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Applying contemporary statistical te...
~
Wilcox, Rand R.
Applying contemporary statistical techniques[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
519.5
書名/作者:
Applying contemporary statistical techniques/ Rand 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.
標題:
Statistiques.
標題:
Statistische methoden.
標題:
Instru�c�ao programada.
標題:
Estat�istica.
ISBN:
9780127515410
ISBN:
0127515410
書目註:
Includes bibliographical references and index.
內容註:
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.
摘要、提要註:
Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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.
電子資源:
http://www.sciencedirect.com/science/book/9780127515410
Applying contemporary statistical techniques[electronic resource] /
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:
145349
Statistics.
Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: QA276 / .W477 2003eb
Dewey Class. No.: 519.5
Applying contemporary statistical techniques[electronic resource] /
LDR
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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.
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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
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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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