Robust Minimax Location Parameter Estimation Under Zero-one Loss with a Compact Parameter Space

Robust Minimax Location Parameter Estimation Under Zero-one Loss with a Compact Parameter Space
Author :
Publisher :
Total Pages : 166
Release :
ISBN-10 : OCLC:244920118
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Robust Minimax Location Parameter Estimation Under Zero-one Loss with a Compact Parameter Space by : Osman Mehmet Zeytinoglu

Download or read book Robust Minimax Location Parameter Estimation Under Zero-one Loss with a Compact Parameter Space written by Osman Mehmet Zeytinoglu and published by . This book was released on 1985 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Robust Minimax Location Parameter Estimation Under Zero-one Loss with a Compact Parameter Space Related Books

Robust Minimax Location Parameter Estimation Under Zero-one Loss with a Compact Parameter Space
Language: en
Pages: 166
Authors: Osman Mehmet Zeytinoglu
Categories:
Type: BOOK - Published: 1985 - Publisher:

DOWNLOAD EBOOK

Minimax Parameter Estimation Under Generalized Quadratic Loss with a Compact Parameter Space
Language: en
Pages: 42
Authors: Rafael Antonio Padilla Lovera
Categories: Estimation theory
Type: BOOK - Published: 1974 - Publisher:

DOWNLOAD EBOOK

Minimax Parameter Estimation Under Generalized Quadratic Loss with a Compact Parameter Space
Language: en
Pages: 0
Authors: Rafael Antonio Padilla Lovera
Categories: Estimation theory
Type: BOOK - Published: 1974 - Publisher:

DOWNLOAD EBOOK

Dissertation Abstracts International
Language: en
Pages: 766
Authors:
Categories: Dissertations, Academic
Type: BOOK - Published: 1993-05 - Publisher:

DOWNLOAD EBOOK

Robustness of Statistical Methods and Nonparametric Statistics
Language: en
Pages: 177
Authors: Dieter Rasch
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This volume contains most of the invited and contributed papers presented at the Conference on Robustness of Statistical Methods and Nonparametric Statistics he