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Математика

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Service Science
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A comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries Making up a significant…
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Analysis of Ordinal Categorical Data
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Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present …
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Time Series. Applications to Finance with R and S-Plus
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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…
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A General Introduction to Data Analytics
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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…
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A First Course in Probability and Markov Chains
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Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability a…
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Revolutions of Geometry
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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…
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Bayesian Modeling Using WinBUGS
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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introductio…
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Real Analysis. A Historical Approach
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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…
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Panel Data Econometrics with R
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Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econom…
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Spatio-temporal Design. Advances in Efficient Data Acquisition
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A state-of-the-art presentation of optimum spatio-temporal sampling design – bridging classic ideas with modern statistical modeling concepts and the …
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Understanding Computational Bayesian Statistics
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A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering th…
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Digital Spectral Analysis. Parametric, Non-Parametric and Advanced Methods
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Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes de…
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Фрактальная геометрия. Детерминированные аттракторы
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Учебник представляет собой изложение курса «Фрактальная геометрия», преподаваемого студентам третьего курса бакалавриата. Курс посвящен системам итери…
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The Bayesian Way: Introductory Statistics for Economists and Engineers
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A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering an…
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Compositional Data Analysis. Theory and Applications
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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…
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Risk Assessment. Theory, Methods, and Applications
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An introduction to risk assessment that utilizes key theory and state-of-the-art applications With its balanced coverage of theory and applications al…
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Meta-Analysis. A Structural Equation Modeling Approach
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Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two…
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Multivariate Time Series Analysis and Applications
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An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following…
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Robustness Theory and Application
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A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytica…
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The Biostatistics of Aging. From Gompertzian Mortality to an Index of Aging-Relatedness
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A practical and clarifying approach to aging and aging-related diseases Providing a thorough and extensive theoretical framework, The Biostatistics of…
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Financial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB
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A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models …
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Logic as a Tool. A Guide to Formal Logical Reasoning
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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…
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Ensemble Classification Methods with Applications in R
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An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Appl…
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Decision Theory. Principles and Approaches
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Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences,…
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Probabilistic Search for Tracking Targets. Theory and Modern Applications
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Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Searc…
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Markov Chains. Theory and Applications
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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…
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Cross Section and Experimental Data Analysis Using EViews
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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 …
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Time Series Analysis with Long Memory in View
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Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time s…
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ARCH Models for Financial Applications
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Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both t…
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An Elementary Introduction to Statistical Learning Theory
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A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from lea…
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Paradigms of Combinatorial Optimization. Problems and New Approaches, Volume 2
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Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical …
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Approximate Dynamic Programming. Solving the Curses of Dimensionality
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Praise for the First Edition «Finally, a book devoted to dynamic programming and written using the language of operations research (OR)! This beautifu…
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Statistical Inference for Piecewise-deterministic Markov Processes
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Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience, ne…
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Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks
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The presentation of a novel theory in orthogonal regression The literature about neural-based algorithms is often dedicated to principal component ana…
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Optimal Learning
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Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optim…
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The Analysis of Covariance and Alternatives. Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
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A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance a…
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Empirical Model Building. Data, Models, and Reality
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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…
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INFORMS ABOK
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Standardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics—whic…
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Multi-criteria Decision Analysis. Methods and Software
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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…
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Making Sense of Data I. A Practical Guide to Exploratory Data Analysis and Data Mining
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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…
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Analysis of Financial Time Series
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This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and predict…
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Business Intelligence. Data Mining and Optimization for Decision Making
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Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of h…
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Solving Partial Differential Equation Applications with PDE2D
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Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author Solving Partial Different…
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Jet Single-Time Lagrange Geometry and Its Applications
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Develops the theory of jet single-time Lagrange geometry and presents modern-day applications Jet Single-Time Lagrange Geometry and Its Applications g…
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Nonparametric Statistics. A Step-by-Step Approach
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“…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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