عنوان

Introduction to functional data analysis

شابک

9781498746342

شماره

E3901

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Introduction to functional data analysis

نام نخستين پديدآور

Piotr Kokoszka, Matthew Reimherr.

محل نشرو پخش و غیره

Boca Raton FL.

نام ناشر، پخش کننده و غيره

CRC Press, Taylor & Francis Group

تاریخ نشرو بخش و غیره

2017.

نام خاص و کميت اثر

xvi, 290 pa.

ساير جزييات

ill.

عنوان فروست

(Texts in statistical science series)

متن يادداشت

"A Chapman & Hall book."

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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

بدون عنوان

0

متن يادداشت

"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

عنصر شناسه ای

Functional analysis.

ويراست

شماره رده

نشانه اثر

عنصر شناسه اي

Kokoszka, P.

---

(Piotr)

مستند نام اشخاص تاييد نشده

Reimherr, Matthew.

کشور

ایران

سازمان

University of Tehran. Library of College of Science

تاريخ عمليات

20180328092153.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

تاريخ و ساعت مذاکره و دسترسي

UT_SCI_BL_DB_1004187_0001.pdf

فرمت انتشار

e

نوع ماده

BL

کد کاربرگه

278840

سطح دسترسي

a

تكميل شده

Y