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.

Sampling

Science & Math

Thompson, Steven K.

Mathematics

wiley

From the reviews of the First Edition: "A well-written book that deserves to be widely used, both by statistics teachers and by researchers." -Biometrics "The explanations are clear and concise, the presentation is extremely pleasing, the references are up to date, and there is an abundance of examples." -Short Book Reviews "This is a highly recommended acquisition for any statistician concerned with the collection of sample information." -Technometrics All aspects of obtaining, interpreting, and using sample data in a new revised volume 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 Second Edition's extensive new material includes descriptions of new developments, a wider range of approaches to common problems, historical notes, and increased coverage of topics such as methods that combine design and model-based approaches, adjusting for nonsampling errors, and the use of link-tracing designs. Updated chapters show how relevant sampling methods function within such fields as the biological, environmental, and geological sciences; social and health sciences; and sampling the Internet. Organized into six sections, this edition covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio estimators 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. Additional derivations, notes on underlying ideas, exercises, and examples foster a greater mastery of the presented techniques. New numerical examples, small-population examples, and exercises have been added. Featuring a wider range of topics than other sampling books, Sampling, Second Edition is the ideal reference for scientific researchers and other professionals who use sampling, as well as students in sampling courses.

Wiley-Interscience

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.

Sampling (Wiley Series in Probability and Statistics)

Offering a viable solution to the long-standing problem ofestimating the abundance of rare, clustered populations, adaptivesampling designs are rapidly gaining prominence in the natural andsocial sciences as well as in other fields with inherentlydifficult sampling situations. In marked contrast to conventionalsampling designs, in which the entire sample of units to beobserved is fixed prior to the survey, adaptive sampling strategiesallow for increased sampling intensity depending upon observationsmade during the survey. For example, in a survey to assess theabundance of a rare animal species, neighboring sites may be addedto the sample whenever the species is encountered during thesurvey. In an epidemiological survey of a contagious or geneticallylinked disease, sampling intensity may be increased wheneverprevalence of the disease is encountered. Written by two acknowledged experts in this emerging field, thisbook offers researchers their first comprehensive introduction toadaptive sampling. An ideal reference for statisticians conductingresearch in survey designs and spatial statistics as well asresearchers working in the environmental, ecological, publichealth, and biomedical sciences. Adaptive Sampling: * Provides a comprehensive, fully integrated introduction toadaptive sampling theory and practice * Describes recent research findings * Introduces readers to a wide range of adaptive samplingstrategies and techniques * Includes numerous real-world examples from environmentalpollution studies, surveys of rare animal and plant species,studies of contagious diseases, marketing surveys, mineral andfossil-fuel assessments, and more

Adaptive Sampling

Seber, George A.F.

Access 2000 is the database of choice for many small to medium businesses. Using Access in conjunction with VBA, VB or ASP it is possible to develop sophisticated systems for storing and manipulating business data. Office 2000 and Access 2000 offer many new features that can be used with VB to create great user interfaces and applications. This book concentrates on the issues involved with this type of development, and shows how to create database-driven internet and intranet applications with Access as the underlying datastore.

Professional Access 2000 Programming

Computers & Technology

Turley, Paul

Sussman, David

Dewson, Robin

Martins, Felipe

Hanselman, Scott

Matsik, Brian

Hatfield, Hope

Johnson, Trey

Liske, David

Salguero, Dennis

Shelby, Kevin

Slager, David

Townsend, Roberta

Watson, Helmut

Programming Languages

Apress

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