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Asymptotically Optimal Test Of Homogenity For Samples From Multinomial Distributions
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Book Synopsis Asymptotically Optimal Test of Homogenity for Samples from Multinomial Distributions by : Vladimir Levin
Download or read book Asymptotically Optimal Test of Homogenity for Samples from Multinomial Distributions written by Vladimir Levin and published by . This book was released on 1988 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Optimality of Likelihood Ratio Tests in Exponential Families by : W. C. M. Kallenberg
Download or read book Asymptotic Optimality of Likelihood Ratio Tests in Exponential Families written by W. C. M. Kallenberg and published by . This book was released on 1978 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Efficiency and the Likelihood Ratio Conditional Test for Multinomial Distributions by : A. de Peresc
Download or read book Asymptotic Efficiency and the Likelihood Ratio Conditional Test for Multinomial Distributions written by A. de Peresc and published by . This book was released on 1974 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Multivariate Approach to Testing for Homogeneity of Correlated Propertions by : Barry Marc Katz
Download or read book A Multivariate Approach to Testing for Homogeneity of Correlated Propertions written by Barry Marc Katz and published by . This book was released on 1975 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotically Optimal Sequential Tests of Linear Hypotheses in Multiparameter Exponential Families by : Limin Zhang
Download or read book Asymptotically Optimal Sequential Tests of Linear Hypotheses in Multiparameter Exponential Families written by Limin Zhang and published by . This book was released on 1992 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inference Based on Divergence Measures by : Leandro Pardo
Download or read book Statistical Inference Based on Divergence Measures written by Leandro Pardo and published by CRC Press. This book was released on 2018-11-12 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this p
Book Synopsis On the Asymptotic Distribution of a Statistic Arising in Testing the Homogeneity of Two Samples by : Donato Michele Cifarelli
Download or read book On the Asymptotic Distribution of a Statistic Arising in Testing the Homogeneity of Two Samples written by Donato Michele Cifarelli and published by . This book was released on 1989 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book NBS Special Publication written by and published by . This book was released on 1970 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Encyclopedia of Statistical Sciences, Volume 3 by :
Download or read book Encyclopedia of Statistical Sciences, Volume 3 written by and published by John Wiley & Sons. This book was released on 2005-12-16 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENCYCLOPEDIA OF STATISTICAL SCIENCES
Book Synopsis Order Restricted Statistical Tests on Multinomial and Poisson Parameters by : Richard L. Dykstra
Download or read book Order Restricted Statistical Tests on Multinomial and Poisson Parameters written by Richard L. Dykstra and published by . This book was released on 1981 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Likelihood ratio statistics for (i) testing the homogeneity of a collection of multinomial parameters against the alternative which accounts for the restriction that those parameters are starshaped (cf. Shaked, Ann. Statist. (1979)), and for (ii) testing the null hypothesis that this parameter vector is starshaped are considered. For both tests the asymptotic distribution of the test statistic under the null hypothesis is a version of the chi-bar-square distribution. Analogous tests on a collection of Poisson means are also found to have asymptotic chi-bar-square distributions. (Author).
Book Synopsis Asymptotically Optimal Tests for Multivariate Normal Distributions by : David Guy Herr
Download or read book Asymptotically Optimal Tests for Multivariate Normal Distributions written by David Guy Herr and published by . This book was released on 1967* with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Efficiency of a Class of C-sample Tests by : Madan Lal Puri
Download or read book Asymptotic Efficiency of a Class of C-sample Tests written by Madan Lal Puri and published by . This book was released on 1962 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: A c-sample problem is considered by examining the 2-sample problem and generalizing the results obtained by other authors. The resulting L-test for testing the equality of c continuous probaility distributions on the basis of c independent random samples is proposed. Under suitable regularity conditions and certain assumptions concerning the distribution function, the limiting distribution of L is derived. A number of well known tests are included; e.g. the KruskalWallis H-test, Terpestra's K-sample test, Fisher-Yates-Terry-Hoeffding normal score test, and Van der Waerden's 2-sample test. The asymptotic relative efficiencies in Pitman's sense are obtained and shown to be independent of the number of samples. (Author).
Book Synopsis Rates of Convergence for Estimation and Testing in Multinomial Distributions by : Kenneth Henry Sutrick
Download or read book Rates of Convergence for Estimation and Testing in Multinomial Distributions written by Kenneth Henry Sutrick and published by . This book was released on 1979 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis On Optimal Asymptotic Tests for Analysis of Categorical Data from Sample Surveys by : Avinash C. Singh
Download or read book On Optimal Asymptotic Tests for Analysis of Categorical Data from Sample Surveys written by Avinash C. Singh and published by . This book was released on 1985 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Therefore, whenever one is uncertain about stability of the estimated covariance matrix, use of the proposed method is recommended ; test statistics have exact x2 limiting distributions and therefore no adjustments are required ; it provides asymptotically optimal minimum x2 type estimates of model parameters ; the standard Pearson-Fisher's x2PF or Neyman's x2N which are optimal for simple random samples, are special cases of the proposed test. The method is illustrated first by analysing a simple random sample of 2x2x2 lizard data of Schoener (1968). Then an application to the logistic regression analysis of the October 1980 Canadian Labour Force Survey Data is given. Conclusions arrived by using the proposed procedure do confirm the findings of Kumar and Rao (1984) in an earlier analysis of the same data by Rao-Scott's adjusted x2 method.
Book Synopsis On Some Tests of Homogeneity of Variances by :
Download or read book On Some Tests of Homogeneity of Variances written by and published by . This book was released on 1965 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For testing the equality of c continuous probability distributions on the basis of c independent random samples, various non-parametric tests for dispersions are offered. These tests, include among others, the multi-sample analogues of the two-sample normal-scores test of dispersion and the tests considered by Ansari and Bradley, Klotz, Mood, and Siegel and Tukey. Under suitable regularity conditions, it is shown that these tests have limiting non-central chi-square distributions with c-1 d.f. The asymptotic relative efficiencies (in the Pitman sense) of these tests relative to one another and the F test, are obtained and are shown to be the same as for the two-sample problem. (Author).
Book Synopsis On Some Tests of Homogeneity of Variances by : Madan L. Puri
Download or read book On Some Tests of Homogeneity of Variances written by Madan L. Puri and published by . This book was released on 1965 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: For testing the equality of c continuous probability distributions on the basis of c independent random samples, various non-parametric tests for dispersions are offered. These tests, include among others, the multi-sample analogues of the two-sample normal-scores test of dispersion and the tests considered by Ansari and Bradley, Klotz, Mood, and Siegel and Tukey. Under suitable regularity conditions, it is shown that these tests have limiting non-central chi-square distributions with c-1 d.f. The asymptotic relative efficiencies (in the Pitman sense) of these tests relative to one another and the F test, are obtained and are shown to be the same as for the two-sample problem. (Author).
Book Synopsis Asymptotically Valid and Exact Permutation Tests by : Eun Yi Chung
Download or read book Asymptotically Valid and Exact Permutation Tests written by Eun Yi Chung and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Given independent samples from P and Q, two-sample permutation tests allow one to construct exact level tests when the null hypothesis is P = Q. On the other hand, when comparing or testing particular parameters [theta] of P and Q, such as their means or quantiles, the classical permutation tests need not be level [alpha], or even approximately level [alpha] in large samples. Under very weak assumptions, this dissertation provides general test procedures whereby the asymptotic validity of the permutation test holds even when the assumption of identical distribution is unknown, while retaining the exact rejection probability [alpha] in finite samples when the underlying distributions are identical. A quite general theory is possible based on a coupling construction, as well as a key contiguity argument for the multinomial and multivariate hypergeometric distributions. The mathematical and statistical foundations for understanding permutation tests are laid out. Based on these technical arguments, the ideas are broadly applicable and generalizations have been made to the k-sample problem of comparing general parameters, the two-sample U-statistics, and d-dimensional multivariate cases and multiple testing. In the U-statistics case, we consider the Wilcoxon statistic or some rank statistics where the parameter of interest is a function of the joint distribution [theta](P, Q) and not just a simple difference [theta](P) - [theta](Q). In multivariate case, we apply the modified Hotelling's T^2-statistic as well as tests based on the maximum of studentized absolute differences. In the latter case, we must employ a bootstrap prepivoting operation, which leads to a bootstrapping after permuting algorithm. Then, we apply these tests as a basis for testing multiple hypotheses simultaneously by invoking the closure method to control the Familywise Error Rate. Monte Carlo simulation studies illustrate how the classical permutation tests and the proposed new permutation tests perform under various scenarios of underlying distributions with small, moderate, and large samples. Lastly, we also present some economic empirical applications where the permutation tests are utilized for testing some parameters of the underlying distributions.