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Theory Of Rank Tests Sidak
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Book Synopsis Theory of Rank Tests by : Zbynek Sidak
Download or read book Theory of Rank Tests written by Zbynek Sidak and published by Elsevier. This book was released on 1999-04-06 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Asymptotic Methods Nonparametrics Convergence of Probability Measures Statistical Inference
Download or read book Theory of Rank Tests, Sidak written by and published by . This book was released on 1967 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Theory of Rank Tests by : Jaroslav Hájek
Download or read book Theory of Rank Tests written by Jaroslav Hájek and published by . This book was released on 1967 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kniha shrnuje nejnovější, většinou ještě neuveřejněné poznatky z teorie statistických pořadových testů, z nichž některé jsou dílem autorů knihy. Podává ucelený systematický výklad a zdůrazňuje přitom studium optimality a.
Book Synopsis Theory of Rank Tests [by] Jaroslav Hájek [and] Zbyněk Šidák by : Jaroslav Hájek
Download or read book Theory of Rank Tests [by] Jaroslav Hájek [and] Zbyněk Šidák written by Jaroslav Hájek and published by . This book was released on 1967 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Theory of Rank Tests Rank Tests by : Edwin Arnold Menninger
Download or read book Theory of Rank Tests Rank Tests written by Edwin Arnold Menninger and published by . This book was released on 1967 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Some Results on the Theory of Rank Tests for Two Or More Samples from Categorical Populations by : Gerald R. Hobbs
Download or read book Some Results on the Theory of Rank Tests for Two Or More Samples from Categorical Populations written by Gerald R. Hobbs and published by . This book was released on 1973 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Rank Tests with Estimated Scores and Their Application by : Georg Neuhaus
Download or read book Rank Tests with Estimated Scores and Their Application written by Georg Neuhaus and published by Springer-Verlag. This book was released on 2013-04-17 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Contributions to the Theory of Rank Tests by : J. Sarangi
Download or read book Contributions to the Theory of Rank Tests written by J. Sarangi and published by . This book was released on 1966 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this study is to investigate the asymptotic behaviour of certain (conditional) rank tests for comparative experiments proposed by Hodges and Lehmann (1962), and their extensions and variations. The results obtained in this thesis are extensions of the results of Mehra and Sarangi (1965) (where the case of complete designs was discussed) to the case of balanced and partially balanced incomplete block designs. The methods employed are based on certain properties of the U-statistics derived by Hoeffding (1948). In Chapter I, a brief resume of the relevant earlier work has been given and the test proposed by Hodges and Lehmann described. In Chapter II, a simplified large sample version of this test is discussed, which reduces its application to reading the critical value from the chi-square tables. In Chapter III, the asymptotic distribution of the test statistic, under a sequence of alternatives approaching the null hypothesis has been found to follow a non-central chi-square law. This helps us to study the power properties and the Pitman efficiency of the test statistics in Chapter IV. Explicit numerical evaluations of the expressions for asymptotic efficiency, which has been limited to the normal form of the parent distribution, indicates a rather high degree of efficiency of the test. Chapters IV and V contain several remarks that follow from the results of our investigation, including a useful lower bound for the asymptotic efficiency of the investigated test relative to the classical F-test. Further investigations that will throw more light on our present findings have been suggested at suitable places.
Book Synopsis Theory of Preliminary Test and Stein-Type Estimation with Applications by : A. K. Md. Ehsanes Saleh
Download or read book Theory of Preliminary Test and Stein-Type Estimation with Applications written by A. K. Md. Ehsanes Saleh and published by John Wiley & Sons. This book was released on 2006-04-28 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference. It is an in-depth introduction to the estimation theory for graduate students, practitioners, and researchers in various fields, such as statistics, engineering, social sciences, and medical sciences. Coverage of the material is designed as a first step in improving the estimates before applying full Bayesian methodology, while problems at the end of each chapter enlarge the scope of the applications. This book contains clear and detailed coverage of basic terminology related to various topics, including: * Simple linear model; ANOVA; parallelism model; multiple regression model with non-stochastic and stochastic constraints; regression with autocorrelated errors; ridge regression; and multivariate and discrete data models * Normal, non-normal, and nonparametric theory of estimation * Bayes and empirical Bayes methods * R-estimation and U-statistics * Confidence set estimation
Book Synopsis Fundamentals of Order and Rank Statistics by : Iickho Song
Download or read book Fundamentals of Order and Rank Statistics written by Iickho Song and published by Springer Nature. This book was released on with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Contributions To The Theory Of Two-sample Rank Tests by : Eplett William John Rowland
Download or read book Contributions To The Theory Of Two-sample Rank Tests written by Eplett William John Rowland and published by . This book was released on 1977 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Comparison of Classification and Hypothesis Testing Procedures for Choosing Between Competing Families of Distributions, Including a Survey of the Goodness of Fit Tests by : Alan R. Dyer
Download or read book A Comparison of Classification and Hypothesis Testing Procedures for Choosing Between Competing Families of Distributions, Including a Survey of the Goodness of Fit Tests written by Alan R. Dyer and published by . This book was released on 1971 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Procedures for determining from which of two parametric families a random sample has been drawn are considered. Primary attention is focused on families which are location and/or scale invariant. The procedures are compared using Monte Carlo sampling techniques for six pairs of distributions. Certain procedures based on sample spacing are shown to compare quite favorably with the 'best' invariant and likelihood ratio procedures. Procedures are considered in both the classification and hypothesis testing frameworks. (Author).
Book Synopsis Statistical Models for Data Analysis by : Paolo Giudici
Download or read book Statistical Models for Data Analysis written by Paolo Giudici and published by Springer Science & Business Media. This book was released on 2013-07-01 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society.
Book Synopsis Nonparametric Statistical Inference by : Jean Dickinson Gibbons
Download or read book Nonparametric Statistical Inference written by Jean Dickinson Gibbons and published by CRC Press. This book was released on 2014-03-10 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.
Book Synopsis Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability by : Lucien Marie Le Cam
Download or read book Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability written by Lucien Marie Le Cam and published by Univ of California Press. This book was released on 1967 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Probability and Statistics by : Giri
Download or read book Introduction to Probability and Statistics written by Giri and published by Routledge. This book was released on 2019-01-22 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.
Book Synopsis Introduction to Probability and Statistics, Second Edition, by : Giri
Download or read book Introduction to Probability and Statistics, Second Edition, written by Giri and published by CRC Press. This book was released on 1993-04-20 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.
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