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Nonparametric Statistics

Nonparametric Statistics Author Gregory W. Corder
ISBN-10 9781118840429
Release 2014-04-14
Pages 288
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“…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 Non Statisticians

Nonparametric Statistics for Non Statisticians Author Gregory W. Corder
ISBN-10 9781118211250
Release 2011-09-20
Pages 264
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Nonparametric Statistics for Non Statisticians has been writing in one form or another for most of life. You can find so many inspiration from Nonparametric Statistics for Non Statisticians also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Nonparametric Statistics for Non Statisticians book for free.



Elementary Statistics

Elementary Statistics Author Allan Bluman
ISBN-10 9780077665807
Release 2014-01-03
Pages 896
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Elementary Statistics: A Step By Step Approach is for introductory statistics courses with a basic algebra prerequisite. The text follows a nontheoretical approach, explaining concepts intuitively and supporting them with abundant examples. In recent editions, Al Bluman has placed more emphasis on conceptual understanding and understanding results, which is also reflected in the online homework environment, Connect Math Hosted by ALEKS. Additionally step-by step instructions on how to utilize the TI-84 Plus graphing calculator, Excel, and Minitab, have also been updated to reflect the most recent editions of each technology.



Elementary statistics

Elementary statistics Author Allan G. Bluman
ISBN-10 0072549149
Release 2004
Pages 1
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Elementary statistics has been writing in one form or another for most of life. You can find so many inspiration from Elementary statistics also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Elementary statistics book for free.



Data Analysis in Business Research

Data Analysis in Business Research Author D Israel
ISBN-10 9788132100935
Release 2009-01-14
Pages 320
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While there are books focusing on parametric tests, the domain of nonparametric tests is mostly unexplored. Data Analysis in Business Research: A Step by Step Nonparametric Approach brings under one umbrella all the major nonparametric statistical tools that can be used by undergraduate and postgraduate students of all disciplines, especially students of Research Methods in Social Sciences and Management Studies, in their dissertation work. Students face difficulty in analyzing data collected from small samples; they end up reporting mere percentage analysis which results in the loss of information collected. Hence there is a need to create awareness among students and researchers about the application of major nonparametric tools that can be applied confidently without worrying about sample size, scale of measurement, normality assumptions or other parameters of that nature. The lucid presentation of the step-by-step procedures, explaining in simple English how to perform each of the major nonparametric tests, is a major attraction of the book. The book, which also has a comprehensive question bank, assumes minimal or little knowledge of statistics on the part of the reader. This book will also be informative for Marketing Research professionals and organisations, consultancies and organisations of economic research.



Elementary Statistics A Step By Step Approach

Elementary Statistics  A Step By Step Approach Author CTI Reviews
ISBN-10 9781497044579
Release 2016-09-26
Pages 40
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Facts101 is your complete guide to Elementary Statistics, A Step By Step Approach. In this book, you will learn topics such as Data Description, Probability and Counting Rules, Discrete Probability Distributions, and The Normal Distribution plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.



Statistics for Business Economics

Statistics for Business   Economics Author David R. Anderson
ISBN-10 9781305856790
Release 2016-01-29
Pages 1120
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Drawing from the authors’ unmatched experience as professors and consultants, STATISTICS FOR BUSINESS AND ECONOMICS, 13E delivers sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in actual business practice. Completely up to date, more than 350 real business examples, 33 cases, and hands-on exercises present the latest statistical data and business information with unwavering accuracy. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Statistics for Business Economics Revised

Statistics for Business   Economics  Revised Author David R. Anderson
ISBN-10 9781337516716
Release 2017-02-21
Pages 50
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Get more out of learning statistics than simply the ability to solve equations. Discover how statistical information enables strong decisions in today’s business world with STATISTICS FOR BUSINESS AND ECONOMICS, REVISED 13E. Sound methodology combines with a proven problem-scenario approach, and meaningful applications for the most powerful approach to mastering critical statistical concepts. This edition’s prestigious author team brings together more than 25 years of unmatched experience to this thoroughly updated book. More than 350 real business examples, timely cases, and memorable exercises present the latest statistical data and business information with unwavering accuracy. To ensure the most relevant coverage, this edition introduces how to use today’s most popular commercial statistical software programs, including Minitab 17 and Excel 2016. Trust this edition for the statistics background needed for business success. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Essentials of Statistics for Business and Economics

Essentials of Statistics for Business and Economics Author David R. Anderson
ISBN-10 9781337114172
Release 2017-03-14
Pages 50
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Trust the market-leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 8E to introduce sound statistical methodology using real-world examples, proven approaches, and hands-on exercises that build the foundation readers need to analyze and solve business problems quantitatively. This edition gives readers the foundation in statistics needed for an edge in today's competitive business world. The authors’ signature problem-scenario approach and reader-friendly writing style combines with proven methodologies, hands-on exercises, and real examples to take readers deep into today’s actual business problems. Readers learn how to solve problems from an intelligent, quantitative perspective. Streamlined to focus on core topics, this new edition provides the latest updates with new case problems, applications, and self-test exercises to help readers master key formulas and apply statistical methods as they learn them. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Nonparametric Methods in Statistics with SAS Applications

Nonparametric Methods in Statistics with SAS Applications Author Olga Korosteleva
ISBN-10 9781466580633
Release 2013-08-19
Pages 195
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Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as binary logistic and Poisson models. The author also describes time-to-event nonparametric estimation methods, such as the Kaplan-Meier survival curve and Cox proportional hazards model, and presents histogram and kernel density estimation methods. The book concludes with the basics of jackknife and bootstrap interval estimation. Drawing on data sets from the author’s many consulting projects, this classroom-tested book includes various examples from psychology, education, clinical trials, and other areas. It also presents a set of exercises at the end of each chapter. All examples and exercises require the use of SAS 9.3 software. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the author’s website.



Taking the Fear Out of Data Analysis

Taking the Fear Out of Data Analysis Author Adamantios Diamantopoulos
ISBN-10 1861524307
Release 1997
Pages 231
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This work guides the reader through the process of data analysis and features hints and warnings. It should be of interest to those studying quantitative methods in all disciplines, in particular marketing, management, economics and psychology.



Vital statistics E Book

Vital statistics   E Book Author Stephen McKenzie
ISBN-10 9780729581493
Release 2014-03-18
Pages 244
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Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.



Nonparametric statistics

Nonparametric statistics Author Richard P. Runyon
ISBN-10 UOM:39015015729752
Release 1977
Pages 218
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Nonparametric statistics has been writing in one form or another for most of life. You can find so many inspiration from Nonparametric statistics also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Nonparametric statistics book for free.



Mass Communications Research Methods

Mass Communications Research Methods Author H.J. Hsia
ISBN-10 9781317357179
Release 2015-10-23
Pages 642
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Originally published in 1988. Step-by-step, this book leads students from problem identification, through the mazes of surveys, experimentation, historical/qualitative studies, statistical analysis, and computer data processing to the final submission and publication in scientific or popular publications.



Nonparametric Statistics with Applications to Science and Engineering

Nonparametric Statistics with Applications to Science and Engineering Author Paul H. Kvam
ISBN-10 0470168692
Release 2007-08-24
Pages 448
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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.



Introduction to Nonparametric Regression

Introduction to Nonparametric Regression Author K. Takezawa
ISBN-10 9780471771449
Release 2005-12-02
Pages 640
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An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: * Thorough explanations of various techniques, which avoid complex mathematics and excessive abstract theory to help readers intuitively grasp the value of nonparametric regression methods * Statistical techniques accompanied by clear numerical examples that further assist readers in developing and implementing their own solutions * Mathematical equations that are accompanied by a clear explanation of how the equation was derived The first chapter leads with a compelling argument for studying nonparametric regression and sets the stage for more advanced discussions. In addition to covering standard topics, such as kernel and spline methods, the book provides in-depth coverage of the smoothing of histograms, a topic generally not covered in comparable texts. With a learning-by-doing approach, each topical chapter includes thorough S-Plus? examples that allow readers to duplicate the same results described in the chapter. A separate appendix is devoted to the conversion of S-Plus objects to R objects. In addition, each chapter ends with a set of problems that test readers' grasp of key concepts and techniques and also prepares them for more advanced topics. This book is recommended as a textbook for undergraduate and graduate courses in nonparametric regression. Only a basic knowledge of linear algebra and statistics is required. In addition, this is an excellent resource for researchers and engineers in such fields as pattern recognition, speech understanding, and data mining. Practitioners who rely on nonparametric regression for analyzing data in the physical, biological, and social sciences, as well as in finance and economics, will find this an unparalleled resource.



Nonparametric Statistical Methods For Complete and Censored Data

Nonparametric Statistical Methods For Complete and Censored Data Author M.M. Desu
ISBN-10 1584883197
Release 2003-09-29
Pages 384
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Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the general theory of statistical inference and introduce the concepts intuitively for students with minimal backgrounds. Derivations and mathematical details are relegated to appendices at the end of each chapter, which allows students to easily proceed through each chapter without becoming bogged down in a lot of mathematics. In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included. Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate-level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists. Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics.