Nonparametric Statistical Methods

Wiley Series in Probability and Statistics

Book 751
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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. 
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About the author

MYLES HOLLANDER is Robert O. Lawton Distinguished Professor of Statistics and Professor Emeritus at the Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the Journal of the American Statistical Association, 1993–96, and he received the Gottfried E. Noether Senior Scholar Award from the American Statistical Association in 2003.

DOUGLAS A. WOLFE is Professor and Chair Emeritus in the Department of Statistics at Ohio State University in Columbus. He is a two-time recipient of the Ohio State University Alumni Distinguished Teaching Award, in 1973–74 and 1988–89.

ERIC CHICKEN is Associate Professor at the Florida State University in Tallahassee. He is active in modern nonparametric statistics research fields, including functional analysis, sequential methods, and complex system applications.

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Additional Information

John Wiley & Sons
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Published on
Nov 25, 2013
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Mathematics / Applied
Mathematics / Probability & Statistics / Bayesian Analysis
Mathematics / Probability & Statistics / Regression Analysis
Mathematics / Probability & Statistics / Stochastic Processes
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Samprit Chatterjee
Praise for the Fourth Edition:

"This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."

—Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.

The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including:

Surrogate ridge regression Fitting nonlinear models Errors in variables ANOVA for designed experiments

Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.

Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.

Book 130
The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.

Currently available in the Series:

T. W. Anderson The Statistical Analysis of Time Series T. S. Arthanari & Yadolah Dodge Mathematical Programming in Statistics Emil Artin Geometric Algebra Norman T. J. Bailey The Elements of Stochastic Processeswith Applications to the Natural Sciences Robert G. Bartle The Elements of Integration and Lebesgue Measure George E. P. Box & Norman R. Draper Evolutionary Operation: A Statistical Method for Process Improvement George E. P. Box & George C. Tiao Bayesian Inference in Statistical Analysis R. W. Carter Finite Groups of Lie Type: Conjugacy Classes and Complex Characters R. W. Carter Simple Groups of Lie Type William G. Cochran & Gertrude M. Cox Experimental Designs, Second Edition Richard Courant Differential and Integral Calculus, Volume I Richard Courant Differential and Integral Calculus, Volume II Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume I Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume II D. R. Cox Planning of Experiments Harold S. M. Coxeter Introduction to Geometry, Second Edition Charles W. Curtis & Irving Reiner Representation Theory of Finite Groups andAssociative Algebras Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume I Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume II Cuthbert Daniel & Fred S. Wood Fitting Equations to Data: Computer Analysis of Multifactor Data, Second Edition Bruno de Finetti Theory of Probability, Volume I Bruno de Finetti Theory of Probability, Volume II Morris H. DeGroot Optimal Statistical Decisions W. Edwards Deming Sample Design in Business Research Amos de Shalit & Herman Feshbach Theoretical Nuclear Physics, Volume 1—Nuclear Structure Harold F. Dodge & Harry G. Romig Sampling Inspection Tables: Single and Double Sampling J. L. Doob Stochastic Processes
Douglas A. Wolfe
As millions of baby boomers retire and age in the coming years, more American families will confront difficult choices about the long-term care of their loved ones. The swelling ranks of the disabled and elderly who need such care—including home care, adult day care, or a nursing home stay—are faced with a strained, inequitable and expensive system. How will American society and policy adapt to this demographic transition? In Universal Coverage of Long-Term Care in the United States, editors Nancy Folbre and Douglas Wolf and an expert group of care researchers assess the current U.S. long-term care policies and exercise what can be learned from other countries facing similar care demands.

After the high-profile suspension of the Obama Administration’s public long-term insurance program in 2011, Robert Hudson and Howard Gleckman provide concrete suggestions for lowering the cost and improving the quality of long-term care coverage in America. In a deeply personal and empirically rigorous analysis, family care expert Carol Levine draws crucial lessons from her experience as a caregiver for her ailing husband. She sheds light on the often fraught interactions that occur between the formal care system and family caregivers and analyzes how public policy can best support long-term family care. The volume next examines recent reforms in other developed countries and finds valuable lessons for American policy-makers. Contributors David Bell and Alison Bowes discuss the provision of personal care services in Scotland, which have been publicly financed since 2002. Their analysis shows that the new program reduced costs improved efficiency and allowed more recipients to receive care. The volume assesses the political and institutional prospects for moving towards a truly universal long-term care system in the United States. Robyn Stone provides a sobering overview of the formal, paid long-term care workforce in America, which is in crisis due to increasing demand and a shortage of qualified workers. Economist Leonard Burman focuses on public finances of the long-term care system, which will come under increasing strain as more Americans rely on Medicaid to pay for their long-term care. In the volume’s concluding chapter, Folbre and Wolf summarize criticisms of existing long-term care policies and outline particular reforms that can move the United States toward a universal system of long-term care insurance.

Universal Coverage of Long-Term Care in the United States provides an essential resource on how to improve the long-term care sector in America and helps advance the national debate on this pressing topic. This volume is available for free download on the Foundation’s website, as are the volume’s individual chapters.

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