Statistical Methods/
N G. Das
- New Delhi: Tata Mcgraw Hill, 2008.
- 459 p.
Front Cover; Contents; Preface; Chapter 1. Data and Statistics; 1.1 Introduction; 1.2 Observations and Variables; 1.3 Types of Measurements for Variables; 1.4 Distributions; 1.5 Numerical Descriptive Statistics; 1.6 Exploratory Data Analysis; 1.7 Bivariate Data; 1.8 Populations, Samples, and Statistical Inference A Preview; 1.9 Chapter Summary; 1.10 Chapter Exercises; Chapter 2. Probability and Sampling Distributions; 2.1 Introduction; 2.2 Probability; 2.3 Discrete Probability Distributions; 2.4 Continuous Probability Distributions; 2.5 Sampling Distributions. 2.6 Other Sampling Distributions2.7 Chapter Summary; 2.8 Chapter Exercises; Chapter 3. Principles of Inference; 3.1 Introduction; 3.2 Hypothesis Testing; 3.3 Estimation; 3.4 Sample Size; 3.5 Assumptions; 3.6 Chapter Summary; 3.7 Chapter Exercises; Chapter 4. Inferences on a Single Population; 4.1 Introduction; 4.2 Inferences on the Population Mean; 4.3 Inferences on a Proportion; 4.4 Inferences on the Variance of One Population; 4.5 Assumptions; 4.6 Chapter Summary; 4.7 Chapter Exercises; Chapter 5. Inferences for Two Populations; 5.1 Introduction. 5.2 Inferences on the Difference between Means Using Independent Samples5.3 Inferences on Variances; 5.4 Inferences on Means for Dependent Samples; 5.5 Inferences on Proportions; 5.6 Assumptions and Remedial Methods; 5.7 Chapter Summary; 5.8 Chapter Exercises; Chapter 6. Inferences for Two or More Means; 6.1 Introduction; 6.2 The Analysis of Variance; 6.3 The Linear Model; 6.4 Assumptions; 6.5 Specific Comparisons; 6.6 Random Models; 6.7 Unequal Sample Sizes; 6.8 Analysis of Means; 6.9 Chapter Summary; 6.10 Chapter Exercises; Chapter 7. Linear Regression; 7.1 Introduction. 7.2 The Regression Model7.3 Estimation of Parameters 0 and 1; 7.4 Estimation of 2 and the Partitioning of Sums of Squares; 7.5 Inferences for Regression; 7.6 Using the Computer; 7.7 Correlation; 7.8 Regression Diagnostics; 7.9 Chapter Summary; 7.10 Chapter Exercises; Chapter 8. Multiple Regression; 8.1 The Multiple Regression Model; 8.2 Estimation of Coefficients; 8.3 Inferential Procedures; 8.4 Correlations; 8.5 Using the Computer; 8.6 Special Models; 8.7 Multicollinearity; 8.8 Variable Selection; 8.9 Detection of Outliers, Row Diagnostics; 8.10 Chapter Summary; 8.11 Chapter Exercises. Chapter 9. Factorial Experiments9.1 Introduction; 9.2 Concepts and Definitions; 9.3 The Two-Factor Factorial Experiment; 9.4 Specific Comparisons; 9.5 No Replications; 9.6 Three or More Factors; 9.7 Chapter Summary; 9.8 Chapter Exercises; Chapter 10. Design of Experiments; 10.1 Introduction; 10.2 The Randomized Block Design; 10.3 Randomized Blocks with Sampling; 10.4 Latin Square Design; 10.5 Other Designs; 10.6 Chapter Summary; 10.7 Chapter Exercises; Chapter 11. Other Linear Models; 11.1 Introduction; 11.2 The Dummy Variable Model; 11.3 Unbalanced Data.