach in Wet Test". University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1187035422.

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Wang, Hui. "Error equivalence theory for manufacturing process control". [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002252.

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Luo, Yingchun. "Nonparametric statistical procedures for therapeutic clinical trials with survival endpoints". Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/492.

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Ntantiso, Mzamo. "Exploring the statistical equivalence of the English and Xhosa versions of the Woodcock-Munõz Language Survey". Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/d1018620.

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This study explored statistical equivalence of the adapted Xhosa and English version of the Woodcock-Muñoz Language Survey (WMLS) by investigating group differences on each subscale, in terms of mean scores, index reliability, and item characteristics for two language groups. A Convenience quota sampling technique was used to select 188 Xhosa (n = 188) and 198 English (n = 198) learners from Grades 6 and 7 living in rural and urban Eastern Cape. The WMLS Xhosa and English versions were administered to learners in their first languages. Significant mean group differences were found, but differences were not found on the reliability indices, or mean item characteristics. This pointed in the direction of statistical equivalence. However, scrutiny of the item characteristics of the individual items per subscale indicated possible problems at an item level that need to be investigated further with differential functioning analyses. Thus, stringent DIF analyses were suggested for future research on DIF items before the versions of the WMLS can be considered as equivalent.
6

Olivier, G. J. F. (Gerrit Jacobus Francois). "Statistical thermodynamics of long-range quantum spin systems". Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20003.

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Thesis (MSc)--Stellenbosch University, 2012.
ENGLISH ABSTRACT:In this thesis we discuss some of the anomalies present in systems with long-range interactions, for instance negative speci c heat and negative magnetic susceptibility, and show how they can be related to the convexity properties of the thermodynamic potentials and nonequivalence of ensembles. We also discuss the possibility of engineering long-range quantum spin systems with cold atoms in optical lattices to experimentally verify the existence of nonequivalence of ensembles. We then formulate an expression for the density of states when the energy and magnetisation correspond to a pair of non-commuting operators. Finally we analytically compute the entropy s( ;m) as a function of energy, , and magnetisation, m, for the anisotropic Heisenberg model with Curie-Weiss type interactions. The results show that the entropy is non-concave in terms of magnetisation under certain circumstances which in turn indicates that the microcanonical and canonical ensembles are not equivalent and that the magnetic susceptibility is negative. After making an appropriate change of variables we show that a second-order phase transition can be present at negative temperatures in the microcanonical ensemble which cannot be represented in the canonical ensemble.
AFRIKAANSE OPSOMMING: In hierdie tesis bespreek ons van die onverwagte eienskappe wat sisteme met lang afstand wisselwerkings kan openbaar, byvoorbeeld negatiewe spesi eke warmte en negatiewe magnetiese suseptibiliteit. Ons dui ook die ooreenkoms tussen hierdie gedrag en die konveksiteit van die termodinamiese potensiale en nie-ekwivalente ensembles aan. Hierna bespreek ons die moontlikheid om lang afstand kwantum spin sisteme te realiseer met koue atome in 'n optiese rooster. Daarna wys ons hoe dit moontlik is om 'n uitdrukking vir die digtheid van toestande te formuleer vir sisteme waar die energie en magnetisasie ooreenstem met operatore wat nie met mekaar kommuteer nie. Uiteindelik bepaal ons die entropie, s( ;m), in terme van die energie, , en magnetisasie, m, vir die anisotropiese Heisenberg model met Curie-Weiss tipe interaksies. Die resultate wys dat die entropie onder sekere omstandighede nie konkaaf in terme van magnetisasie is nie. Dit, op sy beurt, dui aan dat die mikrokanoniese en kanoniese ensembles nie ekwivalent is nie en dat die magnetiese suseptibiliteit negatief kan wees. Nadat ons 'n toepaslike transformasie van veranderlikes maak, wys ons dat 'n tweede orde fase-oorgang by negatiewe temperature kan plaasvind in die mikrokanoniese ensemble wat nie verteenwoordig kan word in die kanoniese ensemble nie.
7

Shen, Emily (Emily Huei-Yi). "Pattern matching encryption, strategic equivalence of range voting and approval voting, and statistical robustness of voting rules". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79224.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 119-123).
We present new results in the areas of cryptography and voting systems. 1. Pattern matching encryption: We present new, general definitions for queryable encryption schemes - encryption schemes that allow evaluation of private queries on encrypted data without performing full decryption. We construct an efficient queryable encryption scheme supporting pattern matching queries, based on suffix trees. Storage and communication complexity are comparable to those for (unencrypted) suffix trees. The construction is based only on symmetric-key primitives, so it is practical. 2. Strategic equivalence of range voting and approval voting: We study strategic voting in the context of range voting in a formal model. We show that under general conditions, as the number of voters becomes large, strategic range-voting becomes equivalent to approval voting. We propose beta distributions as a new and interesting way to model voter's subjective information about other votes. 3. Statistical robustness of voting rules: We introduce a new notion called "statistical robustness" for voting rules: a voting rule is statistically robust if, for any profile of votes, the most likely winner of a sample of the profile is the winner of the complete profile. We show that plurality is the only interesting voting rule that is statistically robust; approval voting (perhaps surprisingly) and other common voting rules are not statistically robust.
by Emily Shen.
Ph.D.
8

Chen, Shaoqiang. "Manufacturing process design and control based on error equivalence methodology". [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002511.

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Ikeda, Mitsuru, Kazuhiro Shimamoto, Takeo Ishigaki, Kazunobu Yamauchi, 充. 池田 y 一信 山内. "Statistical method in a comparative study in which the standard treatment is superior to others". Nagoya University School of Medicine, 2002. http://hdl.handle.net/2237/5385.

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Nguyen, Diep Thi. "Statistical Models to Test Measurement Invariance with Paired and Partially Nested Data: A Monte Carlo Study". Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7869.

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While assessing emotions, behaviors or performance of preschoolers and young children, scores from adults such as parent psychiatrist and teacher ratings are used rather scores from children themselves. Data from parent ratings or from parents and teachers are often nested such as students are within teachers and a child is within their parents. This popular nested feature of data in educational, social and behavioral sciences makes measurement invariance (MI) testing across informants of children methodologically challenging. There was lack of studies that take into account the nested structure of data in MI testing for multiple adult informants, especially no simulation study that examines the performance of different models used to test MI across different raters. This dissertation focused on two specific nesting data types in testing MI between adult raters of children: paired and partial nesting. For the paired data, the independence assumption of regular MI testing is often violated because the two informants (e.g., father and mother) rate the same child and their scores are anticipated to be related or dependent. The partial nesting data refers to the research situation where teacher and parent ratings are compared. In this scenario, it is common that each parent has only one child to rate while each teacher has multiple children in their classroom. Thus, in case of teacher and parent ratings of the same children, data are repeated measures and also partially nested. Because of these unique features of data, MI testing between adult informants of children requires statistical models that take into account different types of data dependency. I proposed and evaluated the performance of the two statistical models that can handle repeated measures and partial nesting with several simulated research scenarios in addition to one commonly used and one potentially appropriate statistical models across several research scenario. Results of the two simulation studies in this dissertation showed that for the paired data, both multiple-group confirmatory factor analysis (CFA) and repeated measure CFA models were able to detect scalar invariance most of the time using Δχ2 test and ΔCFI. Although the multiple-group CFA (Model 2) was able to detect scalar invariance better than the repeated measure CFA model (Model 1), the detection rates of Model 1 were still at the high level (88% - 91% using Δχ2 test and 84% - 100% using ΔCFI or ΔRMSEA). For configural invariance and metric invariance conditions for the paired data, Model 1 had higher detection rate than Model 2 in almost examined research scenario in this dissertation. Particularly while Model 1 could detect noninvariance (either in intercepts only or in both intercepts and factor loadings) than Model 2 for paired data most of the time, Model 2 could rarely catch it if using suggested cut-off of 0.01 for RMSEA differences. For the paired data, although both Models 1 and 2 could be a good choice to test measurement invariance, Model 1 might be favored if researchers are more interested in detecting noninvariance due to its overall high detection rates for all three levels (i.e. configural, metric, and scalar) of measurement invariance. For scalar invariance with partially nested data, both multilevel repeated measure CFA and design-based multilevel CFA could detect invariance most of the time (from 81% to 100% of examined cases) with slightly higher detection rate for the former model than the later. Multiple-group CFA model hardly detect scalar invariance except when ICC was small. The detection rates for configural invariance using Δχ2 test or Satorra-Bentler LRT were also highest for Model 3 (82% to 100% except only two conditions with detection rates of 61%), following by Model 5 and lowest Model 4. Models 4 and 5 could reach these rates only with the largest sample sizes (i.e., large number of cluster or large cluster size or large in both factors) when the magnitude of noninvariance was small. Unlike scalar and configural invariance, the ability to detect metric invariance was highest for Model 4, following by Model 5 and lowest for Model 3 across many conditions using all of the three performance criteria. As higher detection rates for all configural and scalar invariance, and moderate detection rates for many metric invariance conditions (except cases of small number of clusters combined with large ICC), Model 3 could be a good candidate to test measurement invariance with partially nested data when having sufficient number of clusters or if having small number of clusters with small ICC. Model 5 might be also a reasonable option for this type of data if both the number of clusters and cluster size were large (i.e., 80 and 20, respectively), or either one of these two factors was large coupled with small ICC. If ICC is not small, it is recommended to have a large number of clusters or combination of large number of clusters and large cluster size to ensure high detection rates of measurement invariance for partially nested data. As multiple group CFA had better and reasonable detection rates than the design-based and multilevel repeated measure CFA models cross configural, metric and scalar invariance with the conditions of small cluster size (10) and small ICC (0.13), researchers can consider using this model to test measurement invariance when they can only collect 10 participants within a cluster (e.g. students within a classroom) and there is small degree of data dependency (e.g. small variance between clusters) in the data.
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Libros sobre el tema "Statistical equivalence":

1

Wellek, Stefan. Testing statistical hypotheses of equivalence. Boca Raton, FL: Chapman & Hall/CRC, 2003.

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Wellek, Stefan. Testing statistical hypotheses of equivalence and noninferiority. 2a ed. Boca Raton: CRC Press, 2010.

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Pardo, Scott. Equivalence and noninferiority tests for quality, manufacturing and test engineers. Boca Raton: Chapman and Hall/CRC, 2014.

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Giannangelo, Kathy. Transitioning to ICD-10-CM/PCS: The essential guide to general equivalence mappings (GEMs). Chicago: AHIMA Press, 2011.

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Berry, Kenneth J. y Janis E. Johnston. Statistical Methods: Connections, Equivalencies, and Relationships. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41896-9.

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Patterson, Scott D. Bioequivalence and statistics in clinical pharmacology. Boca Raton: Chapman & Hall/CRC, 2006.

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Patterson, Scott D. Bioequivalence and statistics in clinical pharmacology. Boca Raton, FL: Chapman & Hall/CRC Press, 2005.

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Bekker, Paul A. Identification, equivalent models, and computer algebra. Boston: Academic Press, 1994.

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Scales, Maharashtra (India) Equivalence Committee for Revision of Pay. Report of the Equivalence Committee for Revision of Pay Scales, Maharashtra State. Bombay: The Committee, 1987.

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Florida. State Board of Community Colleges., ed. GED preparatory programs in Florida community colleges: Level III program review report. [Tallahassee, Fla.]: The Board, 1998.

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Capítulos de libros sobre el tema "Statistical equivalence":

1

Hauschke, Dieter. "Equivalence Testing". En International Encyclopedia of Statistical Science, 447–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_231.

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Reeve, Russell y Francis Giesbrecht. "CHAPTER 4: DISSOLUTION METHOD EQUIVALENCE". En Statistical Case Studies, 37–43. Philadelphia, PA: Society for Industrial and Applied Mathematics, 1998. http://dx.doi.org/10.1137/1.9781611973419.ch4.

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Cleophas, Ton J. y Aeilko H. Zwinderman. "Equivalence Tests". En Statistical Analysis of Clinical Data on a Pocket Calculator, 17. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1211-9_6.

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Pardo, Scott A. "Equivalence and Noninferiority". En Statistical Methods and Analyses for Medical Devices, 183–207. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26139-8_11.

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Ollagnier, Jean Moulin. "Equivalence of countable amenable groups". En Ergodic Theory and Statistical Mechanics, 117–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/bfb0101583.

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Makuch, Robert, Gordon Pledger, David Hall, Jay Herson y Jiann-Ping Hsu. "4 Active Control Equivalence Studies". En Statistical Issues in Drug Research and Development, 225–62. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9780203738610-5.

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Huang, Ji-Ping. "Hedge Behavior: Statistical Equivalence of Different Systems". En Experimental Econophysics, 99–114. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44234-0_7.

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Minlos, R. "Statistical ensembles (microcanonical and canonical ensembles, equivalence of ensembles)". En University Lecture Series, 9–14. Providence, Rhode Island: American Mathematical Society, 1999. http://dx.doi.org/10.1090/ulect/019/02.

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Wang, Yu-Xiang, Jing Lei y Stephen E. Fienberg. "On-Average KL-Privacy and Its Equivalence to Generalization for Max-Entropy Mechanisms". En Privacy in Statistical Databases, 121–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45381-1_10.

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Miracle-Sole, Salvador y Jean Ruiz. "On the Wulff Construction as a Problem of Equivalence of Statistical Ensembles". En On Three Levels, 295–302. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2460-1_34.

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Actas de conferencias sobre el tema "Statistical equivalence":

1

Wang, Liming y Dan Schonfeld. "Mapping equivalence under iterative dynamics for symbolic sequences". En 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319822.

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Fatemi, Mitra, Shayan Dashmiz, Mohammad Hossein Shafinia y Volkan Cevher. "Equivalence of synthesis and atomic formulations of sparse recovery". En 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319652.

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Remigi, Samantha, Tullio Mancini, Simona Ferrando y Maria Luce Frezzotti. "The Statistical Equivalence of the CO2 Raman Densimeter Equations". En Goldschmidt2020. Geochemical Society, 2020. http://dx.doi.org/10.46427/gold2020.2189.

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Zhang, Min, Hongfei Jiang, Haizhou Li, Aiti Aw y Sheng Li. "Grammar comparison study for translational equivalence modeling and statistical machine translation". En the 22nd International Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2008. http://dx.doi.org/10.3115/1599081.1599219.

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Uckerseifer, Jan, Tianyuan Kong y Frank Gronwald. "A statistical approach towards the equivalence of HIRF and DCI test setups". En 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2021. http://dx.doi.org/10.23919/ursigass51995.2021.9560492.

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Et, Mikail, Hıfsı Altınok y Rifat Çolak. "On Wijsman asymptotically deferred statistical equivalence of order α for set sequences". En 6TH INTERNATIONAL EURASIAN CONFERENCE ON MATHEMATICAL SCIENCES AND APPLICATIONS (IECMSA-2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5020465.

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Mylonas, Kostas, Adrian Furnham, Emmanouil Konstantinidis, Sofia Papazoglou, William Divale, Cigdem Leblebici, Sonia Gondim et al. "The Explanations for Unemployment Scale: An Eight-Country Study on Factor Equivalence". En International Association of Cross Cultural Psychology Congress. International Association for Cross-Cultural Psychology, 2013. http://dx.doi.org/10.4087/paey6933.

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Explanations for Unemployment have been studied through a 20-item scale created by Furnham (1982) on three theoretical dimensions: the individualistic, the societal, and the fatalistic. In this study we revised this scale to co-ordinate it with contemporary social and economic facts and through metric testing-adjustments and multivariate statistical analysis we arrived at a 19-item scale retaining eight of the original scale items. This revised scale was statistically and theoretically valid as its factor structure closely resembled the original factor structure Furnham had described. For the second stage of the study, data were collected from eight countries and multilevel covariance structure analysis was applied to the data pool. The final structure can be considered universal for seven of these countries, meaning that the structure people employ to explain unemployment is the same across countries. The individualistic factor was clearly supported in this structure. The second factor narrowed the societal spectrum to industrial management and educational provision and the third factor appeared as a transformation of the fatalistic dimension to a “helplessness” factor. The three factors were investigated for their scoring differences across countries and overall.
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Bae, Jeongwon, Minjoo Kim, Jongbum Lee, Myunghoon Oak, Choongsun Park, Sunghun Park, Sungsoo Yim, Heeil Hong y Jooyoung Lee. "Quantile Based Statistical Failure Analysis for Wafer Level Test Comparison". En ISTFA 2021. ASM International, 2021. http://dx.doi.org/10.31399/asm.cp.istfa2021p0263.

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Abstract There are many wafer level tests, such as Fail Bit Count (FBC), where conventional statistical analysis methods are inadequate because the associated data do not follow a normal distribution. This paper introduces a statistical failure analysis technique that does not rely on location and scale parameters and is thus able to handle such cases. It describes the math on which the method is based and explains how to determine effect size (ES) using the quantile comparison equivalence criteria (QCEC) and a statistical parameter, called the center of dispersion (CoD), that distinguishes between center difference and dispersion difference. It also includes a case study showing how the new method is used to assess the effect of a process change on dynamic random access memory test data and how it compares in terms of accuracy with conventional statistical techniques.
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Mylonas, Kostas, Aikaterini Gari, Penny Panagiotopoulou, Elli Georgiadi, Velichko Valchev, Sofia Papazoglou y Mariana Brkich. "Bias in Terms of Culture: Work Values Country-Clustering for 33 European Countries and Person-Job Fit Factor Equivalence Testing for Four European Countries". En International Association of Cross Cultural Psychology Congress. International Association for Cross-Cultural Psychology, 2011. http://dx.doi.org/10.4087/orzq3972.

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Bias in terms of culture has been posing threat to cross-cultural research since the very beginning of crosscultural endeavor. Metric and statistical methods have been discussed in literature in order to deal with this type of bias; however, some of these methods show side-effects on the level of scale validity and some others with so stringent effects on the available information and allow for very limited variance to be interpreted. The present twofold study describes yet another method, this time based on country clusters, following the idea introduced by Georgas & Berry (1995) of employing country sets based on their eco-cultural or psychological variables rather than single countries. In our study, the country clusters were derived from a different construct than the target one; the clusters of countries were formed using information from the European Value Survey Work Values, but the target construct in respect to bias reduction was the Person-Job Fit. Starting with 33 European countries and through trigonometrically transformed Multidimensional Scaling solutions, we arrived at a system of homogeneous clusters of countries in respect to their factor structure similarity. This similarity is not based on actual distribution resemblance levels, but on factor structure similarity as computed and utilized through the “hit” matrix. Testing for factor structure equivalence in the Person-Job Fit construct(s) for four European countries through covariance structure analysis, we contrasted two research methods, namely, the traditional across-countries approach and the method of aggregating some of the countries involved into clusters with a homogeneous factor structure. The findings showed that the aggregation technique reached acceptable levels of statistical support for the emerging factor structures, whereas the traditional approach did not statistically support the structures reached. Possible statistical artifacts were also tested through a third research condition, under a “homogeneity” rationale.
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Kaplan, Jennifer y Kristen Roland. "Confidence Means What?!?: Lexical Ambiguity in the Interpretation of Confidence Intervals". En Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t8h2.

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Associations of Statistics and Psychology recommend reporting interval estimates, such as confidence intervals, when communicating data-based results. Previous research in statistics education, however, has identified the word confidence as having lexical ambiguity for students learning statistics. This study investigates the nature of this ambiguity with the interpretation of confidence intervals. Analysis of transcripts from task-based interviews revealed four themes, (a) sureness/belief, (b) confident in outcome, (c) confusion of chance/probability, and (d) equivalence of chance/probability, none aligned with the statistical concept definition when the word is applied to confidence intervals. The results of this study identify confusion between the words confident, sureness, probability, and chance as areas for further research as well as classroom attention. Researchers should continue to investigate these issues while instructors exploit these ambiguities.

Informes sobre el tema "Statistical equivalence":

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Kent, Jonathan y Caroline Wallbank. The use of hypothesis testing in transport research. TRL, febrero de 2021. http://dx.doi.org/10.58446/rrzh8247.

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Hypothesis testing is a well-used statistical method to evaluate whether a proposition is true or false. A fundamental part of the testing procedure is the calculation and interpretation of a p-value, which represents the probability of a set of data being observed, under the assumption that the proposition is true. This null hypothesis is then rejected if the p-value is less than a certain threshold, usually 0.05. In recent years, some members of the scientific community have called into question the validity of the hypothesis testing approach, because it places so much emphasis on whether or not a value is above or below an arbitrary threshold. We think that hypothesis testing is still a valid method, but it is important that, as well as the p-value additional information such as effect sizes is taken into account when interpreting results. In addition, there are alternative approaches, such as equivalence testing or Bayesian hypothesis testing, which should be considered in certain circumstances.
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Matthews, Keith E. y Malcolm S. Taylor. Nonparametric Methods for Multivariate Analysis Using Statistically Equivalent Blocks. Fort Belvoir, VA: Defense Technical Information Center, abril de 1996. http://dx.doi.org/10.21236/ada306594.

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Flaxman, Seth. Statistical Machine Learning for Researchers. Instats Inc., 2023. http://dx.doi.org/10.61700/3sz8pzpbpsg2i469.

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This workshop is designed to empower researchers with the fundamentals of machine learning using R. Participants will learn the key principles that make machine learning so effective, powering the modern AI and deep learning revolution. Through hands-on exercises, participants will gain experience applying a variety of flexible and scalable statistical machine learning methods to analyze datasets and build effective predictive models. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points.
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Flaxman, Seth. Statistical Machine Learning for Researchers. Instats Inc., 2023. http://dx.doi.org/10.61700/wu1mihoap95h0469.

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This workshop is designed to empower researchers with the fundamentals of machine learning using R. Participants will learn the key principles that make machine learning so effective, powering the modern AI and deep learning revolution. Through hands-on exercises, participants will gain experience applying a variety of flexible and scalable statistical machine learning methods to analyze datasets and build effective predictive models. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points.
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Dorigo, Tommaso. Statistical Methods for Fundamental Science. Instats Inc., 2023. http://dx.doi.org/10.61700/tr03is3us8wzp469.

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This 5-day workshop, taught by renowned CERN physicist Tommaso Dorigo, is designed to equip PhD students, professors, and professional researchers with the skills to apply optimal statistical methods in any scientific field. The workshop covers the crucial topics necessary for researchers to avoid typical mistakes in statistical analysis and produce effective statistical inference, enabling you to extract more information from the same data than your peers. The course also provides an introduction to machine learning, offering a solid foundation in powerful statistical methods for all disciplines. An official Instats certificate of completion and 2 ECTS Equivalent points are provided at the conclusion of the workshop.
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Zang, Emma. Bayesian Statistics for Social and Health Scientists in R and Python. Instats Inc., 2023. http://dx.doi.org/10.61700/obtt1o65iw3ui469.

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This seminar will introduce you to Bayesian statistics, which are increasingly popular and offer a powerful alternative to more traditional forms of statistical analysis. Targeted at a social and health science audience, the seminar will cover the fundamentals of Bayesian inference and illustrate a variety of techniques with applied examples of Bayesian regressions and hierarchical models. You will gain an understanding of Markov chain Monte Carlo (MCMC) methods and learn how to develop and validate Bayesian models so that you can apply them in your daily research, with the kinds of intuitive inferences that Bayesian methods allow. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
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Fife, Dustin. Simplistics: An Intuitive Graphical Approach to Statistics. Instats Inc., 2023. http://dx.doi.org/10.61700/d47gzlztthikk469.

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This hands-on course explores statistics from a fresh, intuitive perspective and supports R, JASP, and Jamovi, with an easy to use and understand graphical approach to statistical analysis. Rather than focusing on decisions about the appropriate 'test' or using p-values and arbitrary 'significance' cutoffs, this seminar will teach you to build models and use them to interpret data directly. With these models, you will learn how to generate and interpret model visualizations and effect sizes in an intuitive manner, as well as building, evaluating, and testing competing models. The net result will be a much better understanding of your data and the relationships among variables through the process of modeling, and an improved ability to test your hypotheses and theory in a more inductive 'bottom-up' fashion that is grounded in your data. An official Instats certificate of completion is provided and the seminar offers 2 ECTS Equivalent points.
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Zang, Emma. Bayesian Statistics for Social and Health Scientists in R and Python + 2 Free Seminars. Instats Inc., 2022. http://dx.doi.org/10.61700/bgfpomu3wdhe5469.

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This seminar will introduce you to Bayesian statistics, which are increasingly popular and offer a powerful alternative to more traditional forms of statistical analysis. Targeted at a social and health science audience, the seminar will cover the fundamentals of Bayesian inference and illustrate a variety of techniques with applied examples of Bayesian regressions and hierarchical models. You will gain an understanding of Markov chain Monte Carlo (MCMC) methods and learn how to develop and validate Bayesian models so that you can apply them in your daily research, with the kinds of intuitive inferences that Bayesian methods allow. When purchasing the seminar you will be freely enrolled in two on-demand seminars for Path Analysis in R and CFA/SEM in R with Bayesian estimation by Professor Zyphur, helping you to extend your learning and offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
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Moeyaert, Mariola. Introduction to Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/9egp6tqy3koga469.

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This seminar provides hands-on instruction covering the process of conducting a meta-analysis, from the planning stage through the selection of appropriate statistical techniques, the issues involved in analyzing data, and the interpretation of results. During the seminar you will learn how to use meta-analytic techniques to combine evidence across different research studies; integrate multiple studies into a single statistical framework; obtain precise and generalizable estimates of effect sizes; and explain differences arising from conflicting study results. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
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Moeyaert, Mariola. Introduction to Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/z1ui6nlaom67q469.

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This seminar provides hands-on instruction covering the process of conducting a meta-analysis, from the planning stage through the selection of appropriate statistical techniques, the issues involved in analyzing data, and the interpretation of results. During the seminar you will learn how to use meta-analytic techniques to combine evidence across different research studies; integrate multiple studies into a single statistical framework; obtain precise and generalizable estimates of effect sizes; and explain differences arising from conflicting study results. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.

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