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ISS-2012 proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers Brajendra C. Sutradhar, editor

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Conference/Event
Contributor:
Sutradhar, Brajendra Chandra, 1952- editor.
Conference Name:
International Symposium in Statistics (ISS) on Longitudinal Data Anaylsis Subject to Outliers, Measurement Errors, and/or Missing Values (2012 : Memorial University of Newfoundland) http://viaf.org/viaf/3967165326493916290008
Series:
Lecture notes in statistics (Springer-Verlag). Proceedings ; 0930-0325 v. 211,
Lecture notes in statistics, Proceedings 0930-0325 v. 211
Language:
English
Subjects (All):
Mathematical statistics--Congresses.
Mathematical statistics.
Longitudinal method--Congresses.
Longitudinal method.
Genre:
proceedings (reports)
Conference papers and proceedings
Physical Description:
1 online resource
Place of Publication:
New York Springer 2013
System Details:
text file
PDF
Summary:
This proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics, 2012 held at Memorial University from July 16 to 18. These nine papers cover three different areas for longitudinal data analysis, four dealing with longitudinal data subject to measurement errors, four on incomplete longitudinal data analysis, and the last one for inferences for longitudinal data subject to outliers. Unlike in the independence setup, the inferences in measurement errors, missing values, and/or outlier models, are not adequately discussed in the longitudinal setup. The papers in the present volume provide details on successes and further challenges in these three areas for longitudinal data analysis. This volume is the first outlet with current research in three important areas in the longitudinal setup. The nine papers presented in three parts clearly reveal the similarities and differences in inference techniques used for three different longitudinal setups. Because the research problems considered in this volume are encountered in many real life studies in biomedical, clinical, epidemiology, socioeconomic, econometrics, and engineering fields, the volume should be useful to the researchers including graduate students in these areas
Contents:
Part I: Longitudinal Data Analysis Subject to Measurement Error. Measurement Error Analysis from Independent to Longitudinal Setup Brajendra C. Sutradhar Bias Reduction in Logistic Regression with Estimated Variance Predictors Laine Thomas, Leonard A. Stefanski, Marie Davidian Measurement Error in Dynamic Models John P. Buonaccorsi Measurement Error in the Linear Dynamic Panel Data Model Erik Meijer, Laura Spierdijk, Tom Wansbeek
Part II: Longitudinal Data Analysis Subject to Missing Values. Inference Progress in Missing Data Analysis from Independent to Longitudinal Setup Brajendra C. Sutradhar Consistent Estimation in Incomplete Longitudinal Binary Models Taslim S. Mallick, Patrick J. Farrell, Brajendra C. Sutradhar Innovative Applications of Shared Random Parameter Models for Analyzing Longitudinal Data Subject to Dropout Paul S. Albert, Rajeshwari Sundaram, Alexander C. McLain Response-Dependent Sampling with Clustered and Longitudinal Data Michael A. McIsaac, Richard J. Cook
Part III: Longitudinal Data Analysis Subject to Outliers. Robust Inference Progress from Independent to Longitudinal Setup Brajendra C. Sutradhar
Notes:
Includes bibliographical references
Online resource; title from PDF title page (SpringerLink, viewed August 20, 2013)
Other Format:
Printed edition:
ISBN:
9781461468714
146146871X
1461468701
9781461468707
OCLC:
857659776
Access Restriction:
Restricted for use by site license

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