Download or read book Some Location scale Multivariate Multisample Nonparametric Tests written by Chi-chung Shen and published by . This book was released on 1986 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonparametric Methods in Multivariate Analysis written by Madan Lal Puri and published by . This book was released on 1971-01-15 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brief outline of the material covered in the book. Preliminaries. A survey of nonparametric inference. Rank tests for the multivariate single-sample location problems. Multivariate multisample rank tests for location and scale. Estimators in linear models (one way layouts) based on rank tests. Rank procedures in factorial experiments. Rank tests for independence. Rank tests for homogeneity of dispersion matrices.
Download or read book Multivariate Nonparametric Tests for Independence and for Multi Sample Location Problem written by Yonghwan Um and published by . This book was released on 1995 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonparametric Multivariate Multisample Tests of the Location Problem and Multivariate Regression Based on Directions of Data written by Kyungmee Choi and published by . This book was released on 1995 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Randles' one sample multivariate sign test based on interdirections is extended to two sample and multisample tests. A heuristic argument suggests that when samples are drawn from elliptically symmetric distributions all of these tests share the same asymptotic relative efficiency with respect to conventional parametric multivariate one, two and multisample tests, respectively, under normality. Next new nonparametric multivariate two sample and multisample tests are developed based on directions of differences between paired data, each member of a pair being from different samples. Then their asymptotic relative efficiencies with respect to Hotelling's $Tsp2$ and Wilks' $Lambda$ are calculated. The relationship of our statistics to Chaudhuri's location estimates based on U-statistics is discussed. Numerically evaluated asymptotic relative efficiencies and Monte Carlo simulation studies for the various distributions show that our tests are more powerful than Hotelling's $Tsp2$ and Wilks' $Lambda$ when samples are from heavy tailed distributions. They are also competitive among other nonparametric tests when samples are from light tailed distributions. We show that their power and level breakdown points are as good as those of the univariate sign test and Wilcoxon rank sum test. Finally we apply this method to extend Kendall's $tau$ to a multivariate setting and develop nonparametric multiple and multivariate regression techniques based on directions of data. Univariate and multivariate analysis of variance are considered as special cases of the regression problem with a fixed and balanced design matrix. As the dimension of the space where the explanatory variables take their values increases, the numerically evaluated asymptotic efficiency increases for each studied distribution. For independent random variables with values in a space of fixed dimension, its asymptotic relative efficiencies coincide with those of our location tests.
Download or read book A Smooth Nonparametric Multivariate Mixed Data Location Scale Test written by Jeffrey Racine and published by . This book was released on 2017 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: A number of tests have been proposed for assessing the location-scale assumption that is often invoked by practitioners. Existing approaches include Kolmogorov-Smirnov and Cramer-von-Mises statistics that each involve measures of divergence between unknown joint distribution functions and products of marginal distributions. In practice, the unknown distribution functions embedded in these statistics are approximated using non-smooth empirical distribution functions. We demonstrate how replacing the non-smooth distributions with their kernel-smoothed counter-parts can lead to substantial power improvements. In so doing we extend existing approaches to the smooth multivariate and mixed continuous and discrete data setting thereby extending the reach of existing approaches. Theoretical underpinnings are provided, Monte Carlo simulations are undertaken to assess finite-sample performance, and illustrative applications are provided.
Download or read book On a Class of Multivariate Multisample Rank Order Tests II written by Madan Lal Puri and published by Forgotten Books. This book was released on 2017-12-24 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt from On a Class of Multivariate Multisample Rank Order Tests II: Tests for Homogeneity of Dispersion Matrices In the parametric theory, the problem of testing homogeneity of dispersion matrices has nothing to do with the homogeneity of location parameters. However, in the nonparametric case the formulation of the hypothesis of invariance deems the identity of distributions, and this, in turn requires the homogeneity of location parameters. Thus we consider the following problems: (i) Tests for the homogeneity of dispersion matrices assuming the identity of location parameters. Some permutationally distribution free tests for this problem are considered here and their large sample properties are studied; (ii) Tests for the homogeneity of dispersion matrices without assuming the identity of location parameters. Here the basic permutation argument is not tenable, and only large sample properties are considered. Finally (iii) the problem of testing simultaneously the homogeneity of location parameters as well as the dispersion matrices is briefly discussed. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Download or read book Nonparametric Methods in Statistics and Related Topics written by Madan Lal Puri and published by Walter de Gruyter. This book was released on 2013-02-06 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Puri is one of the most versatile and prolific researchers in the world in mathematical statistics. His research areas include nonparametric statistics, order statistics, limit theory under mixing, time series, splines, tests of normality, generalized inverses of matrices and related topics, stochastic processes, statistics of directional data, random sets, and fuzzy sets and fuzzy measures. His fundamental contributions in developing new rank-based methods and precise evaluation of the standard procedures, asymptotic expansions of distributions of rank statistics, as well as large deviation results concerning them, span such areas as analysis of variance, analysis of covariance, multivariate analysis, and time series, to mention a few. His in-depth analysis has resulted in pioneering research contributions to prominent journals that have substantial impact on current research. This book together with the other two volumes (Volume 2: Probability Theory and Extreme Value Theory; Volume 3: Time Series, Fuzzy Analysis and Miscellaneous Topics), are a concerted effort to make his research works easily available to the research community. The sheer volume of the research output by him and his collaborators, coupled with the broad spectrum of the subject matters investigated, and the great number of outlets where the papers were published, attach special significance in making these works easily accessible. The papers selected for inclusion in this work have been classified into three volumes each consisting of several parts. All three volumes carry a final part consisting of the contents of the other two, as well as the complete list of Professor Puri's publications.
Download or read book Nonparametric Methods in Multivariate Analysis written by Madan Lal Puri and published by . This book was released on 1971 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonparametric Hypothesis Testing written by Stefano Bonnini and published by John Wiley & Sons. This book was released on 2014-07-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features: Examines the most widely used methodologies of nonparametric testing. Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies. Presents and discusses solutions to the most important and frequently encountered real problems in different fields. Features a supporting website (www.wiley.com/go/hypothesis_testing) containing all of the data sets examined in the book along with ready to use R software codes. Nonparametric Hypothesis Testing combines an up to date overview with useful practical guidance to applications in R, and will be a valuable resource for practitioners and researchers working in a wide range of scientific fields including engineering, biostatistics, psychology and medicine.
Download or read book A Smooth Nonparametric Multivariate Mixed data Location scale Test written by Jeffrey Scott Racine and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modern Nonparametric Robust and Multivariate Methods written by Klaus Nordhausen and published by Springer. This book was released on 2015-10-05 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.
Download or read book Nonparametric Tests for Complete Data written by Vilijandas Bagdonavicius and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
Download or read book On Some Nonparametric Tests for Location and Scale written by Wuu-Shyong Tsai and published by . This book was released on 1974 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonparametric Methods written by P. R. Krishnaiah and published by Elsevier Health Sciences. This book was released on 1984 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical developments. Linear models. Order statistics and empitical distribution. Estimation procedures. Stochastic aproximation and density estimation. Life testing and reliability. Miscellaneous topics. Applications. Tables.
Download or read book Permutation Tests written by Phillip Good and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to the application of permutation tests in biology, medicine, science, and engineering. The intuitive and informal style makes this manual ideally suitable for students and researchers approaching these methods for the first time. In particular, it shows how to handle the problems of missing and censored data, nonresponders, after-the-fact covariates, and outliers.
Download or read book Recent Advances and Trends in Nonparametric Statistics written by M.G. Akritas and published by Elsevier. This book was released on 2003-10-31 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods
Download or read book Time Series Analysis Methods and Applications written by Tata Subba Rao and published by Elsevier. This book was released on 2012-06-26 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Handbook of Statistics' is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with volume 30 dealing with time series.
