PDF Introduction to Functional Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
Description Introduction to Functional Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework.The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems.The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.
Introduction to Functional Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) PDF ePub
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Introduction to functional data analysis / Kokoszka, Piotr ~ Introduction to functional data analysis / Kokoszka, Piotr; Reimherr, Matthew / download / BâOK. Download books for free. Find books
J I An Introduction to Functional Data ~ ⢠What are functional data? ⢠Some functional data analyses ⢠The goals of functional data analysis ⢠First steps in a functional data analysis ⢠Using derivatives in functional data analysis This talk follows closely the ďŹrst chapter of J. O. Ramsay andB.W.Silverman, (2005)FunctionalDataAnalysis, Sec-ond Edition. New York: Springer.
Tutorial on Functional Data Analysis - SAMSI ~ Ferraty & Vieux, 2006, \Nonparametric Functional Data Analysis". Zhang, 2013, \Analysis of Variance for Functional Data". Hsing & Eubank, 2015, \Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators" A-M Staicu Tutorial on Functional Data Analysis April 5, 2017 11 / 71
Free Download Introduction to Data Technologies (Chapman ~ Introduction to Functional Data Analysis Chapman Hall ~ Piotr Kokoszka is a professor of statistics at Colorado State University His research interests include functional data analysis with emphasis on dependent data structures and applications to geosciences and finance He is a coauthor of the monograph Inference for Functional Data with Applications with L HorvĂĄth
Introduction to Functional Data Analysis (Chapman & Hall ~ Introduction to Functional Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) By Piotr Kokoszka and Matthew Reimherr Retrieved 0 of 20 bookstores
Introduction to Functional Data Analysis / Taylor ~ Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework.
Introduction to Functional Data Analysis (Chapman & Hall ~ Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework.
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A Short Course - Cornell University ~ Functional Data Analysis Some More References Other monographs: Kokoszka & Reimherr, 2017, Introduction to Functional Data Analysis Horvath & Kokoszka, 2012, Inference for Functional Data with Applications Ferraty & Vieux, 2002, Nonparametric Functional Data Analysis Bosq, 2002, Linear Processes on Function Spaces Other R packages
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Introduction to Functional Data Analysis - 1st Edition ~ Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or .
Introduction to Functional Data Analysis Chapman & Hall ~ Introduction to Functional Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) / Kokoszka, Piotr, Reimherr, Matthew / ISBN: 9781498746342 / Kostenloser Versand fĂźr alle BĂźcher mit Versand und Verkauf duch .
Functional Data Analysis with Applications in Finance ~ Functional Data Analysis, Implied Volatility, Principal Component Analysis, Bootstrap. Zusammenfassung An vielen verschiedenen Stellen der angewandten Statistik sind die zu unter-suchenden Objekte abhängig von stetigen Parametern. . 1 Introduction 1 2 Options Markets Beyond Black-Scholes 6
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Introduction to Functional Data Analysis (Chapman & Hall ~ Introduction to Functional Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) de Kokoszka, Piotr; Reimherr, Matthew en Iberlibro - ISBN 10: 1498746349 - ISBN 13: 9781498746342 - Chapman and Hall/CRC - 2017 - Tapa dura
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Introduction to functional data analysis (eBook, 2017 ~ "Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework.
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