Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
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 readingThe book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, ...
Continue readingMathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics ...
Continue readingA metric based flow is described that focuses on the four steps of: 1. Planning: Defining what needs to be done and the automatically ...
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 volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. ...
Continue readingThe importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the ...
Continue readingThis book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear ...
Continue readingRemarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the ...
Continue readingThis book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization ...
Continue readingThis book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...
Continue readingCovers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. ...
Continue readingThis volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
Continue readingNew Frontiers in Angiogenesis starts with a comprehensive overview of the field and continues with topics that have been ...
Continue readingThis reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting ...
Continue readingCovers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, ...
Continue readingThis second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
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