Download or read book Inferential Problems in Survey Sampling written by Parimal Mukhopadhyay and published by New Age International. This book was released on 1996 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Provides A Comprehensive Account Of Survey Sampling Theory In Fixed Population Approach And Model Based Approach. After Making A Critical Review Of Different Results In Fixed Population Set Up It Shows How Super Population Models Can Be Exploited To Produce Optimal And Robust Sampling Strategies, Specially In Large Scale Sample Surveys. The Central Theme Of The Book Is The Use Of Super Population Models In Making Inference From Sample Surveys. The Book Also Gives Suitable Emphasis On Different Practical Aspects, Like Choice Of Sampling Designs, Variance Estimation, Different Replication And Resampling Procedures.The Author Has Taken Care To Presuppose Nothing More On The Part Of The Reader Than A First Course In Statistical Inference, Sampling Theory And Regression Analysis. He Has Systematically Arranged The Main Results, Supplied Short Proofs, Examples, Explanatory Notes And Remarks And Indicated Research Areas. The Book Will Be Very Useful To Researchers. The Survey Practitioners Will Also Find Some Part Of The Book Very Helpful.

Download or read book Sample Surveys Inference and Analysis written by and published by Morgan Kaufmann. This book was released on 2009-09-02 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Statistics_29B contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 1 deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 2 is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. - Comprehensive account of recent developments in sample survey theory and practice - Covers a wide variety of diverse applications - Comprehensive bibliography

Download or read book Handbook of Statistics 29B Sample Surveys Inference and Analysis written by and published by Elsevier. This book was released on 2000 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sampling Theory and Practice written by Changbao Wu and published by Springer Nature. This book was released on 2020-05-15 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Topics in Survey Sampling written by Parimal Mukhopadhyay and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to make a comprehensive review on some of the research topics in the area of survey sampling which has not been covered in any book yet. The proposed book aims at making a comprehensive review of applications of Bayes procedures, Empirical Bayes procedures and their ramifications (like linear Bayes estimation, restricted Bayes least square prediction, constrained Bayes estimation, Bayesian robustness) in making inference from a finite population sampling. Parimal Mukhopadhyay is Professor at the Indian Statistical Institute (ISI), Calcutta. He received his Ph.D. degree in Statistics from the University of Calcutta in 1977. He also served as a faculty member in the University of Ife, Nigeria, Moi University, Kenya, University of South Pacific, Fiji Islands and held visiting positions at University of Montreal, University of Windsor, Stockholm University, University of Western Australia, etc. He has to his credit more than fifty research papers in Survey Sampling, some co-authored, three text books on Statistics and three research monographs in Survey Sampling. He is a member of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute.

Download or read book An Introduction to Model Based Survey Sampling with Applications written by Ray Chambers and published by OUP Oxford. This book was released on 2012-01-12 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.

Download or read book THEORY AND METHODS OF SURVEY SAMPLING written by PARIMAL MUKHOPADHYAY and published by PHI Learning Pvt. Ltd.. This book was released on 2008-12-19 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive exposition of survey sampling useful both to the students of statistics for the course on sample survey and to the survey statisticians and practitioners involved in consultancy services, marketing, opinion polls, and so on. The text offers updated review of difficult classical techniques of survey sampling, besides covering prediction-theoretic approach of survey sampling and nonsampling errors. NEW TO THIS EDITION Two new chapters—Nonparametric Methods of Variance Estimation (Chapter 19) and Analysis of Complex Surveys (Chapter 20)—have been added. These would greatly benefit the readers. KEY FEATURES  Covers concepts of unequal probability sampling.  Provides problems of making inference from finite population using tools of classical inference.  Describes nonsampling errors including Randomised Response Techniques.  Gives over 70 worked-out examples and more than 120 problems and solutions.  Supplies live data from India and Sweden—in examples and exercises. What the Reviewer says: This is a very comprehensive modern text on survey sampling with a strong slant towards theoretical results. The book is an excellent reference book and would be a good graduate level sampling text for a course with an emphasis on sampling theory. — JESSE C. ARNOLD, Virginia Polytechnic Institute and State University

Download or read book Complex Surveys written by Parimal Mukhopadhyay and published by Springer. This book was released on 2016-05-21 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. The importance of sample surveys today cannot be overstated. From voters’ behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex survey designs like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed – an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades.

Download or read book Advanced Sampling Theory with Applications written by S. Singh and published by Springer Science & Business Media. This book was released on 2013-01-07 with total page 1242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a multi-purpose document. It can be used as a text by teachers, as a reference manual by researchers, and as a practical guide by statisticians. It covers 1165 references from different research journals through almost 1900 citations across 1194 pages, a large number of complete proofs of theorems, important results such as corollaries, and 324 unsolved exercises from several research papers. It includes 159 solved, data-based, real life numerical examples in disciplines such as Agriculture, Demography, Social Science, Applied Economics, Engineering, Medicine, and Survey Sampling. These solved examples are very useful for an understanding of the applications of advanced sampling theory in our daily life and in diverse fields of science. An additional 173 unsolved practical problems are given at the end of the chapters. University and college professors may find these useful when assigning exercises to students. Each exercise gives exposure to several complete research papers for researchers/students.

Download or read book Sampling Spatial Units for Agricultural Surveys written by Roberto Benedetti and published by Springer. This book was released on 2015-03-20 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production for harvests across different regions and countries. With the help of real and simulated examples performed with the open-source software R, readers will learn about the different phases of spatial data collection. The agricultural data analyzed in this book help policymakers and market stakeholders to monitor the production of agricultural goods and its effects on environment and food safety.

Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Download or read book Survey Sampling Theory and Applications written by Raghunath Arnab and published by Academic Press. This book was released on 2017-03-08 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. - Covers a wide spectrum of topics on survey sampling and statistics - Serves as an ideal text for graduate students and researchers in survey sampling theory and applications - Contains material on recent developments in survey sampling not covered in other books - Illustrates theories using numerical examples and exercises

Download or read book Biased Sampling Over identified Parameter Problems and Beyond written by Jing Qin and published by Springer. This book was released on 2017-06-14 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research, including Medicine, Epidemiology and Public Health, the Social Sciences and Economics. The book addresses a range of important topics, including case and control studies, causal inference, missing data problems, meta-analysis, renewal process and length biased sampling problems, capture and recapture problems, case cohort studies, exponential tilting genetic mixture models etc. The goal of this book is to make it easier for Ph. D students and new researchers to get started in this research area. It will be of interest to all those who work in the health, biological, social and physical sciences, as well as those who are interested in survey methodology and other areas of statistical science, among others.

Download or read book The SAGE Handbook of Public Opinion Research written by Wolfgang Donsbach and published by SAGE. This book was released on 2007-12-18 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′Some of the most experienced and thoughtful research experts in the world have contributed to this comprehensive Handbook, which should have a place on every serious survey researcher′s bookshelf′ - Sir Robert Worcester, Founder of MORI and President of WAPOR ′82-′84. ′This is the book I have been waiting for. It not only reflects the state of the art, but will most likely also shape public opinion on public opinion research′ - Olof Petersson, Professor of political science, SNS, Stockholm, Sweden ′The Handbook of Public Opinion Research is very authoritative, well organized, and sensitive to key issues in opinion research around the world. It will be my first choice as a general reference book for orienting users and training producers of opinion polls in Southeast Asia′ - Mahar K. Mangahas, Ph.D., President of Social Weather Stations, Philippines (www.sws.org.ph) ′This is the most comprehensive book on public opinion research to date′ - Robert Ting-Yiu Chung, Secretary-Treasurer, World Association for Public Opinion Research (WAPOR); Director of Public Opinion Programme, The University of Hong Kong Public opinion theory and research are becoming increasingly significant in modern societies as people′s attitudes and behaviours become ever more volatile and opinion poll data becomes ever more readily available. This major new Handbook is the first to bring together into one volume the whole field of public opinion theory, research methodology, and the political and social embeddedness of polls in modern societies. It comprehensively maps out the state-of-the-art in contemporary scholarship on these topics. With over fifty chapters written by distinguished international researchers, both academic and from the commercial sector, this Handbook is designed to: - give the reader an overview of the most important concepts included in and surrounding the term ′public opinion′ and its application in modern social research - present the basic empirical concepts for assessing public opinion and opinion changes in society - provide an overview of the social, political and legal status of public opinion research, how it is perceived by the public and by journalists, and how it is used by governments - offer a review of the role and use of surveys for selected special fields of application, ranging from their use in legal cases to the use of polls in marketing and campaigns. The Handbook of Public Opinion Research provides an indispensable resource for both practitioners and students alike.

Download or read book An Introduction to Estimating Functions written by Parimal Mukhopadhyay and published by Alpha Science Int'l Ltd.. This book was released on 2004 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of estimating functions plays a major role in analysis of data pertaining to Biostatistics, Econometrics, Time Series Analysis, Reliability studies and other varied fields. This book discusses at length the application of the theory in interpretation of results in Survey Sampling.

Download or read book Analysis of Survey Data written by R. L. Chambers and published by John Wiley & Sons. This book was released on 2003-08-01 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.

Download or read book Ecological Inference written by Gary King and published by Cambridge University Press. This book was released on 2004-09-13 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays offers many fresh and important contributions to the study of ecological inference.