Nonparametric Statistical Methods And Related Topics

Author : Michael G. Akritas,S. N. Lahiri,Dimitris N. Politis
Publisher : Springer
Page : 369 pages
File Size : 49,5 Mb
Release : 2014-12-02
Category : Mathematics
ISBN : 9781493905690

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Topics in Nonparametric Statistics by Michael G. Akritas,S. N. Lahiri,Dimitris N. Politis Pdf

This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N. Lahiri and D.N. Politis are the first executive committee members of ISNPS and the editors of this volume. ISNPS has a distinguished Advisory Committee that includes Professors R.Beran, P.Bickel, R. Carroll, D. Cook, P. Hall, R. Johnson, B. Lindsay, E. Parzen, P. Robinson, M. Rosenblatt, G. Roussas, T. SubbaRao and G. Wahba. The Charting Committee of ISNPS consists of more than 50 prominent researchers from all over the world. The chapters in this volume bring forth recent advances and trends in several areas of nonparametric statistics. In this way, the volume facilitates the exchange of research ideas, promotes collaboration among researchers from all over the world and contributes to the further development of the field. The conference program included over 250 talks, including special invited talks, plenary talks and contributed talks on all areas of nonparametric statistics. Out of these talks, some of the most pertinent ones have been refereed and developed into chapters that share both research and developments in the field.

Author : Myles Hollander,Douglas A. Wolfe,Eric Chicken
Publisher : John Wiley & Sons
Page : 978 pages
File Size : 40,5 Mb
Release : 2013-11-25
Category : Mathematics
ISBN : 9781118553299

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Nonparametric Statistical Methods by Myles Hollander,Douglas A. Wolfe,Eric Chicken Pdf

Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.

Author : Francisco J. Samaniego,George G. Roussas,Jiming Jiang
Publisher : World Scientific
Page : 479 pages
File Size : 55,9 Mb
Release : 2011-09-16
Category : Mathematics
ISBN : 9789814366564

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Nonparametric Statistical Methods and Related Topics by Francisco J. Samaniego,George G. Roussas,Jiming Jiang Pdf

This volume consists of 22 research papers by leading researchers in Probability and Statistics. Many of the papers are focused on themes that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory. This volume presents state-of-the-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic theory. It will serve as a valuable reference to the statistics research community as well as to practitioners who utilize methodology in these areas of emphasis.

Author : Gregory W. Corder,Dale I. Foreman
Publisher : John Wiley & Sons
Page : 199 pages
File Size : 46,8 Mb
Release : 2011-09-20
Category : Mathematics
ISBN : 9781118211250

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Nonparametric Statistics for Non-Statisticians by Gregory W. Corder,Dale I. Foreman Pdf

A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences. Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS® screen captures are used to demonstrate how to perform and recognize the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed rank test to compare two related samples Apply the Mann-Whitney U test to compare two unrelated samples Compare more than two related samples using the Friedman test Employ the Kruskal-Wallis H test to compare more than two unrelated samples Compare variables of ordinal or dichotomous scales Test for nominal scale data A detailed appendix provides guidance on inputting and analyzing the presented data using SPSS®, and supplemental tables of critical values are provided. In addition, the book's FTP site houses supplemental data sets and solutions for further practice. Extensively classroom tested, Nonparametric Statistics for Non-Statisticians is an ideal book for courses on nonparametric statistics at the upper-undergraduate and graduate levels. It is also an excellent reference for professionals and researchers in the social, behavioral, and health sciences who seek a review of nonparametric methods and relevant applications.

Author : Peter Sprent,Nigel C. Smeeton
Publisher : CRC Press
Page : 536 pages
File Size : 52,6 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439894019

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Applied Nonparametric Statistical Methods by Peter Sprent,Nigel C. Smeeton Pdf

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some

Author : Myles Hollander,Douglas A. Wolfe
Publisher : Wiley-Interscience
Page : 503 pages
File Size : 53,7 Mb
Release : 2013-06-03
Category : Mathematics
ISBN : 111862548X

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Nonparametric Statistical Methods by Myles Hollander,Douglas A. Wolfe Pdf

Preliminares; The dichotomous data problem; A binomial test; an estimator for the probability of success; A confidence internal for the probability of success; The one-sample location problem; A distrbution-Free signed rank test; An estimator associated with wilcoxon's signed rank statistic.

Author : J Jiang,G G Roussas,F J Samaniego
Publisher : World Scientific
Page : 480 pages
File Size : 54,8 Mb
Release : 2011-09-16
Category : Mathematics
ISBN : 9789814458177

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Nonparametric Statistical Methods and Related Topics by J Jiang,G G Roussas,F J Samaniego Pdf

This volume consists of 22 research papers by leading researchers in Probability and Statistics. Many of the papers are focused on themes that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory. This volume presents state-of-the-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic theory. It will serve as a valuable reference to the statistics research community as well as to practitioners who utilize methodology in these areas of emphasis. Contents:Review Papers:On the Scholarly Work of P K Bhattacharya (P Hall & F J Samaniego)The Propensity Score and Its Role in Causal Inference (C Drake & T Loux)Recent Tests for Symmetry with Multivariate and Structured Data: A Review (S G Meintanis & J Ngatchou-Wandji)Papers on General Nonparametric Inference:On Robust Versions of Classical Tests with Dependent Data (J Jiang)Density Estimation by Sampling from Stationary Continuous Time Parameter Associated Processes (G G Roussas & D Bhattacharya)A Short Proof of the Feigin–Tweedie Theorem on the Existence of the Mean Functional of a Dirichlet Process (J Sethuraman)Max–Min Bernstein Polynomial Estimation of a Discontinuity in Distribution (K-S Song)U-Statistics Based on Higher-Order Spacings (D D Tung & S R Jammalamadaka)Nonparametric Models for Non-Gaussian Longitudinal Data (N Zhang, H-G Müller and J-L Wang)Papers on Aspects of Linear or Generalized Linear Models:Better Residuals (R Beran)The Use of Peters–Belson Regression in Legal Cases (E Bura, J L Gastwirth & H Hikawa)On a Hybrid Approach to Parametric and Nonparametric Regression (P Burman & P Chaudhuri)Nonparametric Regression Models with Integrated Covariates (Z Cai)A Dynamic Test for Misspecification of a Linear Model (M P McAssey & F Hsieh) Component Decomposition of the Basic Martingale (W Stute)Papers on Time Series Analysis:moothing Using Blockwise Least Squares Fitting (A Aue & T C M Lee)Some Recent Advances in Semiparametric Estimation of the GARCH Model (J Di & A Gangopadhyay)Extreme Dependence in Multivariate Time Series: A Review (R Sen & Z Tan)Dynamic Mixed Models for Irregularly Observed Water Quality Data (R H Shumway)Papers on Asymptotic Theory:Asymptotic Behavior of the Kernel Density Estimators for Nonstationary Dependent Random Variables with Binned Data (J-F Lenain, M Harel & M L Puri)Convergence Rates of an Improved Isotonic Regression Estimator (H Mukerjee)Asymptotic Distribution of the Smallest Eigenvalue of Wishart(N,n) When N,n → ∞ Such That N/n → 0 (D Paul)Curriculum Vitae:Curriculum Vitae of Prodyot K Bhattacharya Readership: Graduate students and researchers in nonparametric statistics and stochastic analysis. Keywords:Nonparametric Inference;Nonparametric Curve Fitting;Regression Analysis;Bayesian Nonparametrics;Change Point Problems;Asymptotic Theory;Stochastic ProcessesKey Features:New research in key areas of interest for statistical researchers and practitionersContributions by prominent statisticiansReview articles on the research contributions of P K Bhattacharya, on the area of causal inference and on nonparametric tests for symmetry

Author : Graysen Cline
Publisher : Scientific e-Resources
Page : 336 pages
File Size : 43,6 Mb
Release : 2019-05-19
Category : Electronic
ISBN : 9781839473258

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Nonparametric Statistical Methods Using R by Graysen Cline Pdf

Nonparametric Statistical Methods Using R covers customary nonparametric methods and rank-based examinations, including estimation and deduction for models running from straightforward area models to general direct and nonlinear models for uncorrelated and corresponded reactions. The creators underscore applications and measurable calculation. They represent the methods with numerous genuine and mimicked information cases utilizing R, including the bundles Rfit and npsm. The book initially gives a diagram of the R dialect and essential factual ideas previously examining nonparametrics. It presents rank-based methods for one-and two-example issues, strategies for relapse models, calculation for general settled impacts ANOVA and ANCOVA models, and time-to-occasion examinations. The last two parts cover further developed material, including high breakdown fits for general relapse models and rank-based surmising for bunch associated information. The book can be utilized as an essential content or supplement in a course on connected nonparametric or hearty strategies and as a source of perspective for scientists who need to execute nonparametric and rank-based methods by and by. Through various illustrations, it demonstrates to perusers proper methodologies to apply these methods utilizing R.

Author : Gregory W. Corder,Dale I. Foreman
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 48,6 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9781118840313

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Nonparametric Statistics by Gregory W. Corder,Dale I. Foreman Pdf

“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.

Author : Madan Lal Puri
Publisher : Walter de Gruyter
Page : 804 pages
File Size : 45,5 Mb
Release : 2013-02-06
Category : Mathematics
ISBN : 9783110917819

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Nonparametric Methods in Statistics and Related Topics by Madan Lal Puri Pdf

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.

Author : John Kloke,Joseph McKean
Publisher : CRC Press
Page : 466 pages
File Size : 46,9 Mb
Release : 2024-05-20
Category : Mathematics
ISBN : 9781040025154

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Nonparametric Statistical Methods Using R by John Kloke,Joseph McKean Pdf

Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.” -The American Statistician This thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition. Key Features: Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type. Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate. Numerous examples illustrate the methods and their computation. R packages are available for computation and datasets. Contains two completely new chapters on big data and multivariate analysis. The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice.

Author : Paul H. Kvam,Brani Vidakovic
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 48,9 Mb
Release : 2007-08-24
Category : Mathematics
ISBN : 0470168692

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Nonparametric Statistics with Applications to Science and Engineering by Paul H. Kvam,Brani Vidakovic Pdf

A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provided throughout the book. Complete with exercise sets, chapter reviews, and a related Web site that features downloadable MATLAB applications, this book is an essential textbook for graduate courses in engineering and the physical sciences and also serves as a valuable reference for researchers who seek a more comprehensive understanding of modern nonparametric statistical methods.

Author : A. K. Md. Ehsanes Saleh
Publisher : Amsterdam : North-Holland ; New York : Distributors for the U.S. and Canada, Elsevier Science Publishing Company
Page : 456 pages
File Size : 48,9 Mb
Release : 1992
Category : Mathematics
ISBN : UCAL:B4406673

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Nonparametric Statistics and Related Topics by A. K. Md. Ehsanes Saleh Pdf

Significant developments have taken place during the last thirty years in the field of nonparametric statistics and related topics. These developments and future directions are discussed in this book. Some of the developments focussed on include: robust statistics; rank estimation; bootstrap techniques; regression quantiles; strong approximation of quantile processes; and a preliminary test approach to estimation (combining robust statistics and shrinkage estimation).This volume is dedicated to the memory of Professor Wassily Hoeffding, a pioneer in the field of nonparametric statistics.

Author : Anonim
Publisher : Unknown
Page : 434 pages
File Size : 42,9 Mb
Release : 1992
Category : Mathematical statistics
ISBN : OCLC:636914604

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Nonparametric Statistics and Related Topics by Anonim Pdf

Author : Jared A. Linebach,Brian P. Tesch,Lea M. Kovacsiss
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 40,9 Mb
Release : 2013-11-19
Category : Mathematics
ISBN : 9781461490418

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Nonparametric Statistics for Applied Research by Jared A. Linebach,Brian P. Tesch,Lea M. Kovacsiss Pdf

​​Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine. This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text. The “real world” scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concrete and specific language. This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.