| Acknowledgment |
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xi | |
| About the author |
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xiii | |
| Preface |
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xv | |
| My plea for this composition and my target readership |
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xvii | |
| Introduction |
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xxi | |
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Chapter 1 Certain Essential Preliminaries |
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1 | (18) |
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1 | (1) |
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1.1 Concepts of Population, Sample, Survey, Census, Sampling: Design and Schemes, Estimator and Strategy |
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1 | (4) |
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1.2 Properties of Estimators and Strategies; Different Inferential Approaches: Design-Based, Predictive, Super-Population Model-Based, Model-Assisted and Bayesian |
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5 | (5) |
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1.3 Sufficiency, Minimal Sufficiency and Bayesian Sufficiency |
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10 | (3) |
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1.4 Classes of Estimators |
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13 | (2) |
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1.5 Godambe's and Basu's Theorems on Non-Existence of UMV Estimators |
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15 | (2) |
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1.6 Hanurav's (1966) and Hege's (1965) Exceptions and Remedial Steps |
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17 | (2) |
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Chapter 2 Further Essentials for Unstratifled Uni-Stage Cases |
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19 | (12) |
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19 | (1) |
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2.1 Labels: Their Roles and Related Controversies |
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20 | (2) |
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22 | (1) |
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2.3 Necessary and Sufficient Conditions for Existence of an Unbiased Estimator for a Total and of a Variance Estimator |
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23 | (1) |
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2.4 Determination of Sample-Size |
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24 | (3) |
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2.5 Varying Probability Sampling Methods and Associated Estimation Procedures |
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27 | (4) |
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Chapter 3 More in Design-Based Sampling |
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31 | (36) |
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31 | (1) |
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3.1 Stratified Sampling and Other Sampling and Estimation Procedures |
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31 | (25) |
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3.2 Replicated Sampling and Its Applications |
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56 | (1) |
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57 | (3) |
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3.4 Multi-Phase Sampling: Ratio and Regression Estimation |
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60 | (3) |
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3.5 Sampling on Successive Occasions and Panel Sampling |
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63 | (3) |
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3.6 Non-Sampling Error and Non-Response Error Problems: Weighting Adjustments and Imputation Techniques |
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66 | (1) |
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Chapter 4 Super-Population Modeling and Its Various Uses |
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67 | (38) |
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67 | (1) |
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4.1 Super-Population Modeling |
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67 | (9) |
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4.2 Linearization Technique |
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76 | (1) |
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4.3 Small Area Estimation |
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77 | (4) |
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81 | (2) |
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4.5 Bootstrap in Finite Population Sampling |
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83 | (10) |
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4.6 Balanced Repeated Replication (BRR) |
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93 | (3) |
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4.7 Kriging or Spatial Prediction |
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96 | (1) |
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4.8 Estimating Equations and Estimating Functions |
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97 | (5) |
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4.9 Basu's (1971) Circus Example |
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102 | (3) |
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Chapter 5 Indirect Questioning in Sensitive Surveys |
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105 | (22) |
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105 | (1) |
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5.1 Randomized Response Techniques: General Sampling and Simple Random Sampling with Replacement |
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105 | (18) |
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5.2 A Few Indirect Questioning Techniques Other than RRT's |
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123 | (2) |
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5.3 Three More Indirect Questioning Techniques |
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125 | (2) |
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Chapter 6 Adaptive and Network Sampling |
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127 | (10) |
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127 | (1) |
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127 | (3) |
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130 | (2) |
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6.3 A Live Problem and Application |
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132 | (5) |
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Chapter 7 Inadequate and Multiple Frames |
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137 | (8) |
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137 | (1) |
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7.1 Sampling from Inadequate Frames |
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137 | (4) |
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7.2 Sampling from Multiple Frames |
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141 | (1) |
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7.3 Conditional Inference |
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142 | (3) |
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Chapter 8 Analytic Studies |
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145 | (2) |
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145 | (1) |
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8.1 Analytic Studies, Tests of Goodness of Fit, Independence, Homogeneity, Regression and Categorical Analysis |
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145 | (2) |
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147 | (12) |
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147 | (1) |
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147 | (12) |
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Chapter 10 Lessons and Exercises |
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159 | (26) |
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159 | (1) |
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10.1 Examples, Exercises and Riders with Complete and Hinted Solutions |
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159 | (26) |
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185 | (4) |
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185 | (1) |
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11.1 Reviews of Various Sampling Schemes |
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185 | (4) |
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189 | (4) |
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12.0 Epilogue. An Appraisal of the Past, the Current and the Future Possibilities |
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189 | (4) |
| References |
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193 | (18) |
| Index |
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211 | |
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