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Survey Sampling Theory And Applications

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Survey Sampling Theory and Applications

Survey Sampling Theory and Applications Book
Author : Raghunath Arnab
Publisher : Academic Press
Release : 2017-03-08
ISBN : 0128118970
Language : En, Es, Fr & De

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Book Description :

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

Advanced Sampling Theory with Applications

Advanced Sampling Theory with Applications Book
Author : S. Singh
Publisher : Springer Science & Business Media
Release : 2013-01-07
ISBN : 9400707894
Language : En, Es, Fr & De

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Book Description :

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.

Survey Sampling

Survey Sampling Book
Author : Arijit Chaudhuri
Publisher : CRC Press
Release : 2018-09-28
ISBN : 149877475X
Language : En, Es, Fr & De

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Book Description :

This venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.

Advanced Sampling Theory With Applications

Advanced Sampling Theory With Applications Book
Author : Sarjinder Singh
Publisher : Springer Science & Business Media
Release : 2003
ISBN : 9781402017070
Language : En, Es, Fr & De

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Book Description :

A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.

Sampling Theory of Surveys with Applications

Sampling Theory of Surveys with Applications Book
Author : Pandurang V. Sukhatme,Balkrishna V. Sukhatme
Publisher : Wiley-Blackwell
Release : 1970
ISBN : 9780831816179
Language : En, Es, Fr & De

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Book Description :

Basic theory: simple random sampling; Sampling with varying probabilities; Stratified sampling; Ratio method of estimation; Regression method of estimation; Choice of sampling unit; Sub-sampling; Systematic sampling; Non-sampling errors.

Survey Sampling

Survey Sampling Book
Author : Arijit Chaudhuri,Horst Stenger
Publisher : CRC Press
Release : 2005-03-29
ISBN : 1420028634
Language : En, Es, Fr & De

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Book Description :

Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outst

An Introduction to Model Based Survey Sampling with Applications

An Introduction to Model Based Survey Sampling with Applications Book
Author : Ray Chambers,Robert Clark
Publisher : OUP Oxford
Release : 2012-01-12
ISBN : 0191627909
Language : En, Es, Fr & De

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Book Description :

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.

Sampling and Estimation from Finite Populations

Sampling and Estimation from Finite Populations Book
Author : Yves Tille
Publisher : John Wiley & Sons
Release : 2020-03-30
ISBN : 0470682051
Language : En, Es, Fr & De

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Book Description :

A much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions. Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of sampling Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks Reviews the problems of application of the theory into practice Also deals with the treatment of non sampling errors Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.

Sampling Theory and Applications

Sampling  Theory and Applications Book
Author : Stephen D. Casey,Kasso A. Okoudjou,Michael Robinson,Brian M. Sadler
Publisher : Birkhäuser
Release : 2021-05-21
ISBN : 9783030362935
Language : En, Es, Fr & De

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Book Description :

The chapters of this volume are based on talks given at the eleventh international Sampling Theory and Applications conference held in 2015 at American University in Washington, D.C. The papers highlight state-of-the-art advances and trends in sampling theory and related areas of application, such as signal and image processing. Chapters have been written by prominent mathematicians, applied scientists, and engineers with an expertise in sampling theory. Claude Shannon’s 100th birthday is also celebrated, including an introductory essay that highlights Shannon’s profound influence on the field. The topics covered include both theory and applications, such as: • Compressed sensing• Non-uniform and wave sampling• A-to-D conversion• Finite rate of innovation• Time-frequency analysis• Operator theory• Mobile sampling issues Sampling: Theory and Applications is ideal for mathematicians, engineers, and applied scientists working in sampling theory or related areas.

Model Assisted Survey Sampling

Model Assisted Survey Sampling Book
Author : Carl-Erik Särndal,Bengt Swensson,Jan Wretman
Publisher : Springer Science & Business Media
Release : 2003-10-31
ISBN : 9780387406206
Language : En, Es, Fr & De

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Book Description :

Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.

Introduction to Survey Sampling

Introduction to Survey Sampling Book
Author : Graham Kalton
Publisher : SAGE
Release : 1983-09
ISBN : 9780803921269
Language : En, Es, Fr & De

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Book Description :

Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.

Essentials of Statistics In Agricultural Sciences

Essentials of Statistics In Agricultural Sciences Book
Author : Pradeep Mishra,Fozia Homa
Publisher : CRC Press
Release : 2019-07-24
ISBN : 0429758987
Language : En, Es, Fr & De

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Book Description :

An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background. In the agriculture scenario, students and researchers face problems that can be addressed with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to using statistical software such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).

Sampling Theory and Practice

Sampling Theory and Practice Book
Author : Changbao Wu,Mary E. Thompson
Publisher : Springer Nature
Release : 2020-05-15
ISBN : 3030442462
Language : En, Es, Fr & De

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Book Description :

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.

Sampling Theory and Methods

Sampling Theory and Methods Book
Author : S. Sampath
Publisher : Alpha Science Int'l Ltd.
Release : 2005
ISBN : 9781842652145
Language : En, Es, Fr & De

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Book Description :

Sampling Theory and Methods presents in detail several sampling schemes like simple random sampling, unequal probability sampling methods, systematic, stratified, cluster and multistage sampling. In addition to sampling schemes a number of estimating methods which include ratio and regression estimators are also discussed. The use of superpopulation models is covered in detail along with recent developments including estimation of distribution functions, adaptive sampling schemes etc. New to the Second Edition: *Contents reorganized to establish a coherent link between various concepts *Several numerical examples associated with real life solutions for bringing out the relevance of theory in real life context

Advanced Sampling Methods

Advanced Sampling Methods Book
Author : Raosaheb Latpate,Jayant Kshirsagar,Vinod Kumar Gupta,Girish Chandra
Publisher : Springer Nature
Release : 2021-05-07
ISBN : 9811606226
Language : En, Es, Fr & De

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Book Description :

This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.

Multivariate Analysis Design of Experiments and Survey Sampling

Multivariate Analysis  Design of Experiments  and Survey Sampling Book
Author : Subir Ghosh
Publisher : CRC Press
Release : 1999-04-29
ISBN : 1482289822
Language : En, Es, Fr & De

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Book Description :

"Describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling. Features the work of nearly 50 international leaders."

Encyclopedia of Survey Research Methods

Encyclopedia of Survey Research Methods Book
Author : Paul J. Lavrakas
Publisher : SAGE Publications
Release : 2008-09-12
ISBN : 150631788X
Language : En, Es, Fr & De

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Book Description :

In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint.

Sample Surveys Design Methods and Applications

Sample Surveys  Design  Methods and Applications Book
Author : Anonim
Publisher : Elsevier
Release : 2009-08-31
ISBN : 9780080932217
Language : En, Es, Fr & De

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Book Description :

This new handbook 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 29A 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 29B 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 Discusses a wide variety of diverse applications Comprehensive bibliography

Maximum Likelihood Estimation for Sample Surveys

Maximum Likelihood Estimation for Sample Surveys Book
Author : Raymond L. Chambers,David G. Steel,Suojin Wang,Alan Welsh
Publisher : CRC Press
Release : 2012-05-02
ISBN : 1584886323
Language : En, Es, Fr & De

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Book Description :

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling. The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress. For less tractable models numerical methods are ultimately needed to compute the score and information functions and to compute the maximum likelihood estimates of the model parameters. For these models, the book shows what has to be done conceptually to develop analyses to the point that numerical methods can be applied. Designed for statisticians who are interested in the general theory of statistics, Maximum Likelihood Estimation for Sample Surveys is also aimed at statisticians focused on fitting models to sample survey data, as well as researchers who study relationships among variables and whose sources of data include surveys.

Distance Sampling Methods and Applications

Distance Sampling  Methods and Applications Book
Author : S. T. Buckland,E.A. Rexstad,T.A. Marques,C.S. Oedekoven
Publisher : Springer
Release : 2015-08-08
ISBN : 3319192191
Language : En, Es, Fr & De

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Book Description :

In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling. In the decade since the last book published, there have been a number of new developments. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while also including recent developments in method, software and application. Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying website. Some of the case studies use the software Distance, while others use R code. The book is in three parts. The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues. The second part develops a range of modelling approaches for distance sampling data. The third part describes variations in the basic method; discusses special issues that arise when sampling different taxa (songbirds, seabirds, cetaceans, primates, ungulates, butterflies, and plants); considers advances to deal with failures of the key assumptions; and provides a check-list for those conducting surveys.