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