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Brajendra C. Sutradhar | Akateeminen Kirjakauppa

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Dynamic Mixed Models for Familial Longitudinal Data
Brajendra C. Sutradhar
Springer (2011)
Kovakantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers
Brajendra C. Sutradhar
Springer-Verlag New York Inc. (2013)
Kovakantinen kirja
129,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Dynamic Mixed Models for Familial Longitudinal Data
Brajendra C. Sutradhar
Springer (2013)
Pehmeäkantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Longitudinal Categorical Data Analysis
Brajendra C. Sutradhar
Springer (2014)
Kovakantinen kirja
126,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers
Brajendra C. Sutradhar
Springer-Verlag New York Inc. (2015)
Pehmeäkantinen kirja
107,50
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data - Proceedings of the 2015 International S
Brajendra C. Sutradhar
Springer International Publishing AG (2016)
Pehmeäkantinen kirja
97,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Longitudinal Categorical Data Analysis
Brajendra C. Sutradhar
Springer (2016)
Pehmeäkantinen kirja
126,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Dynamic Mixed Models for Familial Longitudinal Data
97,90 €
Springer
Sivumäärä: 494 sivua
Asu: Kovakantinen kirja
Painos: 2011
Julkaisuvuosi: 2011, 03.02.2011 (lisätietoa)
Kieli: Englanti
Tuotesarja: Springer Series in Statistics

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized to develop theoretically sound inference techniques such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existing ‘working’ correlations based GEE (generalized
estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is not suitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal data collected from the members of a large number of independent families by using the class of auto-correlation structures conditional on the random effects. The book also provides models and inferences for discrete longitudinal data in the adaptive clinical trial set up.
The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special cares for mathematics behind the correlation models, it also presents the
illustrations of the statistical analysis of various real life data.
This book will be of interest to the researchers including graduate students in biostatistics and econometrics, among other applied statistics research areas.
Brajendra Sutradhar is a University ResearchProfessor at Memorial University in St. John’s, Canada. He is an elected member of the International Statistical Institute and a fellow of the American Statistical Association. He has published about 110 papers in statistics journals in the area of multivariate analysis, time series analysis including forecasting, sampling, survival analysis for correlated failure times, robust inferences in generalized linear mixed models with outliers, and generalized linear longitudinal mixed models with bio-statistical and econometric applications. He has served as an associate editor for six years for Canadian Journal of Statistics and for four years for the Journal of Environmental and Ecological Statistics. He has served for 3 years as a member of the advisory committee on statistical methods in Statistics Canada. Professor Sutradhar was awarded 2007 distinguished service award of Statistics Society of Canada for his many years of services to the
society including his special services for society’s annual meetings.



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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 4-5 viikossa | Tilaa jouluksi viimeistään 27.11.2024
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