Nonparametric Statistics For Non Statisticians

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Nonparametric Statistics for Non-Statisticians

Gregory W. Corder,Dale I. Foreman
Nonparametric Statistics for Non Statisticians Book PDF

Author : Gregory W. Corder,Dale I. Foreman
Publisher : John Wiley & Sons
Page : 199 pages
File Size : 50,7 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.

Nonparametric Statistics

Gregory W. Corder,Dale I. Foreman
Nonparametric Statistics Book PDF

Author : Gregory W. Corder,Dale I. Foreman
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 44,7 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.

Nonparametric Statistics for Applied Research

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

Author : Jared A. Linebach,Brian P. Tesch,Lea M. Kovacsiss
Publisher : Springer Science & Business Media
Page : 408 pages
File Size : 53,7 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.

Nonparametric Statistical Methods

Myles Hollander,Douglas A. Wolfe,Eric Chicken
Nonparametric Statistical Methods Book PDF

Author : Myles Hollander,Douglas A. Wolfe,Eric Chicken
Publisher : John Wiley & Sons
Page : 978 pages
File Size : 51,8 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.

Statistical Research Methods

Roy Sabo,Edward Boone
Statistical Research Methods Book PDF

Author : Roy Sabo,Edward Boone
Publisher : Springer Science & Business Media
Page : 214 pages
File Size : 54,9 Mb
Release : 2013-10-22
Category : Medical
ISBN : 9781461487081

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Statistical Research Methods by Roy Sabo,Edward Boone Pdf

This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

Applied Nonparametric Statistical Methods

Peter Sprent,Nigel C. Smeeton
Applied Nonparametric Statistical Methods Book PDF

Author : Peter Sprent,Nigel C. Smeeton
Publisher : CRC Press
Page : 536 pages
File Size : 40,5 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

Nonparametric Statistical Inference

Jean Dickinson Gibbons,Subhabrata Chakraborti
Nonparametric Statistical Inference Book PDF

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 695 pages
File Size : 50,8 Mb
Release : 2020-12-21
Category : Mathematics
ISBN : 9781351616171

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Nonparametric Statistical Inference by Jean Dickinson Gibbons,Subhabrata Chakraborti Pdf

Praise for previous editions: "... a classic with a long history." – Statistical Papers "The fact that the first edition of this book was published in 1971 ... [is] testimony to the book’s success over a long period." – ISI Short Book Reviews "... one of the best books available for a theory course on nonparametric statistics. ... very well written and organized ... recommended for teachers and graduate students." – Biometrics "... There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics "... Useful to students and research workers ... a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical Association Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new references Nonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers.

Nonparametric Statistics for Health Care Research

Marjorie A. Pett
Nonparametric Statistics for Health Care Research Book PDF

Author : Marjorie A. Pett
Publisher : SAGE Publications
Page : 473 pages
File Size : 52,8 Mb
Release : 2015-06-29
Category : Social Science
ISBN : 9781483313092

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Nonparametric Statistics for Health Care Research by Marjorie A. Pett Pdf

What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research by Marjorie A. Pett was developed for such scenarios—research undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts, and how to present the results in table and text format.

Introduction to Statistics

Gottfried E. Noether
Introduction to Statistics Book PDF

Author : Gottfried E. Noether
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461209430

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Introduction to Statistics by Gottfried E. Noether Pdf

The introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety. Thus, an instructor who is willing to settle for some limited objectives will have a much better chance of success than an instructor who aims for a broad exposure to statistics. Many statisticians agree that the primary objective of the introductory statistics course is to introduce students to variability and uncertainty and how to cope with them when drawing inferences from observed data. Addi tionally, the introductory COurse should enable students to handle a limited number of useful statistical techniques. The present text, which is the successor to the author's Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem, which is both conceptually simpler and more realistic than the one-sample problem that customarily serves as the basis for the discussion of statistical inference.

Data Analysis with Small Samples and Non-normal Data

Carl F. Siebert,Darcy Clay Siebert
Data Analysis with Small Samples and Non normal Data Book PDF

Author : Carl F. Siebert,Darcy Clay Siebert
Publisher : Oxford University Press
Page : 241 pages
File Size : 42,8 Mb
Release : 2018
Category : Mathematics
ISBN : 9780199391493

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Data Analysis with Small Samples and Non-normal Data by Carl F. Siebert,Darcy Clay Siebert Pdf

Introduction to nonparametrics -- Analyzing single variables and single groups -- Comparing two or more independent groups -- Comparing two or more related groups -- Predicting with multiple independent variables -- Appendix -- Index

Nonparametric Statistics with Applications to Science and Engineering

Paul H. Kvam,Brani Vidakovic
Nonparametric Statistics with Applications to Science and Engineering Book PDF

Author : Paul H. Kvam,Brani Vidakovic
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 52,9 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.

A Parametric Approach to Nonparametric Statistics

Mayer Alvo,Philip L. H. Yu
A Parametric Approach to Nonparametric Statistics Book PDF

Author : Mayer Alvo,Philip L. H. Yu
Publisher : Springer
Page : 279 pages
File Size : 46,5 Mb
Release : 2018-10-12
Category : Mathematics
ISBN : 9783319941530

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A Parametric Approach to Nonparametric Statistics by Mayer Alvo,Philip L. H. Yu Pdf

This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter. This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields.

Nonparametric Statistics for the Behavioral Sciences

Sidney Siegel
Nonparametric Statistics for the Behavioral Sciences Book PDF

Author : Sidney Siegel
Publisher : McGraw-Hill Companies
Page : 344 pages
File Size : 52,8 Mb
Release : 1956
Category : Mathematics
ISBN : UOM:39015017299267

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Nonparametric Statistics for the Behavioral Sciences by Sidney Siegel Pdf

The use of statistical tests in research; Choosing an appropriate statistical test; The one-sample case; The case of two related samples; The case of two independent samples; The case of k related samples; The case of k independent samples; Measures of correlatin and their tests of significance.

Applied Nonparametric Statistics in Reliability

M. Luz Gámiz,K. B. Kulasekera,Nikolaos Limnios,Bo Henry Lindqvist
Applied Nonparametric Statistics in Reliability Book PDF

Author : M. Luz Gámiz,K. B. Kulasekera,Nikolaos Limnios,Bo Henry Lindqvist
Publisher : Springer Science & Business Media
Page : 230 pages
File Size : 49,7 Mb
Release : 2011-02-14
Category : Technology & Engineering
ISBN : 9780857291189

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Applied Nonparametric Statistics in Reliability by M. Luz Gámiz,K. B. Kulasekera,Nikolaos Limnios,Bo Henry Lindqvist Pdf

Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric analyses in reliability currently form an interesting area of study that has not yet been fully explored. Applied Nonparametric Statistics in Reliability is focused on the use of modern statistical methods for the estimation of dependability measures of reliability systems that operate under different conditions. The scope of the book includes: smooth estimation of the reliability function and hazard rate of non-repairable systems; study of stochastic processes for modelling the time evolution of systems when imperfect repairs are performed; nonparametric analysis of discrete and continuous time semi-Markov processes; isotonic regression analysis of the structure function of a reliability system, and lifetime regression analysis. Besides the explanation of the mathematical background, several numerical computations or simulations are presented as illustrative examples. The corresponding computer-based methods have been implemented using R and MATLAB®. A concrete modelling scheme is chosen for each practical situation and, in consequence, a nonparametric inference procedure is conducted. Applied Nonparametric Statistics in Reliability will serve the practical needs of scientists (statisticians and engineers) working on applied reliability subjects.

Statistics for Non-Statisticians

Birger Madsen
Statistics for Non Statisticians Book PDF

Author : Birger Madsen
Publisher : Springer Science & Business Media
Page : 172 pages
File Size : 43,8 Mb
Release : 2011-04-13
Category : Mathematics
ISBN : 9783642176562

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Statistics for Non-Statisticians by Birger Madsen Pdf

This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes. The book is untraditional, both with respect to the choice of topics and the presentation. The topics were determined by what is most useful for practical statistical work: even experienced statisticians will find new topics or new approaches to traditional topics. The presentation is as non-mathematical as possible. Mathematical formulae are presented only if they are necessary for calculations and/or add to readers’ understanding. A sample survey is developed as a realistic example throughout the book, and many further examples are presented, which also use data spreadsheets from a supplementary website.