This book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...
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There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...
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Classical Methods of Statistics is a blend of theory and practical statistical methods written for graduate students and ...
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Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...
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Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that ...
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This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes ...
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The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example ...
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R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. ...
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This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...
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Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
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This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
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Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
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This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
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The place in survival analysis now occupied by proportional hazards models and their generalizations is so large that it ...
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The theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
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This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...
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This book describes how elite studies theoretically and methodologically construct their object, i.e. how particular conceptualizations ...
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