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Data Analysis and Decision Support (Taschenbuch)
110,85 € *
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Erscheinungsdatum: 13.07.2005 Medium: Taschenbuch Einband: Kartoniert / Broschiert Titel: Data Analysis and Decision Support Auflage: 2005 // 2005. 2005 Redaktion: Baier, Daniel // Decker, Reinhold // Schmidt-Thieme, Lars Verlag: Springer-Verlag Gmb

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Stand: 28.01.2020
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Methods and Supporting Technologies for Data An...
127,17 € *
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Erscheinungsdatum: 30.06.2009 Medium: Buch Einband: Gebunden Titel: Methods and Supporting Technologies for Data Analysis Redaktion: Zakrzewska, Danuta // Menasalvas, Ernestina // Byczkowska-Lipinska, Liliana Verlag: Springer-Verlag GmbH // Springer

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Specification for Exchange of Product Analysis ...
71,65 € *
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Erscheinungsdatum: 23.08.1989 Medium: Taschenbuch Einband: Kartoniert / Broschiert Titel: Specification for Exchange of Product Analysis Data Titelzusatz: Version 3 Auflage: Softcover reprint of the original 1st ed. 1989 // Softcover reprint of the o

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Bayesian Data Analysis, Third Edition (Chapman ...
95,90 € *
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Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)Einbandart: Gebundene AusgabeISBN-13: 9781439840955Verlag: Chapman & Hall/CRCAuthor: Professor in the Department of Statistics Andrew Gelman, John B Carlin, Hal

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Dynamic Data Analysis
93,66 € *
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This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.

Anbieter: Dodax AT
Stand: 28.01.2020
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Multivariate Data Analysis
87,60 € *
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For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today's world of analytics.Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.

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Stand: 28.01.2020
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Bayesian Nonparametric Data Analysis
77,72 € *
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This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.

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Stand: 28.01.2020
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Dynamic Data Analysis
95,51 € *
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This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.

Anbieter: Dodax
Stand: 28.01.2020
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Functional and Shape Data Analysis
76,18 € *
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This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered-from introductory theory to algorithmic implementations and some statistical case studies-is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines, Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges.Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves-in one, two, and higher dimensions-both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.

Anbieter: Dodax AT
Stand: 28.01.2020
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