|Author:||Nigel C. Smeeton,Peter Sprent|
|Title:||Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)|
|Format:||docx lit lrf mobi|
|ePUB size:||1848 kb|
|FB2 size:||1750 kb|
|DJVU size:||1191 kb|
|Publisher:||Chapman and Hall/CRC; 3 edition (September 7, 2000)|
Applied Nonparametric Statistical Methods provides a very clear exposition of modern nonparametric methods. Many students and practitioners will find it an excellent resource and reference for nonparametric statistics. It aims at promoting understanding as well. Good statistical practice is exemplified throughout Particularly commendable are their discussions of multiple comparisons and conditioning in the two by two contingency table If I could only have one book on nonparametric methods, this would be my choice. It is highly recommended. Series: Chapman & Hall/CRC Texts in Statistical Science. Paperback: 480 pages.
Author: Nigel C. Smeeton, Peter Sprent.
Chapman & Hall/CRC Texts in Statistical Science.
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. Download from free file storage.
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