Probability & Statistics

Often, when a new successful data processing techniques appears in one of the application areas, it then proves to be useful in many other areas. T...

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian ...

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the e...

This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up...

This book provides a self-contained introduction to a new class of stochastic models for systems of spiking neurons. These systems have a large num...

Dieses Lehrbuch deckt die wichtigsten Konzepte und Formeln der Wahrscheinlichkeitsrechnung ab und möchte für deren Schönheit begeistern. Es stellt ...

Bridging the gap between theoretical asset pricing and industry practices in factors and factor investing, Zhang et al. provides a comprehensive tr...

Bridging the gap between theoretical asset pricing and industry practices in factors and factor investing, Zhang et al. provides a comprehensive tr...

This book presents the effective combination of mathematical statistics, general metrology, and textile metrology to allow data analysis with regar...

The fourth edition of this widely used textbook offers a new perspective. Previously titled Business Process Modeling, Simulation and Design, as th...

This book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated ...

This thesis advances our understanding of how thermal anisotropy can be exploited to extract work through a mechanism that is quite distinct from t...

From vaccine trials to elections and self-driving cars, statistics shapes our lives. Whatever your major, Essentials of Statistics can help you und...

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categori...

Elections are random events.From individuals deciding whether to vote, to individuals deciding who to vote for, to election authorities deciding wh...

Elections are random events.From individuals deciding whether to vote, to individuals deciding who to vote for, to election authorities deciding wh...

The PASW Statistics 18 Guide to Data Analysis is a friendly introduction to both data analysis and PASW Statistics 18 (formerly SPSS Statistics), t...

This manual contains completely worked-out solutions for all the odd numbered exercises in the text.

The statistical study and development of analytic methodology for individualization of treatments is no longer in its infancy. Many methods of stud...

This book constitutes the proceedings of the 13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS...

This book provides a chronological, comprehensive, and up-to-date review of indirect methods of data collection from the human population such as r...

Prof. Pedro A. Morettin is a Distinguished Professor of Statistics at the Institute of Mathematics and Statistics of the University of São Paulo (I...

This book aims to predict and model the transport of bioaerosols, identify their transmission characteristics, and assess occupants infection risks...

This book addresses the challenge of presenting biostatistics to medical and health science audiences coherently. Tailored for students and researc...

This open access book, based on static indicators and dynamic big data from local electric vehicles, is the first research annual report on the Big...

This book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. These students ...

Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. T...

This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable...

This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands t...