
Dynamic Mixed Models for Familial Longitudinal Data
Springer 2011
Provides a clear direction for accurate familial and longitudinal data analysis by presenting differences between the familial and longitudinal correlation models
- Deals with non-stationary longitudinal correlations caused by time dependent covariates
- Offers an appropriate level of theoretical detail for graduate students, professors and other researchers, along with easy and interesting
- illustrations of real life data analysis
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 Research Professor 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 thesociety including his special services for society’s annual meetings.
http://www.springer.com/statistics/statistical+theory+and+methods/book/978-1-4419-8341-1你绝对没有看错。。高清矢量版(从同学电脑上拷过来的,赚点币币好下几个东西,哈哈!)
本帖隐藏的内容
Brajendra C. Sutradhar-Dynamic Mixed Models for Familial Longitudinal Data -Spri.pdf
(3.94 MB, 需要: 300 个论坛币)



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