The statistical sleuth : a course in methods of data analysis / Fred L. Ramsey, Daniel W. Schafer.

Format:

Book

Author/Creator:

Ramsey, Fred L.

Contributor:

Schafer, Daniel W.

Rosengarten Family Fund.

Language:

English

Subjects (All):

Mathematical statistics.

Physical Description:

xxvi, 742 pages : illustrations ; 25 cm + 1 computer optical disc (4 3/4 in.)

Edition:

Second edition.

Place of Publication:

Australia ; Pacific Grove, CA : Duxbury/Thomson Learning, [2002]

System Details:

text file

Contents:

Chapter 1 Drawing Statistical Conclusions 1

1.2 Statistical Inference and Study Design 5

1.3 Measuring Uncertainty in Randomized Experiments 10

1.4 Measuring Uncertainty in Observational Studies 14

Chapter 2 Inference Using t-Distributions 28

2.2 One-Sample t-Tools and the Paired t-Test 31

2.3 A t-Ratio for Two-sample Inference 37

2.4 Inferences in a Two-Treatment Randomized Experiment 44

Chapter 3 A Closer Look at Assumptions 56

3.2 Robustness of the Two-Sample t-Tools 60

3.3 Resistance of the Two-Sample t-Tools 64

3.4 Practical Strategies for the Two-Sample Problem 65

3.5 Transformations of the Data 68

Chapter 4 Alternatives to the t-Tools 85

4.2 The Rank-Sum Test 89

4.3 Other Alternatives for Two Independent Samples 95

4.4 Alternatives for Paired Data 99

Chapter 5 Comparisons Among Several Samples 113

5.2 Comparing Any Two of the Several Means 119

5.3 The One-Way Analysis of Variance F-Test 121

5.4 More Applications of the Extra-Sum-of-Squares F-Test 127

5.5 Robustness and Model Checking 130

Chapter 6 Linear Combinations and Multiple Comparisons of Means 149

6.2 Inferences About Linear Combinations of Group Means 152

6.3 Simultaneous Inferences 159

6.4 Some Multiple Comparison Procedures 161

Chapter 7 Simple Linear Regression: A Model for the Mean 174

7.2 The Simple Linear Regression Model 178

7.3 Least Squares Regression Estimation 181

7.4 Inferential Tools 186

Chapter 8 A Closer Look at Assumptions for Simple Linear Regression 206

8.2 Robustness of Least Squares Inferences 210

8.3 Graphical Tools for Model Assessment 212

8.4 Interpretation After Log Transformations 215

8.5 Assessment of Fit Using the Analysis of Variance 217

Chapter 9 Multiple Regression 235

9.2 Regression Coefficients 240

9.3 Specially Constructed Explanatory Variables 243

9.4 A Strategy for Data Analysis 250

9.5 Graphical Methods for Data Exploration and Presentation 251

Chapter 10 Inferential Tools for Multiple Regression 267

10.2 Inferences About Regression Coefficients 271

10.3 Extra-Sums-of-Squares F-Tests 280

Chapter 11 Model Checking and Refinement 304

11.2 Residual Plots 310

11.3 A Strategy for Dealing with Influential Observations 313

11.4 Case-Influence Statistics 316

11.5 Refining the Model 321

Chapter 12 Strategies for Variable Selection 338

12.2 Specific Issues Relating to Many Explanatory Variables 345

12.3 Sequential Variable Selection Techniques 350

12.4 Model Selection Among All Subsets 354

12.5 Posterior Beliefs About Different Models 358

12.6 Analysis of the Sex Discrimination Data 358

Chapter 13 The Analysis of Variance for Two-Way Classifications 374

13.2 Additive and Nonadditive Models for Two-Way Tables 378

13.3 Analysis of the Seaweed Grazer Data 382

13.4 Analysis of the Pygmalion Data 392

Chapter 14 Multifactor Studies Without Replication 409

14.2 Strategies for Analyzing Tables with One Observation per Cell 414

14.3 Analysis of the Chimpanzee Learning Times Study 415

14.4 Analysis of the Soybean Data 421

Chapter 15 Adjustment for Serial Correlation 436

15.2 Comparing the Means of Two Time Series 439

15.3 Regression After Transformation in the AR(1) Model 445

15.4 Determining if Serial Correlation is Present 448

15.5 Diagnostic Procedures for Judging the Adequacy of the AR(1) Model 450

Chapter 16 Repeated Measures and Other Multivariate Responses 462

16.2 Tools and Strategies for Analyzing Repeated Measures 466

16.3 Comparing the Means of Bivariate Responses in Two Groups 471

16.4 One-Sample Analysis with Bivariate Responses 479

Chapter 17 Exploratory Tools for Summarizing Multivariate Responses 497

17.2 Linear Combinations of Variables 502

17.3 Principal Components Analysis 504

17.4 Canonical Correlations Analysis 511

17.5 Introduction to Other Multivariate Tools 515

Chapter 18 Comparisons of Proportions or Odds 529

18.2 Inferences for the Difference of Two Proportions 533

18.3 Inference About the Ratio of Two Odds 538

18.4 Inference from Retrospective Studies 542

Chapter 19 More Tools for Tables of Counts 552

19.2 Population Models for 2 x 2 Tables of Counts 555

19.3 The Chi-Squared Test 559

19.4 Fisher's Exact Test: The Randomization (Permutation) Test for 2 x 2 Tables 562

19.5 Combining Results from Several Tables with Equal Odds Ratios 566

Chapter 20 Logistic Regression for Binary Response Variables 579

20.2 The Logistic Regression Model 583

20.3 Estimation of Logistic Regression Coefficients 587

20.4 The Drop-In-Deviance Test 592

20.5 Strategies for Data Analysis Using Logistic Regression 595

20.6 Analyses of Case Studies 596

Chapter 21 Logistic Regression for Binomial Counts 609

21.2 Logistic Regression for Binomial Responses 614

21.3 Model Assessment 615

21.4 Inferences about Logistic Regression Coefficients 618

21.5 Extra-Binomial Variation 621

21.6 Analysis of Moth Predation Data 624

Chapter 22 Log-Linear Regression for Poisson Counts 644

22.2 Log-Linear Regression for Poisson Responses 648

22.3 Model Assessment 651

22.4 Inferences about Log-Linear Regression Coefficients 654

22.5 Extra-Poisson Variation and the Log-Linear Model 656

Chapter 23 Elements of Research Design 669

23.2 Considerations in Forming Research Objectives 670

23.3 Research Design Tool Kit 671

23.4 Design Choices that Affect Accuracy and Precision 674

23.5 Choosing a Sample Size 678

23.6 Steps in Designing a Study 680

23.7 Related Issue

A Factor of Four 687

Chapter 24 Factorial Treatment Arrangements and Blocking Designs 693

24.2 Treatments 695

24.3 Factorial Arrangement of Treatment Levels 697

24.4 Blocking 706

A.1 Probabilities of the Standard Normal Distribution 716.

Notes:

Includes bibliographical references (pages 732-733) and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Rosengarten Family Fund.

ISBN:

0534386709

OCLC:

46784985