Recent Advances in Linear Models and Related Areas
Essays in Honour of Helge Toutenburg
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Beschreibung
The theory of linear models and regression analysis plays an essential role in the development of methods for the statistical modelling of data.
The book presents the most recent developments in the theory and applications of linear models and related areas of active research. The contributions include topics such as boosting, Cox regression models, cluster analysis, design of experiments, feasible generalized least squares, information theory, matrix theory, measurement error models, missing data models, mixture models, panel data models, penalized least squares, prediction, regression calibration, spatial models and time series models.
Several contributions illustrate applications in biomedical research, economics, finance, genetic epidemiology and medicine.
This collection contains invited papers by distinguished statisticians to honour and acknowledge the contributions of Professor Dr. Dr. Helge Toutenburg to Statistics on the occasion of his sixty-?fth birthday. These papers present the most recent developments in the area of the linear model and its related topics. Helge Toutenburg is an established statistician and currently a Professor in the Department of Statistics at the University of Munich (Germany) and Guest Professor at the University of Basel (Switzerland). He studied Mathematics in his early years at Berlin and specialized in Statistics. Later he completed his dissertation (Dr. rer. nat. ) in 1969 on optimal prediction procedures at the University of Berlin and completed the post-doctoral thesis in 1989 at the University of Dortmund on the topic of mean squared error superiority. He taught at the Universities of Berlin, Dortmund and Regensburg before joining the University of Munich in 1991. He has various areas of interest in which he has authored and co-authored over 130 research articles and 17 books. He has made pioneering contributions in several areas of statistics, including linear inference, linear models, regression analysis, quality engineering, Taguchi methods, analysis of variance, design of experiments, and statistics in medicine and dentistry.
Includes supplementary material: sn.pub/extras
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Themen in »Recent Advances in Linear Models and Related Areas«
Econometrics Estimator Fitting Generalized linear model Linear Models Logistic Regression Matrix Matrix Theory Regression Regression analysis Time series Variance cluster analysis correlation linear regression
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From the reviews:
“This is a festschrift for Professor Helge Toutenburg on the occasion of his 65th birthday. … In addition, the general mixture model class is presented and several special cases are discussed … . This great variety of topics, as well as the very clear style of the presentation makes a pleasant reading. Overall, if I had to recommend a good book on recent advances in the study of linear models, I would choose this one.” (J. A. Pardo, Statistical Papers, Vol. 52, 2011)
“This edited volume attempts to present some recent developments in linear models and related areas. … This collection comprises 24 papers to honor the contributions of Helge Toutenburg, an accomplished and established statistician, on his 65th birthday. … This volume will be useful and of interest to the intended audience—experienced researchers as well as practitioners in the field of linear models.” (Technometrics, Vol. 51 (2), May, 2009)
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