Applying Contemporary Statistical Techniques

This book PDF is perfect for those who love Mathematics genre, written by Rand R. Wilcox and published by Elsevier which was released on 16 January 2003 with total hardcover pages 608. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Applying Contemporary Statistical Techniques books below.

Applying Contemporary Statistical Techniques
Applying Contemporary Statistical Techniques
Author : Rand R. Wilcox
File Size : 48,6 Mb
Publisher : Elsevier
Language : English
Release Date : 16 January 2003
ISBN : 9780080527512
Pages : 608 pages
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Applying Contemporary Statistical Techniques by Rand R. Wilcox Book PDF Summary

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books

Applying Contemporary Statistical Techniques

Applying Contemporary Statistical Techniques by Rand R. Wilcox

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains

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