Measurement Error Models by Wayne A. Fuller
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Measurement Error Models
By Wayne A. Fuller

Measurement Error Models

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Format: Paperback

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Measurement Error Models by Wayne A. Fuller

Book Description

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The effort of Professor Fuller is commendable ...[the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries." -Biometrics "Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller's book is most welcome. Anyone with an interest in the subject should certainly have this book." -Journal of the American Statistical Association "The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection." -Technometrics " ...this book is a remarkable achievement and the product of impressive top-grade scholarly work." -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and for models with unequal variances. The estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals are addressed, and in addition, procedures are illustrated with data drawn from nearly twenty real data sets.

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Book Details

ISBN: 9780470095713
ISBN-10: 0470095717
Format: Paperback
(233mm x 158mm x 25mm)
Pages: 440
Imprint: John Wiley & Sons Inc
Publisher: John Wiley and Sons Ltd
Publish Date: 1-Sep-2006
Country of Publication: United States

Other Editions...


Books By Author Wayne A. Fuller

Sampling Statistics by Wayne A. Fuller Sampling Statistics, Hardback (September 2009)

Providing a thorough and comprehensive treatment of sampling theory, methods, and current topics of interest, Sampling Statistics features the latest developments and current practices in survey sampling. The book introduces basic sampling concepts to facilitate the application of model-based procedures to survey samples.

Introduction to Statistical Time Series by Wayne A. Fuller Introduction to Statistical Time Series, Hardback (April 1996)

This second edition covers new developments in the analysis of statistical time series since the 1st edition was published in 1976. There is a considerable expansion of material, including added discussion of central limit theorems, estimation and generalized least squares.

» View all books by Wayne A. Fuller

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Author Biography - Wayne A. Fuller

WAYNE A. FULLER, PhD, is Distinguished Professor Emeritus in the Department of Economics at Iowa State University. He is a Fellow of the American Statistical Association, Econometric Society, and Institute of Mathematical Statistics, and he is also a member of the International Statistical Institute.

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