Applied regression analysis and other multivariable methods

• 作者： Kleinbaum, David G., author.
• 其他作者：
  • Kupper, Lawrence L., author.
  • Nizam, Azhar, author.
  • Rosenberg, Eli S., author.
• 出版： Boston, MA : Cengage Learning
• 版本：Fifth edition.
• 主題： Regression analysis. , Multivariate analysis. , Regression Analysis. , Factor Analysis, Statistical. , Multivariate Analysis.
• ISBN： 9781285051086 (hbk.): US$227.36 、 1285051084 (hbk.)
• 資料類型: 圖書
• 內容註: Includes bibliographical references and index. Concepts and examples of research -- Classification of variables and the choice of analysis -- Basic statistics : a review -- Introduction to regression analysis -- Straight-line regression analysis -- Correlation coefficient and straight-line regression analysis -- Analysis-of-variance table -- Multiple regression analysis : general considerations -- Statistical inference in multiple regression -- Correlations : multiple, partial, and multiple partial -- Confounding and interaction in regression -- Dummy variables in regression -- Analysis of covariance and other methods for adjusting continuous data -- Regression diagnostics -- Polynomial regression -- Selecting the best regression equation -- One-way analysis of variance -- Randomized blocks : special case of two-way ANOVA -- Two-way ANOVA with equal cell numbers -- Two-way ANOVA with unequal cell numbers -- Method of maximum likelihood -- Logistic regression analysis -- Polytomous and ordinal logistic regression -- Poisson regression analysis -- Analysis of correlated data part 1 : the general linear mixed method -- Analysis of correlated data part 2 : random effects and other issues -- Sample size planning for linear and logisitc regression and analysis of variance -- Appendix A. Tables -- Appendix B. Matrices and their relationship to regression analysis -- Appendix C. SAS computer appendix -- Appendix D. Answers to selected problems. Previous edition: 2008.
• More
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: