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書刊名： A practitioner's guide to resampling for data analysis, data mining, and modeling /good phillip i

作者： Good, Phillip I

出版社：

Boca Raton, FL : CRC Press, c2012

ISBN：

1439855501 (hardcover : alk. paper)9781439855508 (hardcover : alk. paper) : NT 2399

索書號： 519.54 G646-2

套書內容： 1. Wide Range of Applications: Resampling Methods ; Fields of Application -- 2. Estimation and the Bootstrap: Precision of an Estimate ; Confidence Intervals ; Improved Confidence Intervals ; Estimating Bias ; Determining Sample Size -- 3. Software for Use with the Bootstrap and Permutation Tests : AFNI ; Blossom Statistical Analysis Package ; Eviews ; HaploView ; MatLab® ; NCSS ; PAUP ; R ; SAS ; S-Plus ; SPSS Exact Tests ; Stata ; Statistical Calculator ; StatXact ; Testimate -- 4. Comparing Two Populations: A Distribution-Free Test ; Some Statistical Considerations ; Computing the p-Value ; Other Two-Sample Comparisons ; Two-Sided Test ; Rank Tests ; Matched Pairs ; R Code ; Stata ; Test for Nonequivalence ; Underlying Assumptions ; Comparing Variances -- 5. Multiple Variables: Single-Valued Test Statistic ; Combining Univariate Tests -- 6. Experimental Design and Analysis: Separating Signal from Noise ; k-Sample Comparison ; Multiple Factors ; Eliminating the Effects of Multiple Covariates ; Crossover Designs ; Which Sets of Labels Should We Rearrange? ; Determining Sample Size ; Missing Combinations -- 7. Categorical Data: Fisher's Exact Test. ; Odds Ratio.4 ; Unordered r x c Contingency Tables ; Ordered Statistical Tables ; Multidimensional Arrays -- 8. Multiple Hypotheses: Controlling the Family-Wise Error Rate ; Controlling the False Discovery Rate ; Software for Performing Multiple Simultaneous Tests ; Testing for Trend -- 9. Model Building: Regression Models ; Applying the Permutation Test ; Applying the Bootstrap ; Prediction Error ; Validation -- 10. Classification: Cluster Analysis ; Classification ; Decision Trees ; Decision Trees vs. Regression ; Which Decision Tree Algorithm Is Best for Your Application? ; Reducing the Rate of Misclassification ; Comparison of Classification Tree Algorithms ; Validation vs. Cross-Validation -- 11. Restricted Permutations: Quasi Independence ; Complete Factorials ; Synchronized Permutations ; Model Validation -- Appendix A: Basic Concepts in Statistics: Additive vs. Multiplicative Models ; Central Values ; Combinations and Rearrangements ; Dispersion ; Frequency Distribution and Percentiles ; Linear vs. Nonlinear Regression ; Regression Methods -- Appendix B: Proof of Theorems

稽核項：

x, 214 p. : ill. ; 25 cm

叢書名：

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