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