sampling

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Sampling

Author : Steven K. Thompson
ISBN : 9781118162941
Genre : Mathematics
File Size : 28. 20 MB
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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.

Some Theory Of Sampling

Author : William Edwards Deming
ISBN : 048664684X
Genre : Mathematics
File Size : 23. 40 MB
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An analysis of the problems, theory, and design of sampling techniques; assumes only college-level algebra. "The 'bible' of sampling statisticians." ? American Statistical Association Journal. 1950 edition.

Sampling Design And Analysis

Author : Sharon L. Lohr
ISBN : 9780495105275
Genre : Mathematics
File Size : 90. 57 MB
Format : PDF, Kindle
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Sharon L. Lohr's SAMPLING: DESIGN AND ANALYSIS, 2ND EDITION, provides a modern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of prominent surveying organizations. Lohr concentrates on the statistical aspects of taking and analyzing a sample, incorporating a multitude of applications from a variety of disciplines. The text gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Recent research on theoretical and applied aspects of sampling is included, as well as optional technology instructions for using statistical software with survey data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Practical Sampling Techniques Second Edition

Author : Ranjan K. Som
ISBN : 0824796764
Genre : Mathematics
File Size : 57. 32 MB
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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.

Sampling

Author : Steven K. Thompson
ISBN : STANFORD:36105000420112
Genre : Mathematics
File Size : 28. 83 MB
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Covers both classical and modern sampling design and estimation methods, focusing on methods for populations that are difficult to sample--elusive, rare, clustered or hard to detect. Divided into six parts, it covers basic sampling from simple random to unequal probability sampling; treats the use of auxiliary data with ratio and regression estimation and looks at the ideas of sufficient data and of model and design in practical sampling; discusses major useful designs, including stratified, cluster, systematic, multi-stage, double and network sampling; examines detectability methods for elusive populations; explains spatial sampling; and introduces adaptive sampling designs. Each chapter contains exercises with answers provided in the appendix.

Practical Sampling

Author : Gary T. Henry
ISBN : 0803929595
Genre : Social Science
File Size : 36. 17 MB
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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 and sampling choices. The style is concise and narrative; mathematical presentations are limited to necessary formulas; and calculations are kept to the absolute minimum, making it very approachable for any researcher.

Sampling Essentials

Author : Johnnie Daniel
ISBN : 9781452238401
Genre : Social Science
File Size : 20. 48 MB
Format : PDF
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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.

Sampling

Author : Morris James Slonim
ISBN : STANFORD:36105004553272
Genre : Sampling (Statistics)
File Size : 67. 27 MB
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Advanced Sampling Theory With Applications

Author : S. Singh
ISBN : 9789400707894
Genre : Medical
File Size : 58. 50 MB
Format : PDF
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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.

Sampling Theory And Methods

Author : S. Sampath
ISBN : 1842652141
Genre : Business & Economics
File Size : 85. 50 MB
Format : PDF, ePub
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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

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