عنوان

Introduction to functional data analysis

(Number (ISBN

9781498746342

Number

E3901

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Introduction to functional data analysis

First Statement of Responsibility

Piotr Kokoszka, Matthew Reimherr.

Place of Publication, Distribution, etc.

Boca Raton FL.

Name of Publisher, Distributor, etc.

CRC Press, Taylor & Francis Group

Date of Publication, Distribution, etc.

2017.

Specific Material Designation and Extent of Item

xvi, 290 pa.

Other Physical Details

ill.

Series Title

(Texts in statistical science series)

Text of Note

"A Chapman & Hall book."

Text of Note

Includes bibliographical references and index.

Text of Note

Chapter 1 First steps in the analysis of functional data / Piotr Kokoszka -- chapter 2 Further topics in exploratory analysis of functional data / Piotr Kokoszka -- chapter 3 Mathematical framework for functional data / Piotr Kokoszka -- chapter 4 Scalar-on-function regression / Piotr Kokoszka -- chapter 5 Functional response models / Piotr Kokoszka -- chapter 6 Functional generalized linear models / Piotr Kokoszka -- chapter 7 Sparse FDA / Piotr Kokoszka -- chapter 8 Functional time series / Piotr Kokoszka -- chapter 9 Spatial functional data and models / Piotr Kokoszka -- chapter 10 Elements of Hilbert space theory / Piotr Kokoszka -- chapter 11 Random functions / Piotr Kokoszka -- chapter 12 Inference from a random sample / Piotr Kokoszka

0

Text of Note

"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."--Provided by publisher

Entry Element

Functional analysis.

Edition

Class number

Book number

Entry Element

Kokoszka, P.

Expansion of Initials of Forename

(Piotr)

Reimherr, Matthew.

Country

ایران

Agency

University of Tehran. Library of College of Science

Date of Transaction

20180328092153.0

Cataloguing Rules (Descriptive Conventions))

rda

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1004187_0001.pdf

e

BL

278840

a

Y