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