Jordanian Union Catalogue

Search Libraries Catalogue

Search

Options

Refine

Start Over

Show details

Duplicate Items

Add to My List

Print

Sorts and Limits

Sorts:

Title: Markov Bases in Algebraic Statistics by Satoshi Aoki, Hisayuki Hara, Akimichi Takemura.
Springer Series in Statistics,
Springer series in statistics,
Main Entry: Aoki, Satoshi. author.
Hara, Hisayuki. author.
Takemura, Akimichi. author.
SpringerLink (Online service)
Publisher: Springer New York : Imprint: Springer,
Publication Date: 2012.
Publication Place: New York, NY :
ISBN: 9781461437192
Subject: Statistics.
Algebra.
Mathematics.
Mathematical statistics.
Statistics.
Statistics, general.
Statistical Theory and Methods.
General Algebraic Systems.
Applications of Mathematics.
Series: Springer Series in Statistics, 199
Springer series in statistics, 199
Contents: Exact tests for contingency tables and discrete exponential families -- Markov chain Monte Carlo methods over discrete sample space -- Toric ideals and their Gröbner bases -- Definition of Markov bases and other bases -- Structure of minimal Markov bases -- Method of distance reduction -- Symmetry of Markov bases -- Decomposable models of contingency tables -- Markov basis for no-three-factor interaction models and some other hierarchical models -- Two-way tables with structural zeros and fixed subtable sums -- Regular factorial designs with discrete response variables -- Group-wise selection models -- The set of moves connecting specific fibers -- Disclosure limitation problem and Markov basis -- Gröbner basis techniques for design of experiments -- Running Markov chain without Markov bases -- References -- Index.

Related Records: Springer eBooks
Printed edition: 9781461437185

Cover Image:

http://images.amazon.com/images/P/9781461437192.jpg

	Agency:	Collection:	Item Type:	Status:	Barcode:	Media Type:
	JUST Main Library	Electronic Resources	No Circulation	Available Online	-632478	Book