While industrial marketing managers have long been concerned about the representativeness of sample information, few direct measures have been available of how accurately the sample represents the population. Suggests the use of characteristics available from sources external to the survey...

In this paper, we make use of state space models to investigate the presence of stochastic trends in economic time series. A model is specified where such a trend can enter either in the autoregressive representation or in a separate state equation. Tests based on the former are analogous to...

Many common statistical models can be specified as linear models with restrictions imposed on the parameters. A large amount of these models impose restrictions which do not allow for the analytical construction of the probability density function (pdf) of the parameters given the restrictions....

The purpose of this paper is to formulate procedures for the analysis of the time series behaviour of micro panel data subject to censoring. We assume an autoregressive model with random effects for a latent variable which is only partly observed due to a selection mechanism. Our methods are...

The paper highlights the importance of the representativeness of survey samples, using the 1992 British Crime Survey as an example. The success with which different demographic characteristics are represented in the survey sample is addressed by comparison to the 1991 Census Small Area...

Although logistics research contains numerous applications of computer simulation modelling, logistics literature has outlined no standard procedure for determining the appropriate sample size when employing simulation methodology in logistics research. Addresses this deficiency by considering...