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＜電子ブック＞
ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers / edited by Brajendra C. Sutradhar
(Lecture Notes in Statistics - Proceedings ; 211)

版	1st ed. 2013.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2013
本文言語	英語
大きさ	XIX, 209 p. 12 illus., 2 illus. in color : online resource
著者標目	Sutradhar, Brajendra C editor SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Biometry FREE:Statistics FREE:Statistical Theory and Methods FREE:Biostatistics
一般注記	Longitudinal Data Analysis Subject to Measurement Error -- Longitudinal Data Analysis Subject to Missing Values -- Longitudinal Data Analysis Subject to Outliers 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 HTTP:URL=https://doi.org/10.1007/978-1-4614-6871-4

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