Full Product Details
Author: Ryan Martin ,
Chuanhai Liu
Publisher: Taylor & Francis Inc
Imprint: Chapman & Hall/CRC
Volume: 145
Dimensions:
Width: 15.60cm
, Height: 2.00cm
, Length: 23.40cm
Weight: 0.540kg
ISBN: 9781439886489
ISBN 10: 1439886482
Pages: 256
Publication Date: 25 September 2015
Audience:
General/trade
,
College/higher education
,
Professional and scholarly
,
General
,
Tertiary & Higher Education
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
The book ... delivers on its promise. It should be read by all statisticians with an interest in the foundations and development of the statistical methods for inference. ~Michael J. Lew, University of Melbourne
The book . . . delivers on its promise. It should be read by all statisticians with an interest in the foundations and development of the statistical methods for inference. ~Michael J. Lew, University of Melbourne . . . the book covers the motivations for the IM framework, the basic theory behind its calibration properties, a number of its applications and gives a new way of thinking compared to existing schools of thought on statistical inference ~Apostolos Batsidis (Ioannina), Zentralblatt MATH
The book . . . delivers on its promise. It should be read by all statisticians with an interest in the foundations and development of the statistical methods for inference. ~Michael J. Lew, University of Melbourne . . . the book covers the motivations for the IM framework, the basic theory behind its calibration properties, a number of its applications and gives a new way of thinking compared to existing schools of thought on statistical inference ~Apostolos Batsidis (Ioannina), Zentralblatt MATH The book . . . delivers on its promise. It should be read by all statisticians with an interest in the foundations and development of the statistical methods for inference. ~Michael J. Lew, University of Melbourne . . . the book covers the motivations for the IM framework, the basic theory behind its calibration properties, a number of its applications and gives a new way of thinking compared to existing schools of thought on statistical inference ~Apostolos Batsidis (Ioannina), Zentralblatt MATH
The book . . . delivers on its promise. It should be read by all statisticians with an interest in the foundations and development of the statistical methods for inference. ~Michael J. Lew, University of Melbourne . . . the book covers the motivations for the IM framework, the basic theory behind its calibration properties, a number of its applications and gives a new way of thinking compared to existing schools of thought on statistical inference ~Apostolos Batsidis (Ioannina), Zentralblatt MATH
Author Information
Ryan Martin is an associate professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago. Chuanhai Liu is a professor in the Department of Statistics at Purdue University.
