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Home > Mathematics and Science Textbooks > Biology, life sciences > Measurement Error: Models, Methods, and Applications(Chapman & Hall/CRC Interdisciplinary Statistics)
Measurement Error: Models, Methods, and Applications(Chapman & Hall/CRC Interdisciplinary Statistics)

Measurement Error: Models, Methods, and Applications(Chapman & Hall/CRC Interdisciplinary Statistics)


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About the Book

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and illu

Table of Contents:
Introduction. Misclassification in Estimating a Proportion. Misclassification in Two-Way Tables. Simple Linear Regression. Multiple Linear Regression. Measurement Error in Regression: A General Overview. Binary Regression. Linear Models with Nonadditive Error. Nonlinear Regression. Error in the Response. Mixed/Longitudinal Models. Time Series. Background Material. References. Indices.

About the Author :

John P. Buonaccorsi is a professor in the Department of Mathematics and Statistics at the University of Massachusetts, Amherst.



Review :
! we think Buonaccorsi's book would be a great textbook ! The book also contains many interesting data examples, which are useful for those concerned with applications. Overall, the book is also a good reference resource ! We would recommend this book to people who are interested in statistical methods for measurement error. --C.Y. Wang and X. Song, The American Statistician, August 2011 This book is a successful attempt to collect, organize and present the literature over the newly developed and earlier existing topics of measurement error models in one place. !The material that is presented in chapters [11 and 12] is, to my knowledge, not available in any other book on this area. ! This book should be of immense help to those who are interested in the theoretical as well as applied aspects of measurement error models. ! Some topics in the book may be used to teach advanced graduate courses. ! The book is overall well written, presents updated developments in the area of measurement error models and is an excellent guide to applications. I am sure that it will stimulate researchers in and newcomers to this area. --Journal of the Royal Statistical Society, Series A, April 2011 There are plenty of illustrations and worked examples throughout ! The book is very readable and clearly demonstrates the importance of recognizing measurement error, which is often ignored as a bit of a nuisance to be swept under the carpet. Together with easily accessible software, in the future, the problem is likely to be more commonly addressed and dealt with properly. --International Statistical Review (2010), 78, 3


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Product Details
  • ISBN-13: 9781420066586
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Chapman & Hall/CRC
  • Language: English
  • Sub Title: Models, Methods, and Applications
  • ISBN-10: 1420066587
  • Publisher Date: 02 Mar 2010
  • Binding: Digital (delivered electronically)
  • Series Title: Chapman & Hall/CRC Interdisciplinary Statistics


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