Survey Sampling:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Milton
CRC Press LLC
2018
|
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (241 Seiten) |
| ISBN: | 9781351650724 |
Staff View
MARC
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| 505 | 8 | |a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Acknowledgment -- About the author -- Preface -- My plea for this composition and my target readership -- Introduction -- Chapter 1: Certain Essential Preliminaries -- 1.0 Summary -- 1.1 Concepts of Population, Sample, Survey, Census, Sampling: Design and Schemes, Estimator and Strategy -- 1.2 Properties of Estimators and Strategies -- Different Inferential Approaches: Design-Based, Predictive, Super-Population Model-Based, Model-Assisted and Bayesian -- 1.3 Sufficiency, Minimal Sufficiency and Bayesian Sufficiency -- 1.4 Classes of Estimators -- 1.5 Godambe's and Basu's Theorems on Non-Existence of UMV Estimators -- 1.6 Hanurav's (1966) and Hege's (1965) Exceptions and Remedial Steps -- Chapter 2: Further Essentials for Unstratified Uni-Stage Cases -- 2.0 Summary -- 2.1 Labels: Their Roles and Related Controversies -- 2.2 Minimaxity -- 2.3 Necessary and Sufficient Conditions for Existence of an Unbiased Estimator for a Total and of a Variance Estimator -- 2.4 Determination of Sample-Size -- 2.5 Varying Probability Sampling Methods and Associated Estimation Procedures -- Chapter 3: More in Design-Based Sampling -- 3.0 Summary -- 3.1 Stratified Sampling and Other Sampling and Estimation Procedures -- 3.2 Replicated Sampling and Its Applications -- 3.3 Controlled Sampling -- 3.4 Multi-Phase Sampling: Ratio and Regression Estimation -- 3.5 Sampling on Successive Occasions and Panel Sampling -- 3.6 Non-Sampling Error and Non-Response Error Problems: Weighting Adjustments and Imputation Techniques -- Chapter 4: Super-Population Modeling and Its Various Uses -- 4.0 Summary -- 4.1 Super-Population Modeling -- 4.2 Linearization Technique -- 4.3 Small Area Estimation -- 4.4 Jack-Knife -- 4.5 Bootstrap in Finite Population Sampling | |
| 505 | 8 | |a 4.6 Balanced Repeated Replication (BRR) -- 4.7 Kriging or Spatial Prediction -- 4.8 Estimating Equations and Estimating Functions -- 4.9 Basu's (1971) Circus Example -- Chapter 5: Indirect Questioning in Sensitive Surveys -- 5.0 Summary -- 5.1 Randomized Response Techniques: General Sampling and Simple Random Sampling with Replacement -- 5.2 A Few Indirect Questioning Techniques Other than RRT's -- 5.3 Three More Indirect Questioning Techniques -- Chapter 6: Adaptive and Network Sampling -- 6.0 Summary -- 6.1 Adaptive Sampling -- 6.2 Network Sampling -- 6.3 A Live Problem and Application -- Chapter 7: Inadequate and Multiple Frames -- 7.0 Summary -- 7.1 Sampling from Inadequate Frames -- 7.2 Sampling from Multiple Frames -- 7.3 Conditional Inference -- Chapter 8: Analytic Studies -- 8.0 Summary -- 8.1 Analytic Studies, Tests of Goodness of Fit, Independence, Homogeneity, Regression and Categorical Analysis -- Chapter 9: Case Studies -- 9.0 Summary -- 9.1 Case Studies -- Chapter 10: Lessons and Exercises -- 10.0 Summary -- 10.1 Examples, Exercises and Riders with Complete and Hinted Solutions -- Chapter 11: Reviews -- 11.0 Summary -- 11.1 Reviews of Various Sampling Schemes -- Chapter 12: An Appraisal -- 12.0 Epilogue. An Appraisal of the Past, the Current and the Future Possibilities -- References -- Index | |
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Record in the Search Index
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| author | Chaudhuri, Arijit |
| author_facet | Chaudhuri, Arijit |
| author_role | aut |
| author_sort | Chaudhuri, Arijit |
| author_variant | a c ac |
| building | Verbundindex |
| bvnumber | BV047442398 |
| collection | ZDB-30-PQE |
| contents | Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Acknowledgment -- About the author -- Preface -- My plea for this composition and my target readership -- Introduction -- Chapter 1: Certain Essential Preliminaries -- 1.0 Summary -- 1.1 Concepts of Population, Sample, Survey, Census, Sampling: Design and Schemes, Estimator and Strategy -- 1.2 Properties of Estimators and Strategies -- Different Inferential Approaches: Design-Based, Predictive, Super-Population Model-Based, Model-Assisted and Bayesian -- 1.3 Sufficiency, Minimal Sufficiency and Bayesian Sufficiency -- 1.4 Classes of Estimators -- 1.5 Godambe's and Basu's Theorems on Non-Existence of UMV Estimators -- 1.6 Hanurav's (1966) and Hege's (1965) Exceptions and Remedial Steps -- Chapter 2: Further Essentials for Unstratified Uni-Stage Cases -- 2.0 Summary -- 2.1 Labels: Their Roles and Related Controversies -- 2.2 Minimaxity -- 2.3 Necessary and Sufficient Conditions for Existence of an Unbiased Estimator for a Total and of a Variance Estimator -- 2.4 Determination of Sample-Size -- 2.5 Varying Probability Sampling Methods and Associated Estimation Procedures -- Chapter 3: More in Design-Based Sampling -- 3.0 Summary -- 3.1 Stratified Sampling and Other Sampling and Estimation Procedures -- 3.2 Replicated Sampling and Its Applications -- 3.3 Controlled Sampling -- 3.4 Multi-Phase Sampling: Ratio and Regression Estimation -- 3.5 Sampling on Successive Occasions and Panel Sampling -- 3.6 Non-Sampling Error and Non-Response Error Problems: Weighting Adjustments and Imputation Techniques -- Chapter 4: Super-Population Modeling and Its Various Uses -- 4.0 Summary -- 4.1 Super-Population Modeling -- 4.2 Linearization Technique -- 4.3 Small Area Estimation -- 4.4 Jack-Knife -- 4.5 Bootstrap in Finite Population Sampling 4.6 Balanced Repeated Replication (BRR) -- 4.7 Kriging or Spatial Prediction -- 4.8 Estimating Equations and Estimating Functions -- 4.9 Basu's (1971) Circus Example -- Chapter 5: Indirect Questioning in Sensitive Surveys -- 5.0 Summary -- 5.1 Randomized Response Techniques: General Sampling and Simple Random Sampling with Replacement -- 5.2 A Few Indirect Questioning Techniques Other than RRT's -- 5.3 Three More Indirect Questioning Techniques -- Chapter 6: Adaptive and Network Sampling -- 6.0 Summary -- 6.1 Adaptive Sampling -- 6.2 Network Sampling -- 6.3 A Live Problem and Application -- Chapter 7: Inadequate and Multiple Frames -- 7.0 Summary -- 7.1 Sampling from Inadequate Frames -- 7.2 Sampling from Multiple Frames -- 7.3 Conditional Inference -- Chapter 8: Analytic Studies -- 8.0 Summary -- 8.1 Analytic Studies, Tests of Goodness of Fit, Independence, Homogeneity, Regression and Categorical Analysis -- Chapter 9: Case Studies -- 9.0 Summary -- 9.1 Case Studies -- Chapter 10: Lessons and Exercises -- 10.0 Summary -- 10.1 Examples, Exercises and Riders with Complete and Hinted Solutions -- Chapter 11: Reviews -- 11.0 Summary -- 11.1 Reviews of Various Sampling Schemes -- Chapter 12: An Appraisal -- 12.0 Epilogue. An Appraisal of the Past, the Current and the Future Possibilities -- References -- Index |
| ctrlnum | (ZDB-30-PQE)EBC6409608 (ZDB-30-PAD)EBC6409608 (ZDB-89-EBL)EBL6409608 (OCoLC)1225554689 (DE-599)BVBBV047442398 |
| dewey-full | 519.52 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.52 |
| dewey-search | 519.52 |
| dewey-sort | 3519.52 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:01:24Z |
| indexdate | 2024-07-10T09:12:16Z |
| institution | BVB |
| isbn | 9781351650724 |
| language | English |
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| psigel | ZDB-30-PQE |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | CRC Press LLC |
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| spelling | Chaudhuri, Arijit Verfasser aut Survey Sampling Milton CRC Press LLC 2018 ©2018 1 Online-Ressource (241 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Acknowledgment -- About the author -- Preface -- My plea for this composition and my target readership -- Introduction -- Chapter 1: Certain Essential Preliminaries -- 1.0 Summary -- 1.1 Concepts of Population, Sample, Survey, Census, Sampling: Design and Schemes, Estimator and Strategy -- 1.2 Properties of Estimators and Strategies -- Different Inferential Approaches: Design-Based, Predictive, Super-Population Model-Based, Model-Assisted and Bayesian -- 1.3 Sufficiency, Minimal Sufficiency and Bayesian Sufficiency -- 1.4 Classes of Estimators -- 1.5 Godambe's and Basu's Theorems on Non-Existence of UMV Estimators -- 1.6 Hanurav's (1966) and Hege's (1965) Exceptions and Remedial Steps -- Chapter 2: Further Essentials for Unstratified Uni-Stage Cases -- 2.0 Summary -- 2.1 Labels: Their Roles and Related Controversies -- 2.2 Minimaxity -- 2.3 Necessary and Sufficient Conditions for Existence of an Unbiased Estimator for a Total and of a Variance Estimator -- 2.4 Determination of Sample-Size -- 2.5 Varying Probability Sampling Methods and Associated Estimation Procedures -- Chapter 3: More in Design-Based Sampling -- 3.0 Summary -- 3.1 Stratified Sampling and Other Sampling and Estimation Procedures -- 3.2 Replicated Sampling and Its Applications -- 3.3 Controlled Sampling -- 3.4 Multi-Phase Sampling: Ratio and Regression Estimation -- 3.5 Sampling on Successive Occasions and Panel Sampling -- 3.6 Non-Sampling Error and Non-Response Error Problems: Weighting Adjustments and Imputation Techniques -- Chapter 4: Super-Population Modeling and Its Various Uses -- 4.0 Summary -- 4.1 Super-Population Modeling -- 4.2 Linearization Technique -- 4.3 Small Area Estimation -- 4.4 Jack-Knife -- 4.5 Bootstrap in Finite Population Sampling 4.6 Balanced Repeated Replication (BRR) -- 4.7 Kriging or Spatial Prediction -- 4.8 Estimating Equations and Estimating Functions -- 4.9 Basu's (1971) Circus Example -- Chapter 5: Indirect Questioning in Sensitive Surveys -- 5.0 Summary -- 5.1 Randomized Response Techniques: General Sampling and Simple Random Sampling with Replacement -- 5.2 A Few Indirect Questioning Techniques Other than RRT's -- 5.3 Three More Indirect Questioning Techniques -- Chapter 6: Adaptive and Network Sampling -- 6.0 Summary -- 6.1 Adaptive Sampling -- 6.2 Network Sampling -- 6.3 A Live Problem and Application -- Chapter 7: Inadequate and Multiple Frames -- 7.0 Summary -- 7.1 Sampling from Inadequate Frames -- 7.2 Sampling from Multiple Frames -- 7.3 Conditional Inference -- Chapter 8: Analytic Studies -- 8.0 Summary -- 8.1 Analytic Studies, Tests of Goodness of Fit, Independence, Homogeneity, Regression and Categorical Analysis -- Chapter 9: Case Studies -- 9.0 Summary -- 9.1 Case Studies -- Chapter 10: Lessons and Exercises -- 10.0 Summary -- 10.1 Examples, Exercises and Riders with Complete and Hinted Solutions -- Chapter 11: Reviews -- 11.0 Summary -- 11.1 Reviews of Various Sampling Schemes -- Chapter 12: An Appraisal -- 12.0 Epilogue. An Appraisal of the Past, the Current and the Future Possibilities -- References -- Index Erscheint auch als Druck-Ausgabe Chaudhuri, Arijit Survey Sampling Milton : CRC Press LLC,c2018 9781498774741 |
| spellingShingle | Chaudhuri, Arijit Survey Sampling Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Acknowledgment -- About the author -- Preface -- My plea for this composition and my target readership -- Introduction -- Chapter 1: Certain Essential Preliminaries -- 1.0 Summary -- 1.1 Concepts of Population, Sample, Survey, Census, Sampling: Design and Schemes, Estimator and Strategy -- 1.2 Properties of Estimators and Strategies -- Different Inferential Approaches: Design-Based, Predictive, Super-Population Model-Based, Model-Assisted and Bayesian -- 1.3 Sufficiency, Minimal Sufficiency and Bayesian Sufficiency -- 1.4 Classes of Estimators -- 1.5 Godambe's and Basu's Theorems on Non-Existence of UMV Estimators -- 1.6 Hanurav's (1966) and Hege's (1965) Exceptions and Remedial Steps -- Chapter 2: Further Essentials for Unstratified Uni-Stage Cases -- 2.0 Summary -- 2.1 Labels: Their Roles and Related Controversies -- 2.2 Minimaxity -- 2.3 Necessary and Sufficient Conditions for Existence of an Unbiased Estimator for a Total and of a Variance Estimator -- 2.4 Determination of Sample-Size -- 2.5 Varying Probability Sampling Methods and Associated Estimation Procedures -- Chapter 3: More in Design-Based Sampling -- 3.0 Summary -- 3.1 Stratified Sampling and Other Sampling and Estimation Procedures -- 3.2 Replicated Sampling and Its Applications -- 3.3 Controlled Sampling -- 3.4 Multi-Phase Sampling: Ratio and Regression Estimation -- 3.5 Sampling on Successive Occasions and Panel Sampling -- 3.6 Non-Sampling Error and Non-Response Error Problems: Weighting Adjustments and Imputation Techniques -- Chapter 4: Super-Population Modeling and Its Various Uses -- 4.0 Summary -- 4.1 Super-Population Modeling -- 4.2 Linearization Technique -- 4.3 Small Area Estimation -- 4.4 Jack-Knife -- 4.5 Bootstrap in Finite Population Sampling 4.6 Balanced Repeated Replication (BRR) -- 4.7 Kriging or Spatial Prediction -- 4.8 Estimating Equations and Estimating Functions -- 4.9 Basu's (1971) Circus Example -- Chapter 5: Indirect Questioning in Sensitive Surveys -- 5.0 Summary -- 5.1 Randomized Response Techniques: General Sampling and Simple Random Sampling with Replacement -- 5.2 A Few Indirect Questioning Techniques Other than RRT's -- 5.3 Three More Indirect Questioning Techniques -- Chapter 6: Adaptive and Network Sampling -- 6.0 Summary -- 6.1 Adaptive Sampling -- 6.2 Network Sampling -- 6.3 A Live Problem and Application -- Chapter 7: Inadequate and Multiple Frames -- 7.0 Summary -- 7.1 Sampling from Inadequate Frames -- 7.2 Sampling from Multiple Frames -- 7.3 Conditional Inference -- Chapter 8: Analytic Studies -- 8.0 Summary -- 8.1 Analytic Studies, Tests of Goodness of Fit, Independence, Homogeneity, Regression and Categorical Analysis -- Chapter 9: Case Studies -- 9.0 Summary -- 9.1 Case Studies -- Chapter 10: Lessons and Exercises -- 10.0 Summary -- 10.1 Examples, Exercises and Riders with Complete and Hinted Solutions -- Chapter 11: Reviews -- 11.0 Summary -- 11.1 Reviews of Various Sampling Schemes -- Chapter 12: An Appraisal -- 12.0 Epilogue. An Appraisal of the Past, the Current and the Future Possibilities -- References -- Index |
| title | Survey Sampling |
| title_auth | Survey Sampling |
| title_exact_search | Survey Sampling |
| title_exact_search_txtP | Survey Sampling |
| title_full | Survey Sampling |
| title_fullStr | Survey Sampling |
| title_full_unstemmed | Survey Sampling |
| title_short | Survey Sampling |
| title_sort | survey sampling |
| work_keys_str_mv | AT chaudhuriarijit surveysampling |