Modern Sampling Theory

Modern Sampling Theory PDF Author: John J. Benedetto
Publisher:
ISBN: 9783764340230
Category : Sampling (Statistics)
Languages : en
Pages : 417

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Book Description

Modern Sampling Theory

Modern Sampling Theory PDF Author: John J. Benedetto
Publisher:
ISBN: 9783764340230
Category : Sampling (Statistics)
Languages : en
Pages : 417

Get Book

Book Description


Modern Sampling Theory

Modern Sampling Theory PDF Author: John J. Benedetto
Publisher: Springer Science & Business Media
ISBN: 1461201438
Category : Mathematics
Languages : en
Pages : 423

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Book Description
A state-of-the-art edited survey covering all aspects of sampling theory. Theory, methods and applications are discussed in authoritative expositions ranging from multi-dimensional signal analysis to wavelet transforms. The book is an essential up-to-date resource.

Modern Sampling Theory

Modern Sampling Theory PDF Author: John Benedetto
Publisher: Birkhauser
ISBN: 9783764340230
Category : Sampling (Statistics)
Languages : en
Pages : 417

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Modern Sampling Methods

Modern Sampling Methods PDF Author: Palmer Oliver Johnson
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 106

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Book Description


Modern Sampling Methods

Modern Sampling Methods PDF Author: Palmer O. Johnson
Publisher:
ISBN: 9780758120045
Category :
Languages : en
Pages : 87

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Book Description


Elements of Large-Sample Theory

Elements of Large-Sample Theory PDF Author: E.L. Lehmann
Publisher: Springer Science & Business Media
ISBN: 0387227296
Category : Mathematics
Languages : en
Pages : 640

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Book Description
Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level making it accessible to most readers.

Survey Sampling

Survey Sampling PDF Author: Arijit Chaudhuri
Publisher: CRC Press
ISBN: 149877475X
Category : Mathematics
Languages : en
Pages : 241

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Book Description
This venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.

Model Assisted Survey Sampling

Model Assisted Survey Sampling PDF Author: Carl-Erik Särndal
Publisher: Springer Science & Business Media
ISBN: 9780387406206
Category : Mathematics
Languages : en
Pages : 716

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Book Description
Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.

Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory

Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory PDF Author: I.B. MacNeill
Publisher: Springer Science & Business Media
ISBN: 9789027723932
Category : Mathematics
Languages : en
Pages : 368

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Book Description
On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro fessor V. M. Joshi. These symposia were chosen to reflect Professor Joshi's research interests as well as areas of expertise in statistical science among faculty in the Departments of Statistical and Actuarial Sciences, Economics, Epidemiology and Biostatistics, and Philosophy. From these symposia, the six volumes which comprise the "Joshi Festschrift" have arisen. The 117 articles in this work reflect the broad interests and high quality of research of those who attended our conference. We would like to thank all of the contributors for their superb cooperation in helping us to complete this project. Our deepest gratitude must go to the three people who have spent so much of their time in the past year typing these volumes: Jackie Bell, Lise Constant, and Sandy Tarnowski. This work has been printed from "carnera ready" copy produced by our Vax 785 computer and QMS Lasergraphix printers, using the text processing software TEX. At the initiation of this project, we were neophytes in the use of this system. Thank you, Jackie, Lise, and Sandy, for having the persistence and dedication needed to complete this undertaking.

Sampling

Sampling PDF 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.