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Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification,... Læs mere
Fourth edition has new chapters on Bayesian survival analysis and use of the R software. Chapters extensively revised, expanded to add new material on topics... Læs mere
intermediate user level
This book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulation.
Presented using Mathematica code, the book is fully supported by downloadable sessions in Mathematica, Maple, and Maxima.Opening with an introduction to computer algebra systems and the basics of programming mathematical algorithms, the book goes on to explore integer arithmetic.
This book provides a friendly introduction to the paradigm and proposes a broad panorama of killing applications of the Infinity Computer in... Læs mere
The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality... Læs mere
This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data.
An Introduction to Economic Dynamics provides a framework for students to appreciate and understand the basic intuition behind economic models and to experiment with those models using simulation techniques in MATLAB.
An Introduction to Economic Dynamics provides a framework for students to appreciate and understand the basic intuition behind economic models and to experiment with those models using simulation techniques in MATLAB.
Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and... Læs mere