Elements of survey sampling

목차 (Table of Contents)

• CONTENTS
• PREFACE = xiii
• 1. COLLECTION OF SURVEY DATA
• 1.1 Need for statistical data = 1
• 1.2 Types of data = 1
• 1.3 Methods collecting primary data = 2
• 1.4 Framing of questionnaire ／ schedule = 3
• 1.5 Some technical terms = 4
• 1.6 Need for a sample = 5
• 1.7 Sampling procedures = 6
• 1.8 With and without replacement sampling = 7
• 1.9 Planning and execution of sample surveys = 9
• Let us do = 11
• 2. ELEMENTARY CONCEPTS
• 2.1 Introduction = 14
• 2.2 Statistical preliminaries = 14
• 2.3 Estimator and its sampling distribution = 16
• 2.4 Unbiased estimator = 19
• 2.5 Measures of error = 21
• 2.6 Confidence intervals = 23
• 2.7 Sample size determination = 26
• 2.8 Sampling and nonsampling errors = 27
• Let us do = 28
• 3. SIMPLE RANDOM SAMPLING
• 3.1 What is simple random sampling? = 30
• 3.2 How to draw a simple random sample? = 30
• 3.3 Estimation of population mean ／ total = 33
• 3.4 Estimation of mean ／ total using distinct distinct units = 48
• 3.5 Determining sample size for estimating population mean ／ total = 50
• 3.6 Estimation of population proportion = 53
• 3.7 Sample size for estimation of proportion = 55
• 3.8 Estimation of proportion using inverse sampling = 56
• 3.9 Estimation over subpopulations = 58
• 3.10 Some further remarks Let us do = 62
• Let us do = 63
• 4. SAMPLING WITH VARYING PROBABILITES
• 4.1 Introduction = 67
• 4.2 Methods of selecting a PPS sample = 67
• 4.3 Estimation in PPSWR sampling = 70
• 4.4 Relative efficiency of PPSWR estimator = 72
• 4.5 Determining sample size for estimating population mean ／ total = 76
• 4.6 Sampling with PPS without replacement = 77
• 4.7 Des Raj's ordered estimator = 78
• 4.8 Murthy's unordered estimator = 82
• 4.9 Horvitz-Thompson estimator = 84
• 4.10 Sen-Midzuno method = 86
• 4.11 Random group method = 91
• 4.12 Relative efficiency of RHC estimator = 95
• 4.13 Some further remarks = 97
• Let us do = 98
• 5. STRATIFIED SAMPLING
• 5.1 Introduction = 102
• 5.2 Notations = 104
• 5.3 Estimation of mean and total using simple random sampling = 104
• 5.4 Alloction of sample size = 108
• 5.5 Relative efficiency of stratified estimator = 123
• 5.6 Estimation of population proportion = 129
• 5.7 Construction of strata = 132
• 5.8 Poststratification = 136
• 5.9 Some further remarks = 138
• Let us do = 140
• 6. SYSTEMATIC SAMPLING
• 6.1 Linear systematic sampling = 145
• 6.2 Circular systematic sampling = 148
• 6.3 Estimating mean ／ total = 149
• 6.4 Estimating eman ／ total throughinterpenetrating subsamples = 153
• 6.5 Sample size determination for estimating mean ／ total = 156
• 6.6 Estimation of proportion = 158
• 6.7 Some further remarks = 160
• Let us do = 161
• 7. RATIO AND PRODUCT METHODS OF ESTIMATION
• 7.1 Need for ratio estimation = 165
• 7.2 Estimation of population ratio = 166
• 7.3 Ratio estimator for population mean ／ total = 169
• 7.4 Determining the sample size for estimation of ratio, mean, and total = 175
• 7.5 Separate and combined ratio estimators = 178
• 7.6 Some further remarks = 184
• 7.7 Product method for estimating mean ／ total = 185
• 7.8 Determination of sample size for product estimator = 189
• Let us do = 191
• 8. REGRESSION METHOD OF ESTIMATION
• 8.1 Introduction = 197
• 8.2 Estimation of mean ／ total using difference estimator = 197
• 8.3 Estimation of mean ／ total using estimated regression coefficient = 201
• 8.4 Sample size depermination for estimating mean ／ total = 204
• 8.5 Separate and combined regression estimators = 206
• 8.6 Some further remarks = 216
• Let us do = 217
• 9. TWO-PHASE SAMPLING
• 9.1 Need for two-phase sampling = 221
• 9.2 Two-phase sampling in ratio, product, and regression methods of estimation = 222
• 9.3 Sample size determination for ratio, product, and regression estimators = 231
• 9.4 Two-phase PPS sampling = 233
• 9.5 Sampling on two occasions = 237
• 9.6 Some further remarks = 242
• Let us do = 243
• 10. CLUSTER SAMPLING
• 10.1 Introduction = 248
• 10.2 Notations = 249
• 10.3 Estimation of mean using simple random sampling = 250
• 10.4 Estimation of total using simple random sampling = 258
• 10.5 Relative efficiency of cluster sampling = 264
• 10.6 Determining the sample size for estimating mean ／ total = 266
• 10.7 Estimation of proportion = 269
• 10.8 Sample size required for estimation of proportion = 273
• 10.9 Selection of clusters with unequal probabilities = 275
• 10.10 Some further remarks = 278
• Let us do = 278
• 11. MULTISTAGE SAMPLING
• 11.1 Introduction = 283
• 11.2 Notations = 284
• 11.3 Estimation of mean ／ total in two-stage sampling using SRSWOR at both the stages = 284
• 11.4 Estimation of proportion = 296
• 11.5 Estimation of mean ／ total using PPSWOR and SRSWOR = 304
• 11.6 Some further remarks = 307
• Let us do = 308
• 12. SAMPLING FROM MOBILE POPULATIONS
• 12.1 Introduction = 283
• 12.2 Estimation of population size using direct sampling = 315
• 12.3 Estimation of population sizeusing inverse sampling = 320
• 12.4 Determining the sample sizes = 324
• 12.5 Some further remarks = 328
• Let us do = 329
• 13. NONRESPONSE ERRORS
• 13.1 Introduction = 331
• 13.2 Hansen and Hurwitz technique = 332
• 13.3 Bias reduction without call-backs = 337
• 13.4 Warner's randomized response model = 340
• 13.5 Mangat and Singh's two-stage model = 342
• 13.6 Urelated question model = 345
• 13.7 Estimation of mean for quantitative characters = 350
• Let us do = 358
• APPENDIXES
• A. Standard normal probaility distribution = 364
• B. Random numbers = 365
• C. Number of tractors, tube wells, and net irrigated area(in hectares) for 69 villages of Doraha development block of Punjab, India = 369
• D. Fifty WOR simple random samples = 371
• E. Explanation of certain local terms used = 372
• REFERENCES = 373
• AUTHOR INDEX = 383
• SUBJECT INDEX = 385