Confidence intervals

著者

• Smithson, Michael

書誌事項

Confidence intervals

Michael Smithson

（Sage university papers series, . Quantitative applications in the social sciences ; no. 07-140）

Sage Publications, c2003

• : pbk

注記

Includes bibliographical references (p. 90-92)

内容説明・目次

内容説明

Smithson first introduces the basis of the confidence interval framework and then provides the criteria for "best" confidence intervals, along with the trade-offs between confidence and precision. Next, using a reader-friendly style with lots of worked out examples from various disciplines, he covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power.

目次

Ch 1 Introduction and Overview Ch 2 Confidence Statements and Interval Estimates Why Confidence Intervals? Ch 3 Central Confidence Intervals Central and Standardizable versus Noncentral Distributions Confidence Intervals Using the Central t and Normal Distributions Confidence Intervals Using the Central Chi-Square and F Distributions Transformation Principle Ch 4 Noncentral Confidence Intervals for Standardized Effect Sizes Noncentral Distributions Computing Noncentral Confidence Intervals Ch 5 Applications in Anova and Regression Fixed-Effects ANOVA Random-Effects ANOVA A Priori and Post-Hoc Contrasts Regression: Multiple, Partial, and Semi-Partial Correlations Effect-Size Statistics for MANOVA and Setwise Regression Confidence Interval for a Regression Coefficient Goodness of Fit Indices in Structural Equations Models Ch 6 Applications in Categorical Data Analysis Odds Ratio, Difference between Proportions and Relative Risk Chi-Square Confidence Intervals for One Variable Two-Way Contingency Tables Effects in Log-Linear and Logistic Regression Models Ch 7 Significance Tests and Power Analysis Significance Tests and Model Comparison Power and Precision Designing Studies Using Power Analysis and Confidence Intervals Confidence Intervals for Power Concluding Remarks References About the Author

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA60143178
• ISBN:
  • 076192499X
• LCCN: 2002009707
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Thousand Oaks
• ページ数/冊数: vi, 93 p.
• 大きさ: 22 cm
• 親書誌ID:
  • BA00656709