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" ISS-2012 proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers / "


Document Type : BL
Record Number : 667253
Doc. No : dltt
Main Entry : International Symposium in Statistics (ISS) on Longitudinal Data Anaylsis Subject to Outliers, Measurement Errors, and/or Missing Values(2012 :, Memorial University of Newfoundland)
Title & Author : ISS-2012 proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers /\ Brajendra C. Sutradhar, editor
Series Statement : Lecture notes in statistics, Proceedings,; v. 211
Page. NO : 1 online resource (xix, 209 pages) :: illustrations
ISBN : 146146871X (electronic bk.)
: : 9781461468714 (electronic bk.)
: 9781461468707
Bibliographies/Indexes : Includes bibliographical references
Contents : Longitudinal Data Analysis Subject to Measurement Error -- Longitudinal Data Analysis Subject to Missing Values -- Longitudinal Data Analysis Subject to Outliers
Abstract : 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
Subject : Mathematical statistics, Congresses
Dewey Classification : ‭519.5‬
LC Classification : ‭QA276.A1‬
: ‭QA276.A1‬
Added Entry : Sutradhar, Brajendra Chandra,1952-
Added Entry : Ohio Library and Information Network
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