<p>This book is a practical introduction to statistical techniques called nonparaΒ metric methods. Using examples, we explain assumptions and demonstrate procedures; theory is kept to a minimum. We show how basic problems are tackled and try to clear up common misapprehensions so as to help both stu
Applied nonparametric statistical methods
β Scribed by Peter Sprent, Nigel C. Smeeton
- Publisher
- CRC
- Year
- 2000
- Tongue
- English
- Leaves
- 463
- Series
- Chapman & Hall/CRC Texts in Statistical Science
- Edition
- 3ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical software.The book takes into account computing developments since the publication of the popular Second Edition, rearranging the material in a more logical order, and introducing new topics. It emphasizes better use of significance tests and focuses greater attention on medical and dental applications. Applied Nonparametric Statistical Methods: Third Edition explains the rationale of procedures with a minimum of mathematical detail, making it not only an outstanding textbook, but also an up-to-date reference for professionals who do their own statistical analyses.New in the Third Edition:oExpanded coverage of topics - such as ethical considerations and calculation of power and of sample sizes neededoRefers to a wide variety of statistical packages - such as StatXact, Minitab, Testimate, S-plus, Stata, and SPSSoIncludes sections on the analysis of angular data, the use of capture-recapture methods, the measurement of agreement between observers, runs tests, and regression diagnostics.
π SIMILAR VOLUMES
Although it has been substantially updated and revised, this newedition follows the same easy-to-read pattern of the first edition. The introductory material on estimation and hypothesis testing has been rewritten to highlight modern approaches as well giving timely warning against potential misuse.
This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of mo
While preserving the clear, accessible style of previous editions, <STRONG>Applied Nonparametric Statistical Methods, Fourth Edition </STRONG>reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. <BR><BR>Reorganized and
Hypotheses Testing for Two Samples Sign Test for Location Parameter for Matched Paired Samples Wilcoxon Signed-Rank Test for Location Parameter for Matched Paired Samples Wilcoxon Rank-Sum Test for Location Parameter for Two Independent Samples Ansari-Bradley Test for Scale Parameter for Two Indep
"This Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its predecessor, the revised edition, along with its companion ftp