Non-standard parametric statistical inference / Russell Cheng.

By:

Cheng, Russell

Material type: Text

TextPublication details: Oxford : Oxford University Press, 2017.Description: xii, 417p. : illustrations (some color) ; 24cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780198505044
0198505043

Subject(s):

DDC classification:

519.544 CHE 22

LOC classification:

QA276.8 .C465 2017

Summary: This text discusses the fitting of parametric statistical models to data samples. Emphasis is placed on (i) how to recognize situations where the problem is non-standard, when parameter estimates behave unusually, and (ii) the use of parametric bootstrap resampling methods in analysing such problems.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Calcutta	519.544 CHE (Browse shelf(Opens below))	Available		IIMC-0146432

Total holds: 0

Includes bibliographical references (pages 393-406) and indexes.

This text discusses the fitting of parametric statistical models to data samples. Emphasis is placed on (i) how to recognize situations where the problem is non-standard, when parameter estimates behave unusually, and (ii) the use of parametric bootstrap resampling methods in analysing such problems.

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