Articles de revues : « M-statistics »

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Dehnel, Grażyna. « M-ESTIMATORS IN BUSINESS STATISTICS ». Statistics in Transition. New Series 17, n^o 4 (2016) : 749–62. http://dx.doi.org/10.21307/stattrans-2016-050.

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Dehnel, Grażyna. « M-Estimators in business statistics ». Statistics in Transition new series 17, n^o 4 (1 décembre 2016) : 749–62. http://dx.doi.org/10.59170/stattrans-2016-041.

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Recent years have seen a dynamic development in statistical methods for analysing data contaminated with outliers. One of the more important techniques that can deal with outlying observations is robust regression, which represents four decades of research. Until recently the implementation of robust regression methods, such as M-estimation or MM-estimation, was limited owing to their iterative nature. With advances in computing power and the growing availability of statistical packages, such as R and SAS, Stata, the applicability of robust regression methods has increased considerably.The aim of the study is to evaluate one of these methods, namely M-estimation, using data from a survey of small and medium-sized businesses. The comparison involves nine M-estimators, each based on a different weighting function. The results and conclusions are formulated on the basis of empirical data from the DG-1 business survey.

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Douglas, Michael R. « The statistics of string/M theory vacua ». Journal of High Energy Physics 2003, n^o 05 (19 mai 2003) : 046. http://dx.doi.org/10.1088/1126-6708/2003/05/046.

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Bedbur, Stefan, Udo Kamps et Miriam Marner. « Rényi entropy of m-generalized order statistics ». Communications in Statistics - Theory and Methods 49, n^o 14 (3 avril 2019) : 3397–406. http://dx.doi.org/10.1080/03610926.2019.1588321.

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Barakat, H. M., Magdy E. El-Adll et M. E. Sobh. « Bootstrapping $ m $-generalized order statistics with variable rank ». AIMS Mathematics 7, n^o 8 (2022) : 13704–32. http://dx.doi.org/10.3934/math.2022755.

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<abstract><p>In this paper, several bootstrap properties of $ m $-generalized order statistics ($ m $-GOSs) with variable rank (central and intermediate) are revealed. We study the inconsistency, weak consistency and strong consistency of bootstrapping central and intermediate $ m $-GOSs when the normalizing constants are assumed to be known or estimated from the re-sampled data using a proper re-sample size. Furthermore, sufficient conditions for the weak and strong consistencies of the bootstrapping distributions of central and intermediate $ m $-GOSs based on the normalizing constant estimators are given. Finally, a simulation study is conducted to determine the optimal bootstrap re-sample size corresponding to the best fitting of the bootstrapping distribution.</p></abstract>

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Ruggeri, Fabrizio. « Lee, M. P. (2012). Bayesian Statistics : An Introduction ». Statistical Methods in Medical Research 25, n^o 5 (octobre 2016) : 2397–98. http://dx.doi.org/10.1177/0962280213485508.

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Aerts, M., P. Janssen et N. Veraverbeke. « Sequential confidence intervals based on generalized m-statistics ». Sequential Analysis 6, n^o 3 (janvier 1987) : 187–206. http://dx.doi.org/10.1080/07474948708836126.

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Abada-Simon, M., et M. Aubier. « Radio burst statistics for M dwarf flare stars ». Astronomy and Astrophysics Supplement Series 125, n^o 3 (novembre 1997) : 511–21. http://dx.doi.org/10.1051/aas:1997238.

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RACHIDI, M., E. H. SAIDI et J. ZEROUAOUI. « FRACTIONAL STATISTICS IN TERMS OF THE r-GENERALIZED FIBONACCI SEQUENCES ». International Journal of Modern Physics A 18, n^o 01 (10 janvier 2003) : 159–71. http://dx.doi.org/10.1142/s0217751x03012394.

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We develop a method to approach quantum gases of quasiparticles with generalized statistics. This way is based on Fibonacci hierarchies and offers an alternative issue to the Haldane–Wu method. We give the statistical weights densities ρM of gases of quasiparticles with s = 1/M : mod (1), M ≥ 2, using the combinatorial aspects of M-generalized Fibonacci series. This is a remarkable feature which envelopes naturally the Fermi and Bose statistics.

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David, Herbert A. « Statistics on the Table : The History of Statistical Concepts and Methods. Stephen M. Stigler ». Quarterly Review of Biology 75, n^o 2 (juin 2000) : 170. http://dx.doi.org/10.1086/393386.

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Stamhuis, Ida H. « Statistics on the Table : The History of Statistical Concepts and Methods. Stephen M. Stigler ». Isis 91, n^o 4 (décembre 2000) : 762–63. http://dx.doi.org/10.1086/384953.

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Ni, Qionglin. « Statistical theory for the compressible scalar turbulence with inviscid limitation ». Modern Physics Letters B 29, n^o 10 (20 avril 2015) : 1550037. http://dx.doi.org/10.1142/s0217984915500372.

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We developed the statistical theory for compressible scalar turbulence in the inviscid limit, in which the spatial structures of the precursors of velocity and scalar discontinuities (i.e. preshock and prefront) were discussed. By analyzing the asymptotic statistics of scalar turbulence in the strong compression region, it was found that the prefront structure of scalar influenced negligible to the statistics of velocity gradient, except certain Mach number (M) modulations such as M-2/3 and M-4/3.

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Shiraishi, Taka-aki. « ON SCALE-INVARIANT M-STATISTICS IN MULTIVARIATE K SAMPLES ». JOURNAL OF THE JAPAN STATISTICAL SOCIETY 26, n^o 2 (1996) : 241–53. http://dx.doi.org/10.14490/jjss1995.26.241.

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Joshi, J. M. C. « Some applications of S. M. Joshi transform in statistics ». Integral Transforms and Special Functions 15, n^o 2 (avril 2004) : 117–27. http://dx.doi.org/10.1080/10652460310001600753.

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Yacoub, M. D., J. E. V. Bautista et L. Guerra de Rezende Guedes. « On higher order statistics of the Nakagami-m distribution ». IEEE Transactions on Vehicular Technology 48, n^o 3 (mai 1999) : 790–94. http://dx.doi.org/10.1109/25.764995.

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Wang, Qiying. « On Berry-Esseen rates for m-dependent U-statistics ». Statistics & ; Probability Letters 41, n^o 2 (janvier 1999) : 123–30. http://dx.doi.org/10.1016/s0167-7152(98)00128-x.

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Ubriaco, Marcelo R. « Stability and anyonic behavior of systems with M-statistics ». Physica A : Statistical Mechanics and its Applications 392, n^o 20 (octobre 2013) : 4868–73. http://dx.doi.org/10.1016/j.physa.2013.06.062.

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Han, Sang-Moon. « Adaptive M-estimation using Selector Statistics in Location Model ». Communications for Statistical Applications and Methods 9, n^o 2 (1 août 2002) : 325–35. http://dx.doi.org/10.5351/ckss.2002.9.2.325.

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Eryilmaz, Serkan. « Discrete Scan Statistics Generated by Exchangeable Binary Trials ». Journal of Applied Probability 47, n^o 4 (décembre 2010) : 1084–92. http://dx.doi.org/10.1239/jap/1294170521.

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Let {Xi}i=1n be a sequence of random variables with two possible outcomes, denoted 0 and 1. Define a random variable Sn,m to be the maximum number of 1s within any m consecutive trials in {Xi}i=1n. The random variable Sn,m is called a discrete scan statistic and has applications in many areas. In this paper we evaluate the distribution of discrete scan statistics when {Xi}i=1n consists of exchangeable binary trials. We provide simple closed-form expressions for both conditional and unconditional distributions of Sn,m for 2m ≥ n. These results are also new for independent, identically distributed Bernoulli trials, which are a special case of exchangeable trials.

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Eryilmaz, Serkan. « Discrete Scan Statistics Generated by Exchangeable Binary Trials ». Journal of Applied Probability 47, n^o 04 (décembre 2010) : 1084–92. http://dx.doi.org/10.1017/s0021900200007385.

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Let {X i } i=1 n be a sequence of random variables with two possible outcomes, denoted 0 and 1. Define a random variable S n,m to be the maximum number of 1s within any m consecutive trials in {X i } i=1 n . The random variable S n,m is called a discrete scan statistic and has applications in many areas. In this paper we evaluate the distribution of discrete scan statistics when {X i } i=1 n consists of exchangeable binary trials. We provide simple closed-form expressions for both conditional and unconditional distributions of S n,m for 2m ≥ n. These results are also new for independent, identically distributed Bernoulli trials, which are a special case of exchangeable trials.

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Eroglu, Deniz, Bruce M. Boghosian , Ernesto P. Borges et Ugur Tirnakli. « The Statistics of q-Statistics ». Entropy 26, n^o 7 (28 juin 2024) : 554. http://dx.doi.org/10.3390/e26070554.

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Almost two decades ago, Ernesto P. Borges and Bruce M. Boghosian embarked on the intricate task of composing a manuscript to honor the profound contributions of Constantino Tsallis to the realm of statistical physics, coupled with a concise exploration of q-Statistics. Fast-forward to Constantino Tsallis’ illustrious 80th birthday celebration in 2023, where Deniz Eroglu and Ugur Tirnakli delved into Constantino’s collaborative network, injecting renewed vitality into the project. With hearts brimming with appreciation for Tsallis’ enduring inspiration, Eroglu, Boghosian, Borges, and Tirnakli proudly present this meticulously crafted manuscript as a token of their gratitude.

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Zhan, Wei, Rainer Fink et Alex Fang. « Application Of Statistics In Engineering Technology Programs ». American Journal of Engineering Education (AJEE) 1, n^o 1 (1 décembre 2010) : 65–78. http://dx.doi.org/10.19030/ajee.v1i1.793.

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Statistics is a critical tool for robustness analysis, measurement system error analysis, test data analysis, probabilistic risk assessment, and many other fields in the engineering world. Traditionally, however, statistics is not extensively used in undergraduate engineering technology (ET) programs, resulting in a major disconnect from industry expectations. The research question: How to effectively integrate statistics into the curricula of ET programs, is in the foundation of this paper. Based on the best practices identified in the literature, a unique “learning-by-using” approach was deployed for the Electronics Engineering Technology Program at Texas A&M University. Simple statistical concepts such as standard deviation of measurements, signal to noise ratio, and Six Sigma were introduced to students in different courses. Design of experiments (DOE), regression, and the Monte Carlo method were illustrated with practical examples before the students applied the newly understood tools to specific problems faced in their engineering projects. Industry standard software was used to conduct statistical analysis on real results from lab exercises. The result from a pilot project at Texas A&M University indicates a significant increase in using statistics tools in course projects by students. Data from student surveys in selected classes indicate that students gained more confidence in statistics. These preliminary results show that the new approach is very effective in applying statistics to engineering technology programs.

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JAIN, PANKAJ, et JOHN P. RALSTON. « ANISOTROPY IN THE PROPAGATION OF RADIO POLARIZATIONS FROM COSMOLOGICALLY DISTANT GALAXIES ». Modern Physics Letters A 14, n^o 06 (28 février 1999) : 417–32. http://dx.doi.org/10.1142/s0217732399000481.

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Radiation traversing the observable universe provides powerful ways to probe anisotropy of electromagnetic propagation. A controversial recent study claimed a signal of dipole character. Here we test a new and independent data set of 361 points under the null proposal of statistical independence of linear polarization alignments relative to galaxy axes, versus angular positions. The null hypothesis is tested via maximum likelihood analysis of best fits among numerous independent types of factored distributions. We also examine single-number correlations which are parameter free, invariant under coordinate transformations, and distributed very robustly. The statistics are shown explicitly not to depend on the uneven distribution of sources on the sky. We find that the null proposal is not supported at the level of less than 5% to less than 0.1% by several independent statistics. The signal of correlation violates parity, i.e. symmetry under spatial inversion, and requires a statistic which transforms properly. The data indicate an axis of correlation, on the basis of likelihood determined to be [ R.A. = (0 h , 9 m )±(1 h , 0 m ), Decl. =-1°±15°].

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Lester, David. « Predicting Success in Psychological Statistics Courses ». Psychological Reports 118, n^o 3 (juin 2016) : 772–77. http://dx.doi.org/10.1177/0033294116647687.

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Many students perform poorly in courses on psychological statistics, and it is useful to be able to predict which students will have difficulties. In a study of 93 undergraduates enrolled in Statistical Methods (18 men, 75 women; M age = 22.0 years, SD = 5.1), performance was significantly associated with sex (female students performed better) and proficiency in algebra in a linear regression analysis. Anxiety about statistics was not associated with course performance, indicating that basic mathematical skills are the best correlate for performance in statistics courses and can usefully be used to stream students into classes by ability.

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Bartolomei, H., M. Kumar, R. Bisognin, A. Marguerite, J. M. Berroir, E. Bocquillon, B. Plaçais et al. « Fractional statistics in anyon collisions ». Science 368, n^o 6487 (9 avril 2020) : 173–77. http://dx.doi.org/10.1126/science.aaz5601.

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Two-dimensional systems can host exotic particles called anyons whose quantum statistics are neither bosonic nor fermionic. For example, the elementary excitations of the fractional quantum Hall effect at filling factor ν = 1/m (where m is an odd integer) have been predicted to obey Abelian fractional statistics, with a phase ϕ associated with the exchange of two particles equal to π/m. However, despite numerous experimental attempts, clear signatures of fractional statistics have remained elusive. We experimentally demonstrate Abelian fractional statistics at filling factor ν = ⅓ by measuring the current correlations resulting from the collision between anyons at a beamsplitter. By analyzing their dependence on the anyon current impinging on the splitter and comparing with recent theoretical models, we extract ϕ = π/3, in agreement with predictions.

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Patijn, Jacob. « Reproducibility protocol for diagnostic procedures in Manual/Musculoskeletal Medicine ». Manuelle Medizin 57, n^o 6 (29 octobre 2019) : 451–79. http://dx.doi.org/10.1007/s00337-019-00581-5.

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Abstract The International Academy of Manual/Musculoskeletal Medicine (IAMMM) has completely revised the protocol for reproducibility studies of diagnostic procedures in Manual/Musculoskeletal Medicine (M/M Medicine). The protocol was and is aimed at the practitioners in the field of M/M Medicine. This IAMMM protocol can be used in a very practical way and makes it feasible to perform reproducibility studies equally well in private practices and clinics for M/M Medicine with two or more physicians and as by educational boards of the societies of M/M Medicine. This IAMMM protocol provides practical solutions for sample size calculations in reproducibility studies using kappa statistics. Step by step, many different statistical aspects of reproducibility studies are explained, resulting in a very structured protocol format of how to perform a reproducibility study using overall agreement and the kappa value as statistical outcome.

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Almaspoor, Zahra, Ali Akbar Jafari et Saeid Tahmasebi. « Measures of Extropy for Concomitants of Generalized Order Statistics in Morgenstern Family ». Journal of Statistical Theory and Applications 21, n^o 1 (3 janvier 2022) : 1–20. http://dx.doi.org/10.1007/s44199-021-00038-6.

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AbstractIn this paper, a measure of extropy is obtained for concomitants of m-generalized order statistics in the Morgenstern family. The cumulative residual extropy (CREX) and negative cumulative extropy (NCEX) are presented for the rth concomitant of m-generalized order statistics. In addition, the problem of estimating the CREX and NCEX is studied utilizing the empirical method in concomitants of m-generalized order statistics. Some applications of these results are given for the concomitants of order statistics and record values.

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Jiang, Yine, et Lantao Zhao. « The origin of bipolar disorder in ceramic artists from the perspective of positive psychology ». CNS Spectrums 28, S2 (octobre 2023) : S115. http://dx.doi.org/10.1017/s1092852923005424.

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BackgroundIn recent years, the proportion of bipolar disorder among ceramic artists has increased significantly. From the perspective of positive psychology, the study further analyzed the risk factors of bipolar disorder.Subjects and MethodsThe study recruited ceramic artist volunteers as research objects and divided them into a bipolar group and a non-bipolar group. According to artistic creativity, family, endocrine function and other factors of the study subjects data statistics. Statistical software Statistica was used for data analysis, and the T-test or correlation coefficient were used to evaluate the correlation of factors.ResultsBy analyzing the social media texts of science and engineering students, the study found several factors related to employment anxiety. In the bipolar group, the score of creative stress was significantly higher than that in the non-bipolar group (M=4.62 in the manic-depressive group and M=3.31 in the non-manic-depressive group, P<0.001). Competitive stress (M=3.81 in the manic-depressive group and M=2.92 in the non-manic-depressive group, P<0.001) and personal negative experience (M=4.19 in the manic-depressive group and M=3.24 in the non-manic-depressive group, P<0.001) also had significantly higher scores in the manic-depressive group.ConclusionsBased on the analysis of positive psychology, this study analyzed the causes of bipolar disorder induced by ceramic artists. Through statistical analysis using Statistica, the results showed that creativity, competitive pressure and personal negative experience were positively correlated with the manic-depressive index of ceramic artists. This study provides valuable information for psychological support measures for patients with bipolar disorder, thus promoting the artistic development of ceramists.

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Ramello, Giovanni B., et Francesco Silva. « History, statistics and theory : Frederic M. Scherer and modern industrial organization ». ECONOMIA E POLITICA INDUSTRIALE, n^o 1 (mars 2014) : 5–11. http://dx.doi.org/10.3280/poli2014-001001.

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Abadir, Karim M., et André Lucas. « Quantiles for t-statistics based on M-estimators of unit roots ». Economics Letters 67, n^o 2 (mai 2000) : 131–37. http://dx.doi.org/10.1016/s0165-1765(99)00254-2.

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Goroncy, Agnieszka, et Udo Kamps. « Relations for m-generalized order statistics via an Opial-type inequality ». Journal of Statistical Planning and Inference 142, n^o 6 (juin 2012) : 1457–63. http://dx.doi.org/10.1016/j.jspi.2011.12.026.

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Frey, Jesse. « Modern Applied U-Statistics by KOWALSKI, J. and TU, X. M. » Biometrics 64, n^o 3 (18 août 2008) : 994–95. http://dx.doi.org/10.1111/j.1541-0420.2008.01082_9.x.

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Savitz, Ryan, Fred Savitz, David DiMarco et Blane Hollingsworth. « The M-tile Means as a Statistics Project and Pedagogical Aid ». PRIMUS 30, n^o 3 (1 juillet 2019) : 307–15. http://dx.doi.org/10.1080/10511970.2019.1577931.

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Taylor, Jeremy A., et Marta I. Garrido. « Porthole and Stormcloud : Tools for Visualisation of Spatiotemporal M/EEG Statistics ». Neuroinformatics 18, n^o 3 (5 janvier 2020) : 351–63. http://dx.doi.org/10.1007/s12021-019-09447-6.

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Savelov, M. P. « Limit joint distribution of $U$-statistics, $M$-estimates, and sample quantiles ». Вестник Московского университета. Серия 1 : Математика. Механика, n^o 6 (2023) : 9–16. http://dx.doi.org/10.55959/msu0579-9368-1-64-6-1.

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Рассматриваются независимые одинаково распределенные случайные векторы $X_1, X_2, \ldots, X_n$, а также вектор $V(X_1, X_2, \ldots, X_n)$, каждая компонента которого является или $U$-статистикой, или $M$-оценкой. Установлены достаточные условия асимптотической нормальности вектора $V(X_1, X_2, \ldots, X_n)$. В случае, когда $X_1, X_2, \ldots$ одномерны, получены достаточные условия асимптотической нормальности вектора, каждая компонента которого является или $U$-статистикой, или $M$-оценкой, или выборочной квантилью.

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RAMIREZ, CAROLINE, CANDACE SCHAU et ESMA EMMİOĞLU. « THE IMPORTANCE OF ATTITUDES IN STATISTICS EDUCATION ». STATISTICS EDUCATION RESEARCH JOURNAL 11, n^o 2 (30 novembre 2012) : 57–71. http://dx.doi.org/10.52041/serj.v11i2.329.

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People forget what they do not use. But attitudes “stick.” Our article emphasizes the importance of students’ attitudes toward statistics. We examine 15 surveys that purport to assess these attitudes and then describe the Survey of Attitudes Toward Statistics, a commonly used attitude survey. We present our conceptual model of Students’ Attitudes Toward Statistics (SATS-M), which is congruent with Eccles and colleagues’ Expectancy-Value Theory (Eccles’ EVT), as well as others. The SATS-M includes three broad constructs that impact Statistics Course Outcomes: Student Characteristics, Previous Achievement-Related Experiences, and Statistics Attitudes. We briefly describe Eccles’ EVT and other theories that support our SATS-M. We relate findings from research using the SATS to our model and end with implications for statistics education. First published November 2012 at Statistics Education Research Journal: Archives

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Whitley, Cameron T., et Thomas Dietz. « Turking Statistics : Student-generated Surveys Increase Student Engagement and Performance ». Teaching Sociology 46, n^o 1 (18 juillet 2017) : 44–53. http://dx.doi.org/10.1177/0092055x17721952.

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Thirty years ago, Hubert M. Blalock Jr. published an article in Teaching Sociology about the importance of teaching statistics. We honor Blalock’s legacy by assessing how using Amazon Mechanical Turk (MTurk) in statistics classes can enhance student learning and increase statistical literacy among social science gradaute students. In addition, we assess whether using MTurk has an impact on student ability to make professional progress. We find that, compared to traditional teaching methods, using MTurk increased student performance, perceptions, and outcomes. In addition, using MTurk resulted in a measurable increase in statistical literacy. We recommend that instructors teaching statistics consider how MTurk or similar technologies can be used in their classrooms.

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Xiong, Qiang, Zhiyong Hu et Yuan Li. « Statistic inference for a single-index ARCH-M model ». Communications in Statistics - Theory and Methods 47, n^o 1 (8 septembre 2017) : 102–17. http://dx.doi.org/10.1080/03610926.2017.1300283.

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Mji, Andile. « Differences in University Students' Attitudes and Anxiety about Statistics ». Psychological Reports 104, n^o 3 (juin 2009) : 737–44. http://dx.doi.org/10.2466/pr0.104.3.737-744.

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The Statistics Anxiety Rating Scale and the Attitudes Toward Statistics questionnaire were administered to 226 university of technology students. The former scale measures anxiety about learning statistics in terms of Worth of Statistics, Interpretation Anxiety, Test and Class Anxiety, Computational Self-concept, Fear of Asking for Help, and Fear of Statistics Teachers. The latter measures attitudes toward use of statistics and statistics course for which a student was registered. These African students were enrolled in Taxation, Marketing, or Accounting. Participants took a required course in statistics intended to improve statistical skills. There were 150 women and 57 men, chosen because they had no previous mathematics learning. Students' ages ranged between 16 and 26 years ( M = 20.1, SD = 2.0). There were no statistically significant sex differences on attitudes and anxiety toward statistics, but there were significant differences among areas of study programs.

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Lu, Maozu, et Grayham E. Mizon. « The Encompassing Principle and Hypothesis Testing ». Econometric Theory 12, n^o 5 (décembre 1996) : 845–58. http://dx.doi.org/10.1017/s0266466600007180.

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The exponentially tilted family of densities is used to discuss the relationship between the encompassing principle and the M-test or conditional moment testing principle. It is shown that the two principles are capable of generating the same test statistics and in this sense equivalent. However, there are differences in motivation and emphasis underlying the principles that are important in econometric modeling. In addition, parsimonious encompassing interpretations for test statistics, including those of Cox (1961, in Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability I, pp. 105-123; 1962, Journal of the Royal Statistical Society, Series B 24, 406-424) and Atkinson (1970, Journal of the Royal Statistical Society, Series B 32, 323-344) are provided.

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Kolesnik, Sergei, Yossi Rabinovitz, Michael Byalsky, Asher Yahalom et Alon Kuperman. « Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production ». Energies 16, n^o 9 (4 mai 2023) : 3892. http://dx.doi.org/10.3390/en16093892.

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Statistical characteristics of the wind speed in the Samaria region of Israel have been analyzed by processing 11 years of wind data provided by the Israeli Meteorological Service, recorded at a 10 m height above the ground. The cumulative mean wind speed at a measurement height was shown to be 4.53 m/s with a standard deviation of 2.32 m/s. The prevailing wind direction was shown to be characterized by a cumulative mean azimuth of 226° with a standard deviation of 79.76°. The results were extrapolated to a 70 m height in order to estimate wind characteristics at the hub height of a medium-scale wind turbine. Moreover, Weibull distribution parameters were calculated annually, monthly, and seasonally, demonstrating a good match with histogram-based statistical representations. The shape parameter of the Weibull distribution was shown to reside within a narrow range of 1.93 to 2.15, allowing us to assume a Rayleigh distribution, thus simplifying wind turbine energy yield calculations. The novelty of the current paper is related to gathering wind statistics for a certain area (Samaria), and we are not aware of any published statistics regarding wind velocity and direction in this area. These data may be interesting for potential regional wind energy development in which the obtained Weibull distribution could be used in calculations for the expected power generation of particular turbines with a known power dependence on velocity. We have given an example of these calculations for three different types of turbines and obtained their yield in terms of electric power and economic value. We also point out that the fact that realistic wind velocity statistics can be described well by an analytic formula (Weibull distribution) is not trivial, and in fact, the fit may have been poor.

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Barakat, H. M., et A. H. Syam. « Comparison between the two Huang-Kotz FGM types by some information measures in generalized order statistics and their concomitants ». Filomat 37, n^o 12 (2023) : 3999–4016. http://dx.doi.org/10.2298/fil2312999b.

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In this paper, we study the concomitants of m?dual generalized order statistics (and consequently m?generalized order statistics) from Huang-Kotz Farlie-Gumble-Morgenstern bivariate distribution (HK-FGM) of the types 1 and 2. Some important information measures are derived and studied for ordinary order statistics and sequential order statistics with a comparison. Specifically, the Shannon entropy, inaccuracy measure, and Fisher information number. Moreover, a comparison between the two types of HK-FGM distribution is carried out.

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MOLINA, FLAVIO B., FABIO A. MACHADO et HUSSAM ZAHER. « Taxonomic validity of Mesoclemmys heliostemma (McCord, Joseph-Ouni & ; Lamar, 2001) (Testudines, Chelidae) inferred from morphological analysis ». Zootaxa 3575, n^o 1 (7 décembre 2012) : 63. http://dx.doi.org/10.11646/zootaxa.3575.1.4.

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Mesoclemmys heliostemma (Testudines: Chelidae) was described based on five vouchered specimens and nine live spec-imens from the western Amazon basin. Some authors questioned its status as a valid species, suggesting that it representsa junior synonym of M. raniceps. Here, we report on eight additional specimens from eastern Peru and northern Brazil,and provide descriptive statistics of morphological characters for hatchlings, juveniles, and adults of M. heliostemma, M.raniceps, and M. gibba. We also test for group differences through univariate and multivariate statistical analyses, anddiscuss some advantages of this methodology. Our data suggest that all three taxa are morphologically divergent, and that M. heliostemma is a valid species.

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Oliveira, Ivanildo A. de, Milton C. C. Campos, Robson V. dos Santos, Romaria G. de Almeida, Thalita S. Martins, Douglas M. P. da Silva, Ludmila de Freitas, Flavio P. de Oliveira et Bruno C. Mantovanelli. « Geostatistics and Sample Density of Chemical Attributes for Soil under Sugarcane and Agroforestry in Humaitá – AM, Brazil ». Journal of Sustainable Development 16, n^o 4 (25 juin 2023) : 79. http://dx.doi.org/10.5539/jsd.v16n4p79.

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There is a lack of studies focusing on spatial variance of chemical attributes in Amazonas, Brazil. The objective of this study was to evaluate geo-statistics and sample density of chemical attributes in soils under sugarcane and agroforestry, Humaitá, Amazon state, Brazil. The research was carried out in the municipality of Humaitá, Amazon state, the areas were in meshes of 70 m x 70 m regularly spaced by 10 m, with 64 points per area, and then soil samples were collected in layers of 0.0-0.2 m and 0.4-0.6 m. We performed chemical analyses of the proprieties of soil. Then, it was applied descriptive statistics, geo-statistics and sample density techniques based on semivariogram coefficient of variation and range. As a result, we observed spatial dependence for most of the chemical proprieties in the two areas. Based on Cline, sugarcane presented a sample density of 237 (0.0-0.2 m) and 225 (0.4-0.6 m); and agroforestry had 356 (0.0-0.2 m) and 465 (0.4-0.6 m) points per hectare. Yet in the range sample density, sugarcane showed 30 (0.0-0.2 m) and 5 (0.4-0.6 m), whereas agroforestry areas had 23 (0.0-0.2 m) and 9 (0.4-0.6 m) points per ha.

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Villegas Zamora, Diego Alonso. « Importancia de la estadística aplicada para la toma de decisiones en marketing ». Revista Boliviana de Administración 3, n^o 2 (13 juillet 2021) : 63–74. http://dx.doi.org/10.33996/reba.v3i2.6.

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Anderson, D.; Sweeney, D. & Williams, T (2008). Estadística para administración y economía. 0 ed. México. Cengage Learning Azcárate, P. (2006). ¿Por qué no nos gusta enseñar estadística y probabilidad? Conferencia realizada en XII, Jornadas de Investigación en el Aula de Matemáticas: Estadística y azar, Granada, España Batanero, C. (2002a). Los retos de la cultura estadística, Jornadas interamericanas de enseñanza de la estadística, Buenos Aires, conferencia inaugural Batanero, C. (2002b). Estadística y didáctica de la matemática: Relaciones, problemas y aportaciones mutuas. En M. Penalva, G. Torregrosa y J. Valls (Coords.). Aportaciones de la didáctica de la Matemática a diferentes perfiles profesionales (pp. 95-120). Murcia: Editorial Compobell Batanero, C. (2005). Significados de la probabilidad en la educación secundaria. Revista Latinoamericana de Investigación en Matemáticas, 8(3), 247-264 Batanero, C., Godino, J. D., Green, D. R., Holmes, P & Vallecillos, A. (1994). Errors and difficulties in understanding elementary statistical concepts. International Journal of Mathematics Education in Science and Technology, 25(4), 527-547 Behar, R. & Ojeda, M. (2000). El proceso de aprendizaje de la estadística: ¿Qué puede estar fallando? Heurística, 10, 26-43 Blalock, H. M. (1998). Estadística social. México. FCE. 6” reimpresión Casas-Sánchez, J. M. & Santos-Peñas, J. (2002). Introducciónalaestadísticaparaadministración y dirección de empresas segunda edición DeGroot, M. H. (2012). Probability and statistics. Pearson DeGroot, M. H., & Fienberg, S. E. (1981). Assessing Probability Assessors: Calibration and Refinement. CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF STATISTICS Easterby-Smith, M., Thorpe, R., Jackson, P. R., & Jaspersen, L. J. (2018). Management and business research. Sage Friz, C. M.; Sanhueza, H. S. & Figueroa, M. E. (2011). Concepciones de los estudiantes para profesor de Matemáticas sobre las competencias profesionales implicadas en la enseñanza de la Estadística. Revista electrónica de investigación educativa, 13(2), 113-131 Gómez, L. (2013). Diseño de un sistema de información de marketing. Tesis para optar por el título de Máster en Dirección, Universidad de La Habana. 2008. [2]. s/a, (2013). Los sistemas de Marketing, Recuperado el 2013, de cvh. ehu.es: http://cvb.ehu.es/open_course_ware/ castellano/social_juri /marketing/tema-5/ tema-5.pdf Holmes, P. (1980). Teaching Statistics, 11-16. Sloug: Foulsham Educational Lent, B., Dost, S., Redden, R. F., & Liu, Y. (2002). Mathematical simulation of the traveling heater method growth of ternary semiconductor materials under suppressed gravity conditions. Journal of crystal growth, 237, 1876-1880 Mood, A.M. & Graybill, E.A, (1972). Introducción a la teoría estadística. México Moreno, J.L. (1998), “Statistical Literacy. Statistics Long after School”, en L., Pereira- Mendoza et al. (ed.), Proceedings of the 5th International Conference on Teaching Statistics, Singapur, pp. 447-452 Muñoz, E. D. (2007). El aprendizaje de la estadística en estudiantes universitarios de profesiones no matemáticas. Educación Matemática, 19(2), 41- 66 Ottaviani, M. G. (1998). Developments and perspectivesinstatistical education. Documento presentado en el Congreso Estadística para el desarrollo Económico y Social, Aguascalientes, México Pacheco, E. A. (2013). La estadística aplicada como herramienta para la dirección integral de las organizaciones. (Spanish). Gestión Y Estrategia, (44), 125-138 Pomilio, C., Miño, M., Brignone, N., Facal, G., Telesnicki, M., Fass, M., Filloy, J., Cueto, G., Fernández, M., & Perez, A. (2017). Análisis de actividades sobre estadística descriptiva en libros de educación media: ¿Qué se pretende que los estudiantes aprendan? Porter, M. E. (2015). Estrategia competitiva: técnicas para el análisis de los sectores industriales y de la competencia. Grupo Editorial Patria Ritchey, E. J. (2008). Estadística para las ciencias sociales. México. McGraw-Hill. 2da edición Rowley, J., & Farrow, J. (2018). Organizing Knowledge: An Introduction to Managing Access to Information: Introduction to Access to Information. Routledge Sosa-Escudero, W. (2014). Qué es (y qué no es) la estadística: Usos y abusos de una Disciplina clave en la vida de los países y las personas. Buenos Aires: Siglo Veintiuno Editores Tovar, C. J.; Castillo, S. H. & Marín, M. del P. (2010). Preconcepciones de estudiantes de la Pontificia Universidad Javeriana Cali sobre el curso de estadística. Pensamiento Psicológico, 3(9). Recuperado a partir de //revistas.javerianacali. edu.co/index.php/pensamientopsicologico/ article/view/60 Utts, J. (2002), “What Educated Citizens Should Know About Statistics and Probability”, Proceedings of the 6th International Conference on Teaching Statistics, Sudáfrica Webster, A. L., & García, Y. M. (2000). Estadística aplicada a los negocios y la economía

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Kim, Steven B., et Jeffrey O. Wand. « Sequential Testing in Reliability and Validity Studies With Repeated Measurements per Subject ». International Journal of Statistics and Probability 8, n^o 1 (24 décembre 2018) : 120. http://dx.doi.org/10.5539/ijsp.v8n1p120.

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In medical, health, and sports sciences, researchers desire a device with high reliability and validity. This article focuses on reliability and validity studies with n subjects and m ≥2 repeated measurements per subject. High statistical power can be achieved by increasing n or m, and increasing m is often easier than increasing n in practice unless m is too high to result in systematic bias. The sequential probability ratio test (SPRT) is a useful statistical method which can conclude a null hypothesis H0 or an alternative hypothesis H1 with 50% of the required sample size of a non-sequential test on average. The traditional SPRT requires the likelihood function for each observed random variable, and it can be a practical burden for evaluating the likelihood ratio after each observation of a subject. Instead, m observed random variables per subject can be transformed into a test statistic which has a known sampling distribution under H0 and under H1. This allows us to formulate a SPRT based on a sequence of test statistics. In this article, three types of study are considered: reliabilityof a device, reliability of a device relative to a criterion device, and validity of a device relative to a  criterion device. Using SPRT for testing the reliability of a device, for small m, results in an average sample size of about 50% of the fixed sample size for a non-sequential test. For comparing a device to criterion, the average sample size approaches to 60% approximately as m increases. The SPRT tolerates violation of normality assumption for validity study, but it does not for reliability study.

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Bachir, Ahmed, Ibrahim Mufrah Almanjahie et Mohammed Kadi Attouch. « The k Nearest Neighbors Estimator of the M-Regression in Functional Statistics ». Computers, Materials & ; Continua 65, n^o 3 (2020) : 2049–64. http://dx.doi.org/10.32604/cmc.2020.011491.

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Auster, Carol J. « Probability Sampling and Inferential Statistics : An Interactive Exercise Using M&M's ». Teaching Sociology 28, n^o 4 (octobre 2000) : 379. http://dx.doi.org/10.2307/1318587.

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Weyl, Peter K. « Practical Spreadsheet Statistics and Curve Fitting for Scientists and Engineers.Louis M. Mezei ». Quarterly Review of Biology 66, n^o 3 (septembre 1991) : 370. http://dx.doi.org/10.1086/417325.

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Aboukalam, M. A. F. « Some robust two-sample test statistics based on m-estimators of location ». Communications in Statistics - Simulation and Computation 21, n^o 1 (janvier 1992) : 133–48. http://dx.doi.org/10.1080/03610919208813011.

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