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. 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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Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Binding: Paperback
Product Group: Book
Weight: 1 lbs
Subject: Mathematics
IsTextBook: No
Item Length: 9.2in.
Item Height: 1in.
Item Width: 6.1in.
Author: Wayne A. Fuller
Publication Name: Measurement Error Models
Format: Perfect
Language: English
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2006
Series: Wiley Series in Probability and Statistics Ser.
Type: Textbook
Item Weight: 22.6 Oz
Number of Pages: 440 Pages