Statistics for Research (Wiley Series in Probability and Statistics) - Hardcover

Dowdy, Shirley; Wearden, Stanley

Hardcover

ISBN 10: 0471857033 ISBN 13: 9780471857037

Publisher: Wiley–Blackwell, 1991

Synopsis

Statistics for Experimenters An Introduction to Design, Data Analysis, and Model Building George E. P. Box, William G. Hunter, and J. Stuart Hunter "The authors are to be congratulated for having written an excellent book. The writing is literate, and the technical aspects impeccable." —Journal of Quality Technology Demonstrates the design of highly efficient statistical and engineering programs using a special applied approach. Covers hypothesis tests, confidence intervals, comparison of means, t tests, and more. Includes many examples, illustrations, and exercises (with answers) throughout. Advanced topics of special interest are detailed in readily understood language. 1978 (0 471–09315–7) 653 pp. Computer–Intensive Methods for Testing Hypotheses An Introduction Eric W. Noreen Designed to provide a basic understanding of computer–intensive methods and their widespread applications, this book offers computer–intensive alternatives to virtually every conventional parametric and nonparametric test. Assuming no more than a working knowledge of BASIC, PASCAL or FORTRAN, this work explores how computer–intensive methods can be easily incorporated into your work. The short, simple, and extremely flexible programs discussed here may be used as templates with only minor modification. 1989 (0 471–61136–0) 229 pp. Categorical Data Analysis Alan Agresti Chronicling the historical development of methods for analyzing categorical data, this text enables practicing statisticians to catch up with recent advances and to perform analyses. There is a strong emphasis on statistical computer packages such as SAS, SPPS, BMDP, and GLIM. Modern methods for ordinal data, longitudinal data, and generalized linear models are explained, and more than 40 examples of analyses of real data sets are offered. Coverage includes: models for categorical (or continuous) responses as special cases of generalized linear models; methods for repeated measurement data; outlined derivations of basic asymptotic and fixed–sample–size inferences; discussion of exact small–sample procedures; and prescriptions for treating ordinal variables differently than nominal variables. 1990 (0 471–85301–1) 558 pp.

About this title

About the Author

About the authors SHIRLEY DOWDY is Associate Dean of the College of Arts and Sciences and Associate Professor of Statistics at West Virginia University, where she has been since 1971. She is the author of Statistical Experiments Using BASIC, Mathematics: Art and Science (Wiley), and Geometry for Teachers with G. Y. Rainich (Wiley). Dr. Dowdy received her PhD in mathematics from the University of Notre Dame in 1964. STANLEY WEARDEN is Professor of Statistics at West Virginia University, where he has been since 1969. He was Fulbright Professor of Statistics at the University of the West Indies and previously served for four years as Chairman of the Department of Statistics and Computer Science at W.V.U. Among his many honors and offices are the Biometric Society, American Statistical Association, Phi Mu Epsilon and Gamma Sigma Delta. Dr. Wearden earned his PhD in population genetics from Cornell University in 1957.

From the Inside Flap

Praise for the first edition "Overall, I found this book to be carefully thought–out and attractive. I believe it will satisfy the objective that the authors have set; namely, to give beginning graduate students a good idea of the necessity for statistics in their research. It provides many of the tools they will need." Journal of Quality Technology "This book meets its stated goals and is readable. I find the use of examples to teach the material to be successful in maintaining the interest level of the reader and would recommend use of the text at the introductory level." American Scientist Statistics for Research, Second Edition presents the most commonly used statistical techniques in a clear, readable way which can be understood by someone with no previous statistical experience. This survey is written from the viewpoint of the researcher who wants to know how to carry out a procedure, how to interpret the results (whether the analysis is performed by hand or a statistical computer package), and who wants some intuitive understanding of why the procedure works. All procedures are explained in the context of realistic research situations and then summarized in general terms. The usefulness of statistics is illustrated throughout, beginning in the first chapter with inference. Probability and descriptive statistics are developed in the book as needed and do not appear as separate chapters as in most books. Interpretation of the computer output of statistical analyses and nonparametric procedures are integrated with the discussion of each statistical procedure. After a statistical procedure is explained and demonstrated, wherever it is practical to do so, the procedure is followed by demonstrations of how the SAS System is used for computer analysis of the same data. Similarly, each statistical process is followed by a nonparametrical analog to the procedure which has been under discussion. This revised edition has been expanded and contains numerous exercises after each section, over 90 figures, program statements and computer output for the SAS System, bibliographies at the end of chapters, summaries of procedures, review exercises, answers to selected exercises and all review exercises, and 19 statistical tables.

Edition details

• Publisher: Wiley–Blackwell
• Publication date: 1991
• Language: English
• ISBN 10: 0471857033
• ISBN 13: 9780471857037
• Binding: Hardcover
• Edition number: 2
• Number of pages: 656