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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.

Contributor(s): Material type: TextTextSeries: Lecture notes in statistics (Springer-Verlag) ; 211.Description: xix, 209 p. : ill. (some color) ; 23 cmISBN:
  • 9781461468707 (alk. paper)
  • 1461468701 (alk. paper)
Subject(s): DDC classification:
  • 000SA.05 23 In61
LOC classification:
  • QA279 .I8 2013
Contents:
Measurement error analysis from independent to longitudinal setup -- Bias reduction in logistic regression with estimated variance predictors -- Measurement error in dynamic models -- Measurement error in the linear dynamic panel data model -- Inference progress in missing data analysis from independent to longitudinal setup -- Consistent estimation in incomplete longitudinal binary models -- Innovative applications of shared random parameter models for analyzing longitudinal data subject to dropout -- Response-dependent sampling with clustered and longitudinal data -- Robust inference progress from independent to longitudinal setup.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.05 In61 (Browse shelf(Opens below)) Available 134686
Total holds: 0

"This special proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics (ISS) on Longitudinal Data Analysis Subject to Outliers, Measurement Errors, and/or Missing Values, held at Memorial University, Canada from July 16-18, 2012.

Includes bibliographical references.

Measurement error analysis from independent to longitudinal setup -- Bias reduction in logistic regression with estimated variance predictors -- Measurement error in dynamic models -- Measurement error in the linear dynamic panel data model -- Inference progress in missing data analysis from independent to longitudinal setup -- Consistent estimation in incomplete longitudinal binary models -- Innovative applications of shared random parameter models for analyzing longitudinal data subject to dropout -- Response-dependent sampling with clustered and longitudinal data -- Robust inference progress from independent to longitudinal setup.

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