Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods ...
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This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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This is an advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). ...
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This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes ...
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This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk management. ...
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The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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This is a practical guide to solutions for a case study of forecasting demand for services and products in international ...
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In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are ...
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The Decision Engineering series focuses on the foundations and applications of tools and techniques related to decision engineering, ...
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This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such ...
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An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress ...
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Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern ...
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This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, ...
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Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, ...
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Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example ...
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There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, ...
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Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and ...
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The book provides instruction on the methods that are vital to data-driven decision making in business, government, and academe. ...
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