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Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and com…

Features the classical themes of geometry with plentiful applications in mathematics, education, engineering, and science Accessible and reader-friend…

A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance o…

Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who …

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, c…

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addres…

Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical a…

A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal …

A self-contained study of the various applications and developments of discrete distribution theory Written by a well-known researcher in the field, D…

A gentle introduction to the geometry of convex sets in n-dimensional space Geometry of Convex Sets begins with basic definitions of the concepts of v…

Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways…

Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Pr…

Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book c…

Uniquely reflects an engineering view to social systems in a wide variety of contexts of application Social Systems Engineering: The Design of Complex…

Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics…

This book introduces ALM in the context of banks and insurance companies. Although this strategy has a core of fundamental frameworks, models may vary…

Introduces both the fundamentals of time dependent differential equations and their numerical solutions Introduction to Numerical Methods for Time Dep…

Presents a comprehensive treatment of issues related to the inception, design, implementation and reporting of large-scale education assessments. In r…

Uses mathematical, numerical, and programming tools to solve differential equations for physical phenomena and engineering problems Introduction to Co…

Praise for the First Edition “ …beautiful and well worth the reading … with many exercises and a good bibliography, this book will fascinate both stud…

Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reins…

Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies that lead t…

A comprehensive guide to ranks and group theory Ranks of Groups features a logical, straightforward presentation, beginning with a succinct discussion…

Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis…

A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH s…

Explores computer-intensive probability and statistics for ecosystem management decision making Simulation is an accessible way to explain probability…

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engi…

Presents a clear bridge between mathematics and the liberal arts Mathematics for the Liberal Arts provides a comprehensible and precise introduction t…

Presents a self-contained introduction to continuum mechanics that illustrates how many of the important partial differential equations of applied mat…

This work analyzes the role of private equity firms (SCIs) in forming strategic alliances in the French private equity market. The subject is importan…

"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr. Ian Evett, Pri…

A new edition of this classic work, comprehensively revised to present exciting new developments in this important subject The study of numerical meth…

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

Illustrates the application of mathematical and computational modeling in a variety of disciplines With an emphasis on the interdisciplinary nature of…

Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and co…

Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making situations…

A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and …

Presents a systematic treatment of fuzzy fractional differential equations as well as newly developed computational methods to model uncertain physica…

A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The objective i…

The emergence of social networks, OpenCourseWare, Massive Open Online Courses, informal remote learning and connectivist approaches to learning has ma…

A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social…

Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in unders…

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry’s e…

A world model: economies, trade, migration, security and development aid. This bookprovides the analytical capability to understand and explore the dy…

BEST PRACTICES TO CREATE AND IMPLEMENTHIGHLY EFFECTIVE WEB SURVEYS Exclusively combining design and sampling issues, Handbook of Web Surveys presents …