In-service training is education for employees to help them develop their professional skills in a specific discipline or occupation. This training takes place after an individual begins work responsibilities. On-line technology is supporting our learning in many ways. Both credit and degree pursuing are formal developing program. There is a need to developing a model of in-service training for...

This study uses data from the 1993 National Study of Post-secondary Faculty to examine the extent to which the concentration of women among part-time and nontenure-track faculty is related to family responsibilities. Descriptive and multinomial logistic regression analyses are used to examine the research questions. Disciplines Education | Higher Education | Social and Cultural Anthropology Thi...

Several characterizations of the joint multinomial distribution of two discrete random vectors are derived assuming conditional multinomial distributions.

The probability density function of a multiparameter multinomial distribution can be expressed in terms of the permanent of a suitable matrix. This fact and certain results on conditionally negative definite matrices are used to prove a conjecture due to Karlin and Rinott.

In order to deal with the problems in P2P systems such as unreliability of the Service, security risk and attacks caused by malicious peers, a novel trust model MSL-TM based on the Multinomial Subjective Logic is proposed. The model uses multinomial ratings and Dirichlet distribution to compute the expectation of the subjective opinion and accordingly draws the peer’s reputation value and risk ...

Consider a relaxed multinomial setup, in which there may be mistakes in observing the outcomes of the process—this is often the case in real applications. What can we say about the next outcome if we start learning about the process in conditions of prior ignorance? To answer this question we extend the imprecise Dirichlet model to the case of imperfect observations and we focus on posterior pr...

We present an eecient and accurate method to evaluate multivariate normal probabilities with arbitrary singular correlation matrices. The new method is applied to the construction of simultaneous conndence intervals and simultaneous all pairwise conndence intervals for multinomial proportions when the sample size is suuciently large.