茨城大学附属図書館 OPAC

目次情報: 続きを見る

	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

	Exact tests for contingency tables and discrete exponential families
	Markov chain Monte Carlo methods over discrete sample space
	Toric ideals and their Gröbner bases

目次情報: 続きを見る

	Mathematical models for infectious diesease
	The static model
	The dynamic model
	The stochastic model
	Implementation of models in MATLAB
	Data sources for modelling infectious diseases
	Estimation from serological data
	Parametric models for teh prevalence and the force of infection
	Non-parametric approaches to model the prevalence and force of infection
	Semi-parametric approaches to model the prevalence and force of infection
	A Bayesian approach
	Modelling the prevalence and the force of infection direction from antibody levels
	Modelling multivariate serological data
	Estimation from other data sources
	Estimating mixing patterns and Ro in a heterogenous population
	Modelling in a homogeneous population
	Modelling in a heterogeneous population
	Modelling AIDS outbreak data
	Modelling hepatitis C among injection drug users
	Modelling dengue
	Modelling bovine herpes virus in cattle

	Mathematical models for infectious diesease
	The static model
	The dynamic model