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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
This book discusses the effect of global pandemic, Covid-19, on human resource and draws strategies with new job designing tools and... 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.
This text demonstrates how to use the multilevel- and longitudinal-modeling techniques available in IBM SPSS (Version 26).
The book focuses on good programming and coding practice for producing data sets for later analyses, using simulation studies to explore statistical concepts and employing... Læs mere