Last edited by Shasho
Tuesday, August 4, 2020 | History

8 edition of Measurement error in nonlinear models found in the catalog.

Measurement error in nonlinear models

a modern perspective.

  • 193 Want to read
  • 0 Currently reading

Published by Chapman & Hall/CRC in Boca Raton, FL .
Written in English

    Subjects:
  • Regression analysis,
  • Nonlinear theories

  • Edition Notes

    SeriesMonographs on statistics and applied probability -- 105.
    ContributionsCarroll, Raymond J., Carroll, Raymond J.
    Classifications
    LC ClassificationsQA278.2 .C365 2006
    The Physical Object
    Paginationxxviii, 455 p. :
    Number of Pages455
    ID Numbers
    Open LibraryOL21630898M
    ISBN 101584886331
    LC Control Number2006045485
    OCLC/WorldCa67405697

      Our cheapest price for Measurement Error in Nonlinear Models: A Modern Perspective, Second is $ Free shipping on all orders over $Book Edition: 2nd. Buy the Hardcover Book Measurement Error in Nonlinear Models: A Modern Perspective by Raymond J. Carroll at , Canada's largest bookstore. Free shipping and.

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    Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified developme. A lower case letter denotes a specific value of the random variable (or random vector) denoted by the corresponding upper-case letter. Let () and () denote, respectively, the density1 and the distribution of the random variable and similarly for random vectors, whose dimension.


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Measurement error in nonlinear models Download PDF EPUB FB2

This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The digit and digit formats both by: The new book has many more data examples and incorporates of vast new literature written since "The authors have written a wonderful book.

It provides a thorough and concise description of strategies" -- Jeff Buzas, JASA,pdf file. The Garland Science website is no longer available to access and you have been automatically redirected to INSTRUCTORS.

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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.

Nonlinear Models of Measurement Errors XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1 Key words: Linear or nonlinear errors-in-variables models, classical or nonclassical measurement errors, attenuation bias, instrumental variables, double measurements, deconvolution, auxiliary sample JEL Classification: C1, C3 1 The importance of measurement File Size: KB.

Check out the new look and Measurement error in nonlinear models book easier access to your favorite features5/5(1). Measurement Error in Nonlinear Models by Raymond J. Carroll,available at Book Depository with free delivery worldwide.4/5(3). 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. Chapman and Hall/CRC Published J Reference - Pages - 75 B/W Illustrations ISBN - CAT# CX Series: Chapman & Hall/CRC Monographs on Statistics and.

TY - BOOK. T1 - Measurement error in nonlinear models. T2 - A modern perspective, second edition. AU - Carroll, Raymond J. AU - Ruppert, David. AU - Stefanski, Leonard by: COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

If σ is known, (17) provides intervals of fixed length (and with random midpoints) which, in many repetitions of the experiment of taking n measurements, will ‘cover’ the true θ 67 percent of the time whatever are the true values of θ and σ. The intervals (17) are confidence intervals for θ.

CONTENTS ix Logistic Regression With Response Error The Impact of Response Misclassification Correcting for Response Misclassification This chapter summarizes some of the known results about the effects of measurement error in linear regression and describes some of the statistical methods usedCited by: 1.

Book Description Chapman and Hall/CRC, Hardback. Condition: NEW. This listing is a new book, a title currently in-print which we order directly and immediately from the publisher.4/5(3). Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and Author: John Buonaccorsi.

A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles.

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 Author: Wayne A. Fuller. MEASUREMENT ERROR MODELS XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1 Key words: Linear or nonlinear errors-in-variables models, classical or nonclassical measurement errors, attenuation bias, instrumental variables, double measurements, deconvolution, auxiliary sample JEL Classification: C1, C3 1 IntroductionFile Size: KB.

Corrections. All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ifs:cemmap/See general information about how to correct material in RePEc. For technical questions regarding this item, or to correct its authors, title, abstract.

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This monograph provides an up-to-date discussion of analysis strategies for regression problems in which predictor variables are measured with errors. The analysis of nonlinear regression models includes generalized linear models, transform-both-sides models and quasilikelihood and variance function problems.4/5(1).