这是一本非常不错的入门级的S-PLUS教程。非常适合与初学者使用。主要的目录如下:
TABLE OF CONTENTS
PREFACE
| ix
|
ACKNOWLEDGMENTS
| xiii
|
PART I: INTRODUCTION AND STATISTICAL THEORY
|
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1. Statistical Theory
| 1
|
2. Generating Random Numbers
| 7
|
3. Frequency Distributions
| 14
|
4. Stem and Leaf Plots
| 25
|
5. Population Distributions
| 32
|
6. Measures of Central Tendency
| 39
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7. Measures of Dispersion
| 46
|
8. Sample Size Effects
| 53
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9. Tchebysheff Inequality Theorem
| 59
|
10. Normal Bell-Shaped Curve
| 67
|
PART II: PROBABILITY AND PROBABILITY DISTRIBUTIONS
|
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11. Probability
| 74
|
12. Joint Probability
| 84
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13. Addition Law of Probability
| 90
|
14. Multiplication Law of Probability
| 95
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15. Conditional Probability
| 100
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16. Combinations and Permutations
| 107
|
PART III: MONTE CARLO AND STATISTICAL DISTRIBUTIONS
|
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17. Binomial Distribution
| 115
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18. Monte Carlo Simulation
| 124
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19. Normal Distribution
| 133
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20. t Distribution
| 140
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21. Chi-square distribution
| 149
|
22. F Distribution
| 156
|
PART IV: SAMPLING AND INFERENCE
|
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23. Sampling Distributions
| 165
|
24. Central Limit Theorem
| 172
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25. Confidence Intervals
| 182
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26. Hypothesis Testing
| 189
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27. Type I Error
| 201
|
28. Type II Error
| 209
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PART V: HYPOTHESIS TESTING IN RESEARCH
|
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29. z test statistic for proportions
| 218
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30. Chi-square test statistic
| 228
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31. t Test for Mean Differences
| 236
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32. Analysis of Variance
| 247
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33. Correlation
| 260
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34. Linear Regression
| 272
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PART VI: REPLICABILITY OF FINDINGS
|
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35. Cross Validation
| 283
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36. Jackknife
| 290
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37. Bootstrap
| 299
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38. Meta-Analysis
| 307
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39. Significance Testing vs. Practical Importance
| 322
|
GLOSSARY OF TERMS
| 330
|
ABOUT THE AUTHORS
| 341
|
APPENDIX
| 342
|
ANSWERS TO CHAPTER EXERCISES
| 351
|
AUTHOR INDEX
| 354
|
SUBJECT INDEX
| 355
|
顺便把书所附带的S-PLUS脚本文件也发上来。