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This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website.
How to apply spatial models using R to a wide range of data used in political science. Models are similar to multidimensional scaling models long used in... Læs mere
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena.
starting from an analytical derivation of exact governing equations, constructing discretizations and analytical formulas of a... Læs mere
This book introduces R using SAS and SPSS terms with which you are already familiar. The programs and practice datasets are available for download.The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon.
Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems.
This book helps readers understand the mathematics of machine learning, and apply them in different situations. The book will be of interest to all researchers who intend to use... Læs mere
This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research.
Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.