東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Sampling theory and practice

Wu, Changbao.

FindBook

Google Book

Amazon

博客來

Sampling theory and practice

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sampling theory and practice/ by Changbao Wu, Mary E. Thompson.
作者:	Wu, Changbao.
其他作者:	Thompson, Mary E.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xx, 365 p. :ill., digital ;24 cm.
內容註:	Part I Basic Concepts and Methods in Survey Sampling -- Chapter 1 Basic Concepts in Survey Sampling -- Chapter 2 Simple Single-Stage Sampling Methods -- Chapter 3 Stratified Sampling and Cluster Sampling -- Chapter 4 General Theory and Methods of Unequal Probability Sampling -- Chapter 5 Model-Based Prediction and Model-Assisted Estimation -- Part II Advanced Topics on Analysis of Probability Survey Samples -- Chapter 6 Calibration Weighting and Estimation -- Chapter 7 Regression Analysis and Estimating Equations -- Chapter 8 Empirical Likelihood Methods -- Chapter 9 Methods for Handling Missing Data -- Chapter 10 Resampling and Replication Methods -- Chapter 11 Bayesian Empirical Likelihood Methods -- Part III Practical Issues and Special Topics in Survey Sampling -- Chapter 12 Area Frame Household Surveys -- Chapter 13 Telephone and Web Surveys -- Chapter 14 Natural Resource Inventory Surveys -- Chapter 15 Adaptive and Network Surveys -- Chapter 16 Dual Frame and Multiple Frame Surveys -- Chapter 17 Non-Probability Survey Samples -- References -- Appendix -- Index.
Contained By:	Springer eBooks
標題:	Sampling (Statistics) -
電子資源:	https://doi.org/10.1007/978-3-030-44246-0
ISBN:	9783030442460

Sampling theory and practice
Wu, Changbao.

Sampling theory and practice[electronic resource] /by Changbao Wu, Mary E. Thompson. - Cham :Springer International Publishing :2020. - xx, 365 p. :ill., digital ;24 cm. - ICSA book series in statistics,2199-0980. - ICSA book series in statistics..

Part I Basic Concepts and Methods in Survey Sampling -- Chapter 1 Basic Concepts in Survey Sampling -- Chapter 2 Simple Single-Stage Sampling Methods -- Chapter 3 Stratified Sampling and Cluster Sampling -- Chapter 4 General Theory and Methods of Unequal Probability Sampling -- Chapter 5 Model-Based Prediction and Model-Assisted Estimation -- Part II Advanced Topics on Analysis of Probability Survey Samples -- Chapter 6 Calibration Weighting and Estimation -- Chapter 7 Regression Analysis and Estimating Equations -- Chapter 8 Empirical Likelihood Methods -- Chapter 9 Methods for Handling Missing Data -- Chapter 10 Resampling and Replication Methods -- Chapter 11 Bayesian Empirical Likelihood Methods -- Part III Practical Issues and Special Topics in Survey Sampling -- Chapter 12 Area Frame Household Surveys -- Chapter 13 Telephone and Web Surveys -- Chapter 14 Natural Resource Inventory Surveys -- Chapter 15 Adaptive and Network Surveys -- Chapter 16 Dual Frame and Multiple Frame Surveys -- Chapter 17 Non-Probability Survey Samples -- References -- Appendix -- Index.

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.

ISBN: 9783030442460

Standard No.: 10.1007/978-3-030-44246-0doiSubjects--Topical Terms:

545623
Sampling (Statistics)

LC Class. No.: QA276.6 / .W834 2020

Dewey Class. No.: 519.52

Sampling theory and practice
LDR:04222nmm a2200337 a 4500 001 2255335
003 DE-He213
005 20201007133342.0
006 m d
007 cr nn 008maaau
008 220419s2020 sz s 0 eng d
020 $a 9783030442460 $q (electronic bk.)
020 $a 9783030442446 $q (paper)
024 7 $a 10.1007/978-3-030-44246-0 $2 doi
035 $a 978-3-030-44246-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.6 $b .W834 2020
072 7 $a JHBC $2 bicssc
072 7 $a SOC027000 $2 bisacsh
072 7 $a JHBC $2 thema
082 0 4 $a 519.52 $2 23
090 $a QA276.6 $b .W959 2020
100 1 $a Wu, Changbao. $3 3524850
245 1 0 $a Sampling theory and practice $h [electronic resource] / $c by Changbao Wu, Mary E. Thompson.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xx, 365 p. : $b ill., digital ; $c 24 cm.
490 1 $a ICSA book series in statistics, $x 2199-0980
505 0 $a Part I Basic Concepts and Methods in Survey Sampling -- Chapter 1 Basic Concepts in Survey Sampling -- Chapter 2 Simple Single-Stage Sampling Methods -- Chapter 3 Stratified Sampling and Cluster Sampling -- Chapter 4 General Theory and Methods of Unequal Probability Sampling -- Chapter 5 Model-Based Prediction and Model-Assisted Estimation -- Part II Advanced Topics on Analysis of Probability Survey Samples -- Chapter 6 Calibration Weighting and Estimation -- Chapter 7 Regression Analysis and Estimating Equations -- Chapter 8 Empirical Likelihood Methods -- Chapter 9 Methods for Handling Missing Data -- Chapter 10 Resampling and Replication Methods -- Chapter 11 Bayesian Empirical Likelihood Methods -- Part III Practical Issues and Special Topics in Survey Sampling -- Chapter 12 Area Frame Household Surveys -- Chapter 13 Telephone and Web Surveys -- Chapter 14 Natural Resource Inventory Surveys -- Chapter 15 Adaptive and Network Surveys -- Chapter 16 Dual Frame and Multiple Frame Surveys -- Chapter 17 Non-Probability Survey Samples -- References -- Appendix -- Index.
520 $a The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.
650 0 $a Sampling (Statistics) $3 545623
650 1 4 $a Statistics for Social Sciences, Humanities, Law. $3 3382004
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 3382132
700 1 $a Thompson, Mary E. $3 3524851
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a ICSA book series in statistics. $3 2153476
856 4 0 $u https://doi.org/10.1007/978-3-030-44246-0
950 $a Mathematics and Statistics (Springer-11649)