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A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimen…

This book considers various extensions of the topics treated in the first volume of this series, in relation to the class of models and the type of cr…

Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend…

Branching processes are stochastic processes which represent the reproduction of particles, such as individuals within a population, and thereby model…

An easily accessible introduction to over three centuries of innovations in geometry Praise for the First Edition “. . . a welcome alternative to comp…

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition…

"…this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on element…

Praise for the First Edition «This is a well-written and impressively presented introduction to probability and statistics. The text throughout is hig…

An introductory approach to the subject of large strains and large displacements in finite elements. Large Strain Finite Element Method: A Practical C…

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout This Second Edition addr…

An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully com…

Extensive coverage of mathematical techniques used in engineering with an emphasis on applications in linear circuits and systems Mathematical Foundat…

A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is wr…

Addresses the rapidly growing ­field of fractional calculus and provides simpli­fied solutions for linear commensurate-order fractional differential e…

A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statisti…

The authoritative guide to modeling and solving complex problems with linear programming—extensively revised, expanded, and updated The only book to t…

“…a much-needed handbook with contributions from well-chosen practitioners. A primary accomplishment is to provide guidance for those involved in mode…

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, usin…

Features step-by-step examples based on actual data and connects fundamental mathematical modeling skills and decision making concepts to everyday app…

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelli…

Petri Nets were defined for the study of discrete events systems and later extended for many purposes including dependability assessment. In our knowl…

An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified profe…

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® presents an applied and interactive approach to data mining. …

Reliable scheduling in cutting conditions is very important in machining processes, and this requires thorough understanding of the physical behaviors…

A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series Analysis p…

This book provides the mathematical basis for investigating numerically equations from physics, life sciences or engineering. Tools for analysis and a…

Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applica…

The finite element method (FEM) is a computational tool widely used to design and analyse complex structures. Currently, there are a number of differe…

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four m…

Features mathematical modeling techniques and real-world processes with applications in diverse fields Mathematical Modeling with Multidisciplinary Ap…

This Series provides the necessary elements to the development and validation of numerical prediction models for hydrodynamic bearings. This book with…

Fourier Transforms: Principles and Applications explains transform methods and their applications to electrical systems from circuits, antennas, and s…

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and …

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the…

Reflects the developments and new directions in the field since the publication of the first successful edition and contains a complete set of problem…

An introduction to the mathematical theory and financial models developed and used on Wall Street Providing both a theoretical and practical approach …

Praise for the Third Edition «…this is an excellent book which could easily be used as a course text…» —International Statistical Institute The Fourth…

Praise for the First Edition «…[t]he book is great for readers who need to apply the methods and models presented but have little background in mathem…

Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” …

Presents a uniquely balanced approach that bridges introductory and advanced topics in modern mathematics An accessible treatment of the fundamentals …

This book is the first of a series which focuses on the interpolation and extrapolation of optimal designs, an area with significant applications in e…

An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Finan…

A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization…

A fresh introduction to random processes utilizing signal theory By incorporating a signal theory basis, A Signal Theoretic Introduction to Random Pro…

Featuring key topics within finance, small business management, and entrepreneurship to develop and maintain prosperous business ventures With a compr…