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Author: Ranjan K. Som
Publisher: CRC Press
ISBN: 9780824796761
Category : Mathematics
Languages : en
Pages : 676
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Book Description
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Author: Ranjan K. Som
Publisher: CRC Press
ISBN: 9780824796761
Category : Mathematics
Languages : en
Pages : 676
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Book Description
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Author: Gary T. Henry
Publisher: SAGE Publications
ISBN: 1506320341
Category : Social Science
Languages : en
Pages : 150
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Book Description
Sampling is fundamental to nearly every study in the social and policy sciences, yet clear, concise guidance for practitioners and graduate students has been difficult to find. Practical Sampling provides guidance for researchers dealing with the everyday problems of sampling. Using the practical design approach Henry integrates sampling into the overall research design and explains the interrelationships between research design and sampling choices. He lays out alternatives and implications of the choices using four detailed examples to illustrate the alternatives selected and the trade-offs made by applied researchers. The author uses a narrative, conceptual approach throughout the book; mathematical presentations are limited to necessary formulas; and calculations are kept to the absolute minimum, making it an easily approachable book for any researcher, student or professional across the social sciences.
Author: Edward G. Schilling
Publisher: CRC Press
ISBN: 1498733581
Category : Business & Economics
Languages : en
Pages : 883
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Book Description
Acceptance Sampling in Quality Control, Third Edition presents the state of the art in the methodology of sampling while integrating both theory and best practices. It discusses various standards, including those from the ISO, MIL-STD and ASTM and explores how to set quality levels. The book also includes problems at the end of each chapter with solutions. This edition improves upon the previous editions especially in the areas of software applications and compliance sampling plans. New to the Third Edition: Numerous Microsoft Excel templates to address sampling plans are used. Commercial software applications are discussed at the end of many chapters. Discussion of quick switching systems has been expanded to account for the considerable recent activity in this area. Added discussion of zero acceptance number chained quick switching systems.
Author: Changbao Wu
Publisher: Springer Nature
ISBN: 3030442462
Category : Social Science
Languages : en
Pages : 371
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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.
Author: Johnnie Daniel
Publisher: SAGE
ISBN: 1452238405
Category : Social Science
Languages : en
Pages : 321
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Book Description
Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as whether to choose a census or a sample, as well as how to select sample size and sample type. Intended for students and researchers in the social and behavioral sciences, public health research, marketing research, and related areas, the text provides nonstatisticians with the concepts and techniques they need to do quality work and make good sampling choices.
Author: Steven K. Thompson
Publisher: John Wiley & Sons
ISBN: 0470402318
Category : Mathematics
Languages : en
Pages : 470
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Book Description
Praise for the Second Edition "This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of this book." —Technometrics "Well-written . . . an excellent book on an important subject. Highly recommended." —Choice "An ideal reference for scientific researchers and other professionals who use sampling." —Zentralblatt Math Features new developments in the field combined with all aspects of obtaining, interpreting, and using sample data Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs. Featuring a broad range of topics, Sampling, Third Edition serves as a valuable reference on useful sampling and estimation methods for researchers in various fields of study, including biostatistics, ecology, and the health sciences. The book is also ideal for courses on statistical sampling at the upper-undergraduate and graduate levels.
Author: Patricia B. Coleman
Publisher: CRC Press
ISBN: 9780849342035
Category : Science
Languages : en
Pages : 320
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Book Description
Practical Sampling Techniques for Infrared Analysis provides a single-source guide to sample handling for routine analysis in infrared spectroscopy using commercially available instrumentation and accessories. Following a review of infrared spectroscopic theory, chapters consider individual techniques such as transmission methodology (e.g., solution cells, KBr pellets), internal reflectance, diffuse reflectance, photoacoustic FT-IR, infrared microscopy, GC/FT-IR, and quantitative analysis. In addition, two chapters elaborate on both typical and unusual samples and problems encountered in industrial laboratories and the process by which a spectroscopist chooses the most effective technique. Various short courses on infrared analysis are also listed. Practical Sampling Techniques for Infrared Analysis will be an important guide for all professional analytical chemists and technicians.
Author: Arthur J. Wilburn
Publisher: CRC Press
ISBN: 9780824771249
Category : Technology & Engineering
Languages : en
Pages : 432
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Book Description
In a clear, readable style, this timely volume provides the information needed to design and execute audit samples for the appraisal, evaluation, and validation of financial and accounting data. With this material, auditors and analysts can accomplish such required functions as evaluating program performance and determining the reliability of financial records and statements more quickly and accurately. Designed as a practical, reliable, on-the-job reference -- with a minimum of statistical theory and formulas -- Practical Statistical Sampling for Auditors blends statistical sampling with other acceptable auditing techniques ... emphasizes the significance of error analysis and audit appraisal ... examines audit and statistical stratification ... advocates the use of minimum samples ... emphasizes the use of replication to support audit decisions ... and outlines the advantages and limitations of various audit sampling schemes. Further, Practical Statistical Sampling for Auditors offers such handy features as chapter summaries, computer printouts, real-life examples, a time-saving table of minimum sample sizes, an easy-to-use glossary, a detailed index, and numerous literature citations, helping auditors; accountants; program, budget, and management analysts; comptrollers; and financial managers to apply statistical methods in consonance with Auditing Standards. Book jacket.
Author: Sharon L. Lohr
Publisher: CRC Press
ISBN: 1000022080
Category : Mathematics
Languages : en
Pages : 611
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Book Description
This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.
Author: Alfred R. Conklin, Jr.
Publisher: CRC Press
ISBN: 1351990551
Category : Science
Languages : en
Pages : 390
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Book Description
Written by a renowned professional with more than 30 years of experience in environmental sampling and analysis, this reference describes in unparalleled detail all the essential elements for the development and execution of a successful sampling plan at both contaminated and uncontaminated sites. The book covers presampling planning and decision-making, specific sampling situations, and correct sample labeling, and presents the framework and background for the sampling of any contaminated site. Presenting a wide variety of models, quality control procedures, and valuable troubleshooting methods, Field Sampling contains an abundance of topics never before covered in any other source.
