A New Concept For Tuning Design Weights In Survey Sampling
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A New Concept for Tuning Design Weights in Survey Sampling by Sarjinder Singh,Stephen A. Sedory,Maria Del Mar Rueda,Antonio Arcos,Raghunath Arnab Pdf
A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques. Explains how to calibrate design weights in survey sampling Discusses how Jackknifing is needed in design weights in survey sampling Describes how design weights are imputed in survey sampling
Practical Tools for Designing and Weighting Survey Samples by Richard Valliant,Jill A. Dever,Frauke Kreuter Pdf
The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples. The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages. Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition: • Details on new functions in the PracTools package • Additional machine learning methods to form weighting classes • New coverage of nonlinear optimization algorithms for sample allocation • Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors • A new chapter on nonprobability sampling • Additional examples, exercises, and updated references throughout Richard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research’s report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal. She is founder of the International Program for Survey and Data Science and co-founder of the Coleridge Initiative.
Survey Sampling Theory and Applications by Raghunath Arnab Pdf
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
Leadership and Operational Indexes for Supply Chain Resilience by Maribel Mendoza Solis,Jorge Luis García Alcaraz,Juan Manuel Madrid Solórzano,Emilio Jiménez Macías Pdf
This book presents a novel approach for studying the impact of leadership styles on supply chain resilience using a combination of transactional and transformational leadership. The book consists of two main sections: The first introduces key concepts and provides a framework for understanding the research problem and methodology. The second section presents five structural equation models developed and validated using data collected from a survey of managers and engineers in the Mexican Maquiladora Industry. These models explore the relationships between key variables, such as agility, flexibility, alertness, and efficiency, and how they are affected by different leadership styles. The findings of this study suggest that a combination of transactional and transformational leadership is highly effective in enhancing resilience and achieving better results during disruptive events. Written in a clear and accessible style, this book is an essential resource for scholars, researchers, and practitioners interested in supply chain management, leadership, and resilience. It contributes to the existing literature on these topics and provides practical insights for improving supply chain performance in today's complex and dynamic business environments.
Best Practices in Lean Manufacturing by José Roberto Díaz-Reza,Jorge Luis García Alcaraz,Adrián Salvador Morales García Pdf
This book reports four structural equation models (SEM) for quantifying the relationship between the most important lean manufacturing (LM) practices applied to the manufacturing industry. The SEMs are evaluated using 220 responses to a survey applied to manufacturing companies applying LM principles in the production system and are related to: distribution and maintenance, production process and quality system, supply chain and quality, and an integrator model. The findings identify the most important activities for every LM practices and how they are related. These relationship’ values will help administrators, managers, engineers to focus their efforts on these most important activities, facilitating the decision-making process.
Impact Analysis of Total Productive Maintenance by José Roberto Díaz-Reza,Jorge Luis García-Alcaraz,Valeria Martínez-Loya Pdf
This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics to obtain a theoretical and empirical basis on the importance of TPM as a lean manufacturing tool in the context of industry 4.0.
Introduction to Survey Sampling by Graham Kalton Pdf
Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. Introduction to Survey Sampling, Second Edition provides an authoritative and accessible source on sample design strategies and procedures that is a required reading for anyone collecting or analyzing survey data. Graham Kalton discusses different types of probability samples, stratification (pre and post), clustering, dual frames, replicates, response, base weights, design effects, and effective sample size. It is a thorough revision and update of the first edition, published more than 35 years ago. Although the concepts of probability sampling are largely the same, there have been important developments in the application of these concepts as research questions have increasingly spanned multiple disciplines, computers have become central to data collection as well as data analysis, and cell phones have become ubiquitous, but response rates have fallen, and public willingness to engage in survey research has waned. While most of the volume focuses on probability samples, there is also a chapter on nonprobability samples, which are becoming increasingly important with the rise of social media and the world wide web.
Sample Surveys: Design, Methods and Applications by Anonim Pdf
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
Current Topics in Survey Sampling by D. Krewski,R. Platek,J. N. K. Rao Pdf
Current Topics in Survey Sampling contains all the invited papers as well as abstracts of the contributed papers presented at the International Symposium on Survey Sampling held at Carleton University in Ottawa, 7-9 May 1980. The topics covered here include nonsampling errors, current survey research activity, superpopulation models, variance estimation, and imputation techniques. The symposium was also dedicated to the memory of Professor William G. Cochran. The volume is organized into six parts. Part I includes papers by Cochran’s close colleagues. Part II contains three papers on nonsampling errors. These cover the creation of a unified discipline of survey research to serve as the basis for total survey design; a ""swapping algorithm"" for interviewer assignment to minimize the effect of nonsampling errors; and the question of whether census counts should be adjusted for underenumeration when determining federal transfer payments to the provinces. Part III describes research activities at four major survey organizations in North America: Research Triangle Institute, Statistics Canada, Survey Research Center of the University of Michigan, and U. S. Bureau of the Census. Part IV discusses the use of superpopulation models in survey design and inference. Part V tackles a number of different problems in variance estimation while Part VI deals with imputation techniques.
Author : Louis M. Rea,Richard A. Parker Publisher : John Wiley & Sons Page : 360 pages File Size : 50,6 Mb Release : 2014-07-30 Category : Political Science ISBN : 9781118767023
Designing and Conducting Survey Research by Louis M. Rea,Richard A. Parker Pdf
The industry standard guide, updated with new ideas and SPSSanalysis techniques Designing and Conducting Survey Research: A ComprehensiveGuide Fourth Edition is the industry standard resource thatcovers all major components of the survey process, updated toinclude new data analysis techniques and SPSS procedures withsample data sets online. The book offers practical, actionableguidance on constructing the instrument, administrating theprocess, and analyzing and reporting the results, providingextensive examples and worksheets that demonstrate the appropriateuse of survey and data techniques. By clarifying complexstatistical concepts and modern analysis methods, this guideenables readers to conduct a survey research project from initialfocus concept to the final report. Public and nonprofit managers with survey researchresponsibilities need to stay up-to-date on the latest methods,techniques, and best practices for optimal data collection,analysis, and reporting. Designing and Conducting SurveyResearch is a complete resource, answering the "what", "why",and "how" every step of the way, and providing the latestinformation about technological advancements in data analysis. Theupdated fourth edition contains step-by-step SPSS data entry andanalysis procedures, as well as SPSS examples throughout the text,using real data sets from real-world studies. Other new informationincludes topics like: Nonresponse error/bias Ethical concerns and special populations Cell phone samples in telephone surveys Subsample screening and complex skip patterns The fourth edition also contains new information on the growingimportance of focus groups, and places a special emphasis on dataquality including size and variability. Those who employ surveyresearch methods will find that Designing and Conducting SurveyResearch contains all the information needed to better design,conduct, and analyze a more effective survey.
An Introduction to Model-Based Survey Sampling with Applications by Ray Chambers,Robert Clark Pdf
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.
An introduction to the essentially mathematical principles of survey sampling as they are applied in practice. Intended for survey sampling theorists and practitioners, as a guide for those who may have to design and conduct a survey, and for those commissioning, organizing, and overseeing survey op
Estimation in Surveys with Nonresponse by Carl-Erik Särndal,Sixten Lundström Pdf
Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising trends in nonresponse, with loss of accuracy as an undesirable result. Whilst it is possible to reduce nonresponse to some degree, it cannot be completely eliminated. Estimation techniques that account systematically for nonresponse and at the same time succeed in delivering acceptable accuracy are much needed. Estimation in Surveys with Nonresponse provides an overview of these techniques, presenting the view of nonresponse as a normal (albeit undesirable) feature of a sample survey, one whose potentially harmful effects are to be minimised. Builds in the nonresponse feature of survey data collection as an integral part of the theory, both for point estimation and for variance estimation. Promotes weighting through calibration as a new and powerful technique for surveys with nonresponse. Highlights the analysis of nonresponse bias in estimates and methods to minimize this bias. Includes computational tools to help identify the best variables for calibration. Discusses the use of imputation as a complement to weighting by calibration. Contains guidelines for dealing with frame imperfections and coverage errors. Features worked examples throughout the text, using real data. The accessible style of Estimation in Surveys with Nonresponse will make this an invaluable tool for survey methodologists in national statistics agencies and private survey agencies. Researchers, teachers, and students of statistics, social sciences and economics will benefit from the clear presentation and numerous examples.
Essentials Of Survey Sampling by Arijit Chaudhuri Pdf
How the samples are allocated to strata or to clusters? Which is the best sampling method? How large a sample size should be? Will the sample provide the precision that we require? How the best results can be obtained at the lower cost? How to design and analyze different forms of sample surveys? The author focusses on using sampling techniques and ideas to solve real problems. This text includes different sampling methods and different sample allocation plans to create the powerful, cost effective survey sample design for your study. It covers a wide range of sampling methods simple random sampling, stratified sampling and cluster sampling. The book also describes the mathematics involved behind the confidence limits, ratio estimation, sample size and survey precision. Small area estimation, randomized response, network, adaptive sampling, control sampling and permanent random numbers are also discussed in addition to most of the classical topics.
Sample Surveys: Inference and Analysis by Anonim Pdf
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