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:
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.
The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function.
Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements.
"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.
This work is in the Wiley-Dunod Series co-published between Dunod (www.dunod.com) and John Wiley and Sons, Ltd.
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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.