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Applying contemporary statistical te...

Wilcox, Rand R.

Applying contemporary statistical techniques

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applying contemporary statistical techniquesRand R. Wilcox.
作者:	Wilcox, Rand R.
出版者:	Amsterdam ;Academic Press,c2003.
面頁冊數:	1 online resource (1 v. (various pagings)) :ill.
標題:	Statistics.
電子資源:	http://www.sciencedirect.com/science/book/9780127515410
ISBN:	9780127515410

Applying contemporary statistical techniques
Wilcox, Rand R.

Applying contemporary statistical techniques[electronic resource] /Rand R. Wilcox. - Amsterdam ;Academic Press,c2003. - 1 online resource (1 v. (various pagings)) :ill.

Includes bibliographical references and index.

Introduction; Probability and Related Concepts; Summarizing Data; Sampling Distributions and Confidence Intervals; Hypothesis Testing; Least Squares Regression and Pearson's Correlation; Basic Bootstrap Methods; Comparing Two Independent Groups; One-Way Anova; Two-Way Anova; Comparing Dependent Groups; Multiple Comparisons; Detecting Outliers in Multivariate Data; More Regression Methods; Rank-Based and Nonparametric Methods.

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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.

ISBN: 9780127515410

Source: 89579:89579Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

182057
Statistics.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA276 / .W477 2003eb

Dewey Class. No.: 519.5

Applying contemporary statistical techniques
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245 1 0 $a Applying contemporary statistical techniques $h [electronic resource] / $c Rand R. Wilcox.
260 $a Amsterdam ; $a Boston : $b Academic Press, $c c2003.
300 $a 1 online resource (1 v. (various pagings)) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Introduction; Probability and Related Concepts; Summarizing Data; Sampling Distributions and Confidence Intervals; Hypothesis Testing; Least Squares Regression and Pearson's Correlation; Basic Bootstrap Methods; Comparing Two Independent Groups; One-Way Anova; Two-Way Anova; Comparing Dependent Groups; Multiple Comparisons; Detecting Outliers in Multivariate Data; More Regression Methods; Rank-Based and Nonparametric Methods.
505 0 $a 1. Introduction -- 2. Probability and related concepts -- 3. Summarizing data -- 4. Sampling distributions and confidence intervals -- 5. Hypothesis testing -- 6. Least squares regression and Pearson's correlation -- 7. Basic bootstrap methods -- 8. Comparing two independent groups -- 9. One-way ANOVA -- 10. Two-way ANOVA -- 11. Comparing dependent groups -- 12. Multiple comparisons -- 13. Robust and exploratory regression -- 14. More regression methods -- 15. Rank-based and nonparametric methods.
520 $a 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.
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856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780127515410
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