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Service Science
A comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries Making up a significant…
ПодробнееAnalysis of Ordinal Categorical Data
Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present …
ПодробнееTime Series. Applications to Finance with R and S-Plus
A new edition of the comprehensive, hands-on guide to financial time series, now featuring S-Plus® and R software Time Series: Applications to Finance…
ПодробнееA General Introduction to Data Analytics
A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Ana…
ПодробнееA First Course in Probability and Markov Chains
Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability a…
ПодробнееRevolutions of Geometry
Guides readers through the development of geometry and basic proof writing using a historical approach to the topic In an effort to fully appreciate t…
ПодробнееBayesian Modeling Using WinBUGS
A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introductio…
ПодробнееReal Analysis. A Historical Approach
A provocative look at the tools and history of real analysis This new edition of Real Analysis: A Historical Approach continues to serve as an interes…
ПодробнееPanel Data Econometrics with R
Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econom…
ПодробнееSpatio-temporal Design. Advances in Efficient Data Acquisition
A state-of-the-art presentation of optimum spatio-temporal sampling design – bridging classic ideas with modern statistical modeling concepts and the …
ПодробнееUnderstanding Computational Bayesian Statistics
A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering th…
ПодробнееDigital Spectral Analysis. Parametric, Non-Parametric and Advanced Methods
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes de…
ПодробнееФрактальная геометрия. Детерминированные аттракторы
Учебник представляет собой изложение курса «Фрактальная геометрия», преподаваемого студентам третьего курса бакалавриата. Курс посвящен системам итери…
ПодробнееThe Bayesian Way: Introductory Statistics for Economists and Engineers
A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering an…
ПодробнееCompositional Data Analysis. Theory and Applications
It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even m…
ПодробнееRisk Assessment. Theory, Methods, and Applications
An introduction to risk assessment that utilizes key theory and state-of-the-art applications With its balanced coverage of theory and applications al…
ПодробнееMeta-Analysis. A Structural Equation Modeling Approach
Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two…
ПодробнееMultivariate Time Series Analysis and Applications
An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following…
ПодробнееRobustness Theory and Application
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytica…
ПодробнееThe Biostatistics of Aging. From Gompertzian Mortality to an Index of Aging-Relatedness
A practical and clarifying approach to aging and aging-related diseases Providing a thorough and extensive theoretical framework, The Biostatistics of…
ПодробнееFinancial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB
A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models …
ПодробнееLogic as a Tool. A Guide to Formal Logical Reasoning
Written in a clear, precise and user-friendly style, Logic as a Tool: A Guide to Formal Logical Reasoning is intended for undergraduates in both mathe…
ПодробнееEnsemble Classification Methods with Applications in R
An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Appl…
ПодробнееDecision Theory. Principles and Approaches
Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences,…
ПодробнееProbabilistic Search for Tracking Targets. Theory and Modern Applications
Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Searc…
ПодробнееMarkov Chains. Theory and Applications
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational…
ПодробнееCross Section and Experimental Data Analysis Using EViews
A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. «This book is a reflection of …
ПодробнееTime Series Analysis with Long Memory in View
Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time s…
ПодробнееARCH Models for Financial Applications
Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both t…
ПодробнееAn Elementary Introduction to Statistical Learning Theory
A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from lea…
ПодробнееParadigms of Combinatorial Optimization. Problems and New Approaches, Volume 2
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical …
ПодробнееApproximate Dynamic Programming. Solving the Curses of Dimensionality
Praise for the First Edition «Finally, a book devoted to dynamic programming and written using the language of operations research (OR)! This beautifu…
ПодробнееStatistical Inference for Piecewise-deterministic Markov Processes
Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience, ne…
ПодробнееNeural-Based Orthogonal Data Fitting. The EXIN Neural Networks
The presentation of a novel theory in orthogonal regression The literature about neural-based algorithms is often dedicated to principal component ana…
ПодробнееOptimal Learning
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optim…
ПодробнееThe Analysis of Covariance and Alternatives. Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance a…
ПодробнееEmpirical Model Building. Data, Models, and Reality
Praise for the First Edition «This…novel and highly stimulating book, which emphasizes solving real problems…should be widely read. It will have a pos…
ПодробнееINFORMS ABOK
Standardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics—whic…
ПодробнееMulti-criteria Decision Analysis. Methods and Software
This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of meth…
ПодробнееMaking Sense of Data I. A Practical Guide to Exploratory Data Analysis and Data Mining
Praise for the First Edition “…a well-written book on data analysis and data mining that provides an excellent foundation…” —CHOICE “This is a must-re…
ПодробнееAnalysis of Financial Time Series
This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and predict…
ПодробнееBusiness Intelligence. Data Mining and Optimization for Decision Making
Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of h…
ПодробнееSolving Partial Differential Equation Applications with PDE2D
Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author Solving Partial Different…
ПодробнееJet Single-Time Lagrange Geometry and Its Applications
Develops the theory of jet single-time Lagrange geometry and presents modern-day applications Jet Single-Time Lagrange Geometry and Its Applications g…
ПодробнееNonparametric Statistics. A Step-by-Step Approach
“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a pl…
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