소장자료
LDR | 02377nam a22002535a 4500 | ||
001 | 0092272001▲ | ||
005 | 20180519150159▲ | ||
008 | 130724s2013 ctua 000 0 eng ▲ | ||
010 | ▼a2013946149▲ | ||
020 | ▼a9781285051086▲ | ||
040 | ▼aDLC▼beng▼erda▼cDLC▲ | ||
042 | ▼apcc▲ | ||
082 | 0 | 4 | ▼a519.53▼221▲ |
090 | ▼a519.53▼bK64a5▲ | ||
245 | 0 | 0 | ▼aApplied regression analysis and other multivariable methods /▼cedited by David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg, .▲ |
250 | ▼a5th ed.▲ | ||
260 | ▼aStamford, CT :▼bCengage Learning,▼c2013.▲ | ||
300 | ▼axix, 1051 p. :▼bill. ;▼c24 cm.▲ | ||
505 | 0 | ▼aConcepts and Examples of Research --Classification of Variables and the Choice of Analysis --Basic Statistics: A Review --Introduction to Regression Analysis --Straight-line Regression Analysis --The Correlation Coefficient and Straight-line Regression Analysis --The 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 --The Method of Maximum Likelihood --Logistic Regression Analysis --Polytomous and Ordinal Logistic Regression --Poisson Regression Analysis --Analysis of Correlated Date Part 1: The General Linear Mixed Method --Analysis of Correlated Date 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.▲ | |
520 | ▼aHelps you learn regression-analysis methods that you can apply to real-life problems. This title highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer.▲ | ||
650 | 0 | ▼aRegression analysis. ▲ | |
650 | 0 | ▼aMultivariate analysis. ▲ | |
700 | 1 | ▼aKleinbaum, David G.▲ | |
999 | ▼c정영주▲ |
Applied regression analysis and other multivariable methods
자료유형
국외단행본
서명/책임사항
Applied regression analysis and other multivariable methods / edited by David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg, .
판사항
5th ed.
발행사항
Stamford, CT : Cengage Learning , 2013.
형태사항
xix, 1051 p. : ill. ; 24 cm.
내용주기
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 --The Correlation Coefficient and Straight-line Regression Analysis --The 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 --The Method of Maximum Likelihood --Logistic Regression Analysis --Polytomous and Ordinal Logistic Regression --Poisson Regression Analysis --Analysis of Correlated Date Part 1: The General Linear Mixed Method --Analysis of Correlated Date 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.
요약주기
Helps you learn regression-analysis methods that you can apply to real-life problems. This title highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer.
ISBN
9781285051086
청구기호
519.53 K64a5
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