The Transferable Belief Model is a subjectivist model of uncertainty in which an agent’s beliefs at a given time are modeled using the formalism of belief functions. Belief functions that enter the model are usually either elicited from experts, or must be constructed from observation data. There are, however, few simple and operational methods available for building belief functions from data....

This paper describes procedures for estimating single-administration classification consistency and accuracy using the multinomial and compound multinomial models for tests with complex item scoring. Various classification consistency and accuracy indices are discussed. The procedures are illustrated using a real data set obtained from a test consisting of both polytomous and dichotomous items.

mlogit is a package for R which enables the estimation the multinomial logit models with individual and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented.

mlogit is a package for R which enables the estimation of the multinomial logit models with individual and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented.

A mixed-effects multinomial logistic regression model is described for analysis of clustered or longitudinal nominal or ordinal response data. The model is parameterized to allow flexibility in the choice of contrasts used to represent comparisons across the response categories. Estimation is achieved using a maximum marginal likelihood (MML) solution that uses quadrature to numerically integra...

The acquisition process of consumer durables is a ‘sequence’ of purchase events. Priority-pattern research exploits this ‘sequential order’ to describe a prototypical acquisition order for durables. This paper adds a predictive perspective to increase managerial relevance. Besides order information, the acquisition sequence also reveals precise timing between purchase events (‘sequential durati...

A Dirichlet, with variables π = {π 1 ,. .. , π Ω } and parameters λ = {λ 1 ,. .. , λ Ω }: D(π|λ) = Γ(Ω ω=1 λ ω) Ω ω=1 Γ(λ ω) Ω ω=1 π λω−1 ω (1) where π 1 ,. .. , π Ω ≥ 0 and λ 1 ,. .. , λ Ω > 0 and Ω ω=1 π ω = 1. The Dirichlet distribution is the conjugate to the multinomial density. A symmetric Dirichlet density has all the λ's the same value, e.g. λ 0 , and the density reduces to: