This article uses data collected from a telephone survey of Taiwanese residents to investigate the live performance attendances at four types of performing arts: contemporary drama, traditional theatre, dance and music. We estimate a Multivariate Probit (MVP) model to characterize the audience...

This paper uses the logistic regression model and the count data model to identify the determinants of the likelihood and frequency of attendance at performing arts events in Taiwan. Using data collected from a telephone survey, we find that education and income, being determinants of the...

Assuming homogeneous variance in a normal regression model is not always appropriate as invalid standard inference procedures may result from the improper estimation of the standard error when the disturbance process in a regression model presents heteroscedasticity. When both outliers and...

n this paper, we consider the problem of outliers in incomplete multivariate data, when the aim is to estimate a measure of mean and covariance as it is the case for example in factor analysis. In such a situation the ER algorithm of Little and Smith (1987) which combines the EM algorithm for...

A relatively simple approach is proposed to evaluate the strength of brands from the viewpoint of consumers. It employs Principal Component Analysis (PCA), in which the coefficients of the first principal component are used as the weight for developing our study's final ‘product’, the Brand...