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Sampling by Thompson, Steven K.

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eBay item number:335336688868
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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Sampling
ISBN
9780470402313
Subject Area
Mathematics
Publication Name
Sampling
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.4 in
Subject
Probability & Statistics / General
Publication Year
2012
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
Steven K. Thompson
Item Weight
27.3 Oz
Item Width
6.3 in
Number of Pages
472 Pages

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470402318
ISBN-13
9780470402313
eBay Product ID (ePID)
109072383

Product Key Features

Number of Pages
472 Pages
Language
English
Publication Name
Sampling
Subject
Probability & Statistics / General
Publication Year
2012
Type
Textbook
Author
Steven K. Thompson
Subject Area
Mathematics
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
27.3 Oz
Item Length
9.4 in
Item Width
6.3 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
LCCN
2011-028944
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.52
Synopsis
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., 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., 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., 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.
LC Classification Number
QA276.6

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