Literatura académica sobre el tema "ANOVA test"
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Artículos de revistas sobre el tema "ANOVA test"
Davison, Mark L. y Anu R. Sharma. "ANOVA and ANCOVA of pre- and post-test, ordinal data". Psychometrika 59, n.º 4 (diciembre de 1994): 593–600. http://dx.doi.org/10.1007/bf02294394.
Texto completoTarlow, Kevin R. "Teaching principles of inference with ANOVA". Teaching Statistics 38, n.º 1 (24 de julio de 2015): 16–21. http://dx.doi.org/10.1111/test.12085.
Texto completoCuevas, Antonio, Manuel Febrero y Ricardo Fraiman. "An anova test for functional data". Computational Statistics & Data Analysis 47, n.º 1 (agosto de 2004): 111–22. http://dx.doi.org/10.1016/j.csda.2003.10.021.
Texto completoMaxwell, Scott E., Harold D. Delaney y Jerry M. Manheimer. "Anova of Residuals and Ancova: Correcting an Illusion by Using Model Comparisons and Graphs". Journal of Educational Statistics 10, n.º 3 (septiembre de 1985): 197–209. http://dx.doi.org/10.3102/10769986010003197.
Texto completoChen, Tansheng y Lukun Zheng. "One-Way High-Dimensional ANOVA". Journal of Mathematics 2023 (28 de marzo de 2023): 1–11. http://dx.doi.org/10.1155/2023/9350523.
Texto completoCamilli, Gregory y Lorrie A. Shepard. "The Inadequacy of ANOVA for Detecting Test Bias". Journal of Educational Statistics 12, n.º 1 (marzo de 1987): 87–99. http://dx.doi.org/10.3102/10769986012001087.
Texto completoHecke, T. Van. "Power study of anova versus Kruskal-Wallis test". Journal of Statistics and Management Systems 15, n.º 2-3 (mayo de 2012): 241–47. http://dx.doi.org/10.1080/09720510.2012.10701623.
Texto completoWetzels, Ruud, Raoul P. P. P. Grasman y Eric-Jan Wagenmakers. "A Default Bayesian Hypothesis Test for ANOVA Designs". American Statistician 66, n.º 2 (mayo de 2012): 104–11. http://dx.doi.org/10.1080/00031305.2012.695956.
Texto completoCamilli, Gregory y Lorrie A. Shepard. "The Inadequacy of ANOVA for Detecting Test Bias". Journal of Educational Statistics 12, n.º 1 (1987): 87. http://dx.doi.org/10.2307/1164630.
Texto completoJung, Byoung Cheol, Myoungshic Jhun y Seuck Heun Song. "A new random permutation test in ANOVA models". Statistical Papers 48, n.º 1 (enero de 2007): 47–62. http://dx.doi.org/10.1007/s00362-006-0315-x.
Texto completoTesis sobre el tema "ANOVA test"
Liu, Hangcheng. "Comparing Welch's ANOVA, a Kruskal-Wallis test and traditional ANOVA in case of Heterogeneity of Variance". VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3985.
Texto completoNing, Wei. "A new approach to test for interactions in two-way ANOVA models". Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2006. http://proquest.umi.com/login?COPT=REJTPTU0NWQmSU5UPTAmVkVSPTI=&clientId=3739.
Texto completoPatrick, Joshua Daniel. "Simulations to analyze Type I error and power in the ANOVA F test and nonparametric alternatives". [Pensacola, Fla.] : University of West Florida, 2009. http://purl.fcla.edu/fcla/etd/WFE0000158.
Texto completoSenteney, Michael H. "A Monte Carlo Study to Determine Sample Size for Multiple Comparison Procedures in ANOVA". Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou160433478343909.
Texto completoOpoku-Nsiah, Richard. "A computationally efficient bootstrap-equivalent test for ANOVA in skewed populations with a large number of factor levels". Diss., Kansas State University, 2017. http://hdl.handle.net/2097/38155.
Texto completoDepartment of Statistics
Haiyan Wang
Advances in technology easily collect a large amount of data in scientific research such as agricultural screening and micro-array experiments. We are particularly interested in data from one-way and crossed two-way designs that have a large number of treatment combinations but small replications with heteroscedastic variances. In this framework, several test statistics have been proposed in the literature. Even though the form of these proposed test statistics may be different, they all use limiting normal or chi-square distribution to conduct their tests. Such approximation approaches the true distribution very slowly when the sample size ni is small while the number of levels of treatments a gets large. A strategy to obtain better accuracy in the classical large sample size setting is to use the bootstrap procedure with studentized statistic. Unfortunately, the available bootstrap method fails when the number of treatment level combinations is large while the number of replications is small. The Fisher and Hall (1990) asymptotic pivotal statistic under large sample size setting is no longer pivotal under small sample size setting with large number of treatment levels. In the first part of this dissertation, we start with describing suitable bootstrap statistics and procedures for hypothesis tests in one- and two-way ANOVA with a large number of levels and small sample sizes. We prove that the theoretical type I error-rate of Akritas and Papadatos (2004) and Wang and Akritas (2006) test statistics and their corresponding bootstrap versions have accuracy of order O(1/√a). We then modify their statistics to obtain asymptotically pivotal statistics in our current framework. We prove that the theoretical type I error-rate of the bootstrap version of the pivotal statistics is accurate up to order O(1/√a). In the second part of the dissertation, we propose a new test statistic in one-way ANOVA which is asymptotically pivotal in the current setting. We improve the accuracy of approximation of the distribution of the test statistic by deriving asymptotic expansion of the statistic under the current framework and define a new test rejection region through Cornish-Fisher expansion of quantiles. The type I error-rate of the new test has a faster convergence rate and is accurate up to order O(1/a). Simulation studies show that our tests performs better in terms of type I error-rate but comparable power with that of Akritas and Papadatos (2004) in the large a small ni setting. The connection between our asymptotic expansions and bootstrap distribution in the large a small ni setting is discussed. Our proposed test based on asymptotic expansion and Cornish-Fisher expansion of quantiles have both the advantage of higher accuracy and computational efficiency due to no resampling is needed.
Larsson, Stefan. "Mixing Processes for Ground Improvement by Deep Mixing". Doctoral thesis, KTH, Civil and Architectural Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3667.
Texto completoThe thesis is dealing with mixing processes havingapplication to ground improvement by deep mixing. The mainobjectives of the thesis is to make a contribution to knowledgeof the basic mechanisms in mixing binding agents into soil andimprove the knowledge concerning factors that influence theuniformity of stabilised soil.
A great part of the work consists of a literature surveywith particular emphasis on literature on the processindustries. This review forms a basis for a profounddescription and discussion of the mixing process and factorsaffecting the process in connection with deep mixingmethods.
The thesis presents a method for a simple field test for thestudy of influential factors in the mixing process. A number offactors in the installation process of lime-cement columns havebeen studied in two field tests using statistical multifactorexperiment design. The effects of retrieval rate, number ofmixing blades, rotation speed, air pressure in the storagetank, and diameter of the binder outlet on the stabilisationeffect and the coefficient of variation determined byhand-operated penetrometer tests for excavated lime-cementcolumns, were studied.
The literature review, the description of the mixingprocess, and the results from the field tests provide a morebalanced picture of the mixing process and are expected to beuseful in connection to ground improvement projects and thedevelopment of mixing equipments.
The concept of sufficient mixture quality, i.e. theinteraction between the mixing process and the mechanicalsystem, is discussed in the last section. By means ofgeostatistical methods, the analysis considers thevolume-variability relationship with reference to strengthproperties. According to the analysis, the design values forstrength properties depends on the mechanical system, the scaleof scrutiny, the spatial correlation structure, and the conceptof safety, i.e. the concept of sufficient mixture quality isproblem specific.
Key words:Deep Mixing, Lime cement columns, Mixingmechanisms, Mixture quality, Field test, ANOVA, Variancereduction.
Sahlström, Linda. "Att klättra, springa, krypa och kasta : En effektutvärdering inom området rörelseförståelse bland barn: har interventionen ”Rörelsesatsning i skolan” gett någon effekt?" Thesis, Mälardalens högskola, Akademin för hälsa, vård och välfärd, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45321.
Texto completoGiosa, Francesca. "I test d'ipotesi e la loro declinazione in ambito medico". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15992/.
Texto completoMu, Zhiqiang. "Comparing the Statistical Tests for Homogeneity of Variances". Digital Commons @ East Tennessee State University, 2006. https://dc.etsu.edu/etd/2212.
Texto completoLaird, Daniel T. "Analysis of Covariance with Linear Regression Error Model on Antenna Control Unit Tracking". International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596393.
Texto completoOver the past several years DoD imposed constraints on test deliverables, requiring objective measures of test results, i.e., statistically defensible test and evaluation (SDT&E) methods and results. These constraints force the tester to employ statistical hypotheses, analyses and perhaps modeling to assess test results objectively, i.e., based on statistical metrics, probability of confidence and logical inference to supplement rather than rely solely on expertise, which is too subjective. Experts often disagree on interpretation. Numbers, although interpretable, are less variable than opinion. Logic, statistical inference and belief are the bases of testable, repeatable and refutable hypothesis and analyses. In this paper we apply linear regression modeling and analysis of variance (ANOVA) to time-space position information (TSPI) to determine if a telemetry (TM) antenna control unit (ACU) under test (AUT) tracks statistically, thus as efficiently, in C-band while receiving both C- and S-band signals. Together, regression and ANOVA compose a method known as analysis of covariance (ANCOVA). In this, the second of three papers, we use data from a range test, but make no reference to the systems under test, nor to causes of error. The intent is to present examples of tools and techniques useful for SDT&E methodologies in testing.
Libros sobre el tema "ANOVA test"
Solari, Aldo, Luigi Salmaso, Fortunato Pesarin y Dario Basso. Permutation Tests for Stochastic Ordering and ANOVA. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-85956-9.
Texto completoGoos, Peter. Statistics with JMP: Hypothesis tests, ANOVA, and regression. Chichester, West Sussex: John Wiley & Sons, Inc., 2016.
Buscar texto completoDario, Basso, ed. Permutation tests for stochastic ordering and ANOVA: Theory and applications with R. London ; New York: Springer, 2009.
Buscar texto completoDario, Basso, ed. Permutation tests for stochastic ordering and ANOVA: Theory and applications with R. London ; New York: Springer, 2009.
Buscar texto completoChen, Danxia, Joanne Hix y Jon Reid. Using Paired Samples t-Tests, Repeated Measures ANOVA, and MLM Techniques to Measure Business Progress. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529670622.
Texto completoC. A. . Pradip Kumar Ghosh y Er Soumadeep Ghosh. Anova Smplified: Test Your Research Hypothesis. Independently Published, 2017.
Buscar texto completoBiałowąs, Sylwester, ed. Experimental design and biometric research. Toward innovations. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, 2021. http://dx.doi.org/10.18559/978-83-8211-079-1.
Texto completoSharif, Shamshuritawati, Sharipah Soaad Syed Yahaya y Azizan Saaban. Scientific investigation on univariate quantitative methods. UUM Press, 2016. http://dx.doi.org/10.32890/9789670876757.
Texto completoGoos, Peter y David Meintrup. Statistics with JMP: Hypothesis Tests, ANOVA and Regression. Wiley & Sons, Incorporated, John, 2016.
Buscar texto completoGoos, Peter y David Meintrup. Statistics with JMP: Hypothesis Tests, ANOVA and Regression. Wiley & Sons, Incorporated, John, 2016.
Buscar texto completoCapítulos de libros sobre el tema "ANOVA test"
Lecoutre, Bruno y Jacques Poitevineau. "ANOVA Procedures". En The Significance Test Controversy Revisited, 123–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65705-8_11.
Texto completoGoto, Yuichi, Hideaki Nagahata, Masanobu Taniguchi, Anna Clara Monti y Xiaofei Xu. "Optimal Test for One-Way Random Effect Model". En ANOVA with Dependent Errors, 55–65. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4172-8_6.
Texto completoLecoutre, Bruno y Jacques Poitevineau. "Generalizations and Methodological Considerations for ANOVA". En The Significance Test Controversy Revisited, 105–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44046-9_9.
Texto completoDormann, Carsten. "The Linear Model: t-test and ANOVA". En Environmental Data Analysis, 147–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55020-2_11.
Texto completoDormann, Carsten F. "Das Lineare Modell: t-Test und ANOVA". En Parametrische Statistik, 187–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34786-3_11.
Texto completoDormann, Carsten F. "Das Lineare Modell: $t$-Test und ANOVA". En Parametrische Statistik, 195–218. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54684-0_11.
Texto completoQuicke, Donald, Buntika A. Butcher y Rachel Kruft Welton. "Analysis of variance (ANOVA)." En Practical R for biologists: an introduction, 155–65. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0013a.
Texto completoQuicke, Donald, Buntika A. Butcher y Rachel Kruft Welton. "Analysis of variance (ANOVA)." En Practical R for biologists: an introduction, 155–65. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0155.
Texto completoRayat, Charan Singh. "Variance-Ratio Test and Analysis of Variance (ANOVA)". En Statistical Methods in Medical Research, 95–109. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0827-7_12.
Texto completoO'Brien, Daniel T. "Identifying Inequities across Groups: ANOVA and t-Test". En Urban Informatics, 237–58. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003292951-16.
Texto completoActas de conferencias sobre el tema "ANOVA test"
Kumar, B. Jyothi, H. Naveen, B. Praveen Kumar, Sai Shyam Sharma y Jaime Villegas. "Logistic regression for polymorphic malware detection using ANOVA F-test". En 2017 4th International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). IEEE, 2017. http://dx.doi.org/10.1109/iciiecs.2017.8275880.
Texto completoGirisha, R. y S. Murali. "Self shadow elimination algorithm for surveillance videos using ANOVA F test". En the Third Annual ACM Bangalore Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1754288.1754300.
Texto completoEgea-Roca, Daniel, Jose A. Lopez-Salcedo, Gonzalo Seco-Granados y Wim de Wilde. "Generalized ANOVA Test for GNSS Spoofing Detection with a Dual-Polarized Antenna". En 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco47968.2020.9287663.
Texto completoMoscalu, Mihaela, Gabriel Dimitriu, Cristina gena Dascalu y Vasile lucian Boiculese. "ANALYSING THE EFFECT OF THE DEVIATION OF COVARIATES USING MULTIPLE REGRESSION". En eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-208.
Texto completoBalta, Berna, Fazıl O¨nder So¨nmez y Abdu¨lkadir Cengiz. "Gage Repeatability and Reproducibility Investigations of a Test Rig Using ANOVA/Xbar-R Method". En ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62130.
Texto completoNurrahma y Rahadian Yusuf. "Comparing Different Supervised Machine Learning Accuracy on Analyzing COVID-19 Data using ANOVA Test". En 2020 6th International Conference on Interactive Digital Media (ICIDM). IEEE, 2020. http://dx.doi.org/10.1109/icidm51048.2020.9339676.
Texto completoIsmail, Adlil Aizat, Maria Abu Bakar, Abang Annuar Ehsan, Azman Jalar, Erwan Basiron y Fakhrozi Che Ani. "Intermetallic Compound Thickness of Ball Grid Array Solder Joints Under Thermal Cycling Test Using ANOVA". En 2022 IEEE 39th International Electronics Manufacturing Technology Conference (IEMT). IEEE, 2022. http://dx.doi.org/10.1109/iemt55343.2022.9969477.
Texto completoLatuamury, Bokiraiya, Wilma N. Imlabla, John F. Sahusilawane y Husain Marasabessy. "One-way ANOVA test of five digital filter recursive graphic methods in baseflow separation on Wae Tomu Watershed Ambon City". En THE 7TH INTERNATIONAL CONFERENCE ON BASIC SCIENCES 2021 (ICBS 2021). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0111720.
Texto completoPerangin-Angin, Dariswan Janweri y Fitra A. Bachtiar. "Classification of Stress in Office Work Activities Using Extreme Learning Machine Algorithm and One-way ANOVA F-Test Feature Selection". En 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2021. http://dx.doi.org/10.1109/isriti54043.2021.9702802.
Texto completoMartinez, Oscar, Abiodun Adeniyi, Paul Nogradi, Bradley Loftin, Coleen E. Martinez y Blake Van Hoy. "Regulatory Testing and Posttest Analysis of the DPP-3 Type B Shipping Container for NCT and HAC Tests". En ASME 2021 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/pvp2021-62434.
Texto completoInformes sobre el tema "ANOVA test"
Becker, Sarah, Heather Sussman, S. Blundell, Vern Vanderbilt y Igor Semyonov. Analysis of spectropolarimetric responses in the visible and infrared for differentiation between similar materials. Engineer Research and Development Center (U.S.), septiembre de 2022. http://dx.doi.org/10.21079/11681/45422.
Texto completoIdakwo, Gabriel, Sundar Thangapandian, Joseph Luttrell, Zhaoxian Zhou, Chaoyang Zhang y Ping Gong. Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data. Engineer Research and Development Center (U.S.), julio de 2021. http://dx.doi.org/10.21079/11681/41302.
Texto completoTucker-Blackmon, Angelicque. Engagement in Engineering Pathways “E-PATH” An Initiative to Retain Non-Traditional Students in Engineering Year Three Summative External Evaluation Report. Innovative Learning Center, LLC, julio de 2020. http://dx.doi.org/10.52012/tyob9090.
Texto completoKim, Joseph J., Samuel Dominguez y Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, octubre de 2020. http://dx.doi.org/10.31979/mti.2020.1931.
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