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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 discusses all major topics on survey sampling and estimation. As a large sample size is not cost-efficient, this book introduces a new method by using the domain... Læs mere
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an... Læs mere
Combining theory with plenty of practical, technical advice – and accompanied by original case studies and data sets – this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.
This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink.
This third edition of the popular guide to using R reflects recent improvements to the R system, including major advances in graphical user... Læs mere
The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for... Læs mere
Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for... Læs mere
The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details kept to an absolute minimum. It could be used as... Læs mere
This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records.