Introduction to Functional Data Analysis

Nonfiction, Science & Nature, Mathematics, Probability, Statistics
Cover of the book Introduction to Functional Data Analysis by Piotr Kokoszka, Matthew Reimherr, CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Piotr Kokoszka, Matthew Reimherr ISBN: 9781498746694
Publisher: CRC Press Publication: September 27, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Piotr Kokoszka, Matthew Reimherr
ISBN: 9781498746694
Publisher: CRC Press
Publication: September 27, 2017
Imprint: Chapman and Hall/CRC
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from CRC Press

Cover of the book Large Sample Methods in Statistics (1994) by Piotr Kokoszka, Matthew Reimherr
Cover of the book Heat Exchangers by Piotr Kokoszka, Matthew Reimherr
Cover of the book Simple Models of Complex Nuclei by Piotr Kokoszka, Matthew Reimherr
Cover of the book Habitat, Population Dynamics, and Metal Levels in Colonial Waterbirds by Piotr Kokoszka, Matthew Reimherr
Cover of the book Graph Theory and Its Applications by Piotr Kokoszka, Matthew Reimherr
Cover of the book Visual Cryptography and Secret Image Sharing by Piotr Kokoszka, Matthew Reimherr
Cover of the book An Invitation to Knot Theory by Piotr Kokoszka, Matthew Reimherr
Cover of the book Action Learning in Health, Social and Community Care by Piotr Kokoszka, Matthew Reimherr
Cover of the book Operative Oral and Maxillofacial Surgery by Piotr Kokoszka, Matthew Reimherr
Cover of the book High Performance Self-Consolidating Cementitious Composites by Piotr Kokoszka, Matthew Reimherr
Cover of the book Cartography by Piotr Kokoszka, Matthew Reimherr
Cover of the book Handbook of Nutrient Requirements of Finfish (1991) by Piotr Kokoszka, Matthew Reimherr
Cover of the book Glutamine and Glutamate Mammals by Piotr Kokoszka, Matthew Reimherr
Cover of the book Organization of the Extracellular Matrix by Piotr Kokoszka, Matthew Reimherr
Cover of the book Optical Fiber Sensors by Piotr Kokoszka, Matthew Reimherr
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy