Missing and modified data in nonparametric estimation: with R examples (Record no. 211465)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190326b 2018 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138054882
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number E3M4
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Efromovich, Sam
9 (RLIN) 376890
245 ## - TITLE STATEMENT
Title Missing and modified data in nonparametric estimation: with R examples
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2018
Place of publication, distribution, etc New York
300 ## - PHYSICAL DESCRIPTION
Extent xv, 448p.
Other physical details With index
520 ## - SUMMARY, ETC.
Summary, etc This book presents a systematic and unified approach for modern non parametric treatment of missing and modified data via examples of density and hazard rate estimation, non parametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random, biasing, truncation, censoring, and measurement errors are discussed, and their treatment is explained. Ten chapters of the book cover basic cases of direct data, biased data, nondestructive and destructive missing, survival data modified by truncation and censoring, missing survival data, stationary and nonstationary time series and processes, and ill-posed modifications.

The coverage is suitable for self-study or a one-semester course for graduate students with a prerequisite of a standard course in introductory probability. Exercises of various levels of difficulty will be helpful for the instructor and self-study.

The book is primarily about practically important small samples. It explains when consistent estimation is possible, and why in some cases missing data should be ignored and why others must be considered. If missing or data modification makes consistent estimation impossible, then the author explains what type of action is needed to restore the lost information.

The book contains more than a hundred figures with simulated data that explain virtually every setting, claim, and development. The companion R software package allows the reader to verify, reproduce and modify every simulation and used estimators. This makes the material fully transparent and allows one to study it interactively.

https://www.crcpress.com/Missing-and-Modified-Data-in-Nonparametric-Estimation-With-R-Examples/Efromovich/p/book/9781138054882
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
9 (RLIN) 376891
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics - Methodology
9 (RLIN) 376892
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Missing observations
9 (RLIN) 376893
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Non parametric Regression
9 (RLIN) 376894
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Full call number Barcode Date last seen Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2019-03-25 5 6.00 Slot 1412 (0 Floor, East Wing) 519.5 E3M4 198806 2019-03-25 7735.03 Books

Powered by Koha