Description: Measurement Error : Models, Methods and Applications, Hardcover by Buonaccorsi, John P., ISBN 1420066560, ISBN-13 9781420066562, Like New Used, Free shipping in the US Buonaccorsi (mathematics and statistics, U. of Massachusetts) offers an overview of the strategies used for dealing with measurement error in complex models and the use of extra data to estimate measurement error parameters. The overview examines the primary techniques and their applications on various models. It also describes the impact of measurement errors and ways to correct them in several statistical models. Specific topics include: misclassification in estimating a proportion, simple and multiple linear regression, binary regression, and nonlinear regression. Annotation ©2010 Book News, Inc., Portland, OR ()
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Book Title: Measurement Error : Models, Methods and Applications
Number of Pages: 464 Pages
Publication Name: Measurement Error : Models, Methods, and Applications
Language: English
Publisher: CRC Press LLC
Item Height: 1.1 in
Subject: Numerical Analysis, Probability & Statistics / General
Publication Year: 2010
Item Weight: 28.9 Oz
Type: Textbook
Item Length: 9.5 in
Subject Area: Mathematics
Author: John P. Buonaccorsi
Series: Chapman and Hall/Crc Interdisciplinary Statistics Ser.
Item Width: 6.4 in
Format: Hardcover
