We introduce an analysis of variance usable for two-factor hierarchical models where observations are incompletely sampled from unbalanced populations of finite effects. Our new approach enables unbiased estimation of the variance components for this type of model and allows hypothesis testing...

The aim of this paper is to achieve a reliable estimate of the output gap for Italy through the development of several models within the class of the unobserved component time series models. These formulations imply the decomposition of output into a trend component (the 'potential output') and...

Advances in computation mean that it is now possible to fit a wide range of complex models to data, but there remains the problem of selecting a model on which to base reported inferences. Following an early suggestion of Box & Tiao, it seems reasonable to seek 'inference robustness' in reported...

Duncan's economic model of Shewhart's original x-super-¯ chart has established its optimal and economic application for processes with the Markovian failure characteristic. As the sample statistics show some indications of process variations, the variable-sampling-interval (VSI) control charts...

We propose a new bivariate negative binomial model with constant correlation structure, which was derived from a contagious bivariate distribution of two independent Poisson mass functions, by mixing the proposed bivariate gamma type density with constantly correlated covariance structure...

In connection with assessing how an ongoing development in fisheries management may change fishing activity, evaluation of Total Factor Productivity (TFP) change over a period, including efficiency, scale and technology changes, is an important tool. The Malmquist index, based on distance...

In this paper we introduce a spectral control chart that is designed to detect the onset of cyclic behaviour in a process, even in the presence of multiple cycles. This new spectral control chart is based on the periodogram test proposed by Bølviken (1983a, b). While no more difficult to...

We investigate a Bayesian method for the segmentation of muscle fibre images. The images are reasonably well approximated by a Dirichlet tessellation, and so we use a deformable template model based on Voronoi polygons to represent the segmented image. We consider various prior distributions for...

In recent research, Elliott et al. (1996) have shown the use of local-to-unity detrending via generalized least squares (GLS) to substantially increase the power of the Dickey-Fuller (1979) unit root test. In this paper the relationship between the extent of detrending undertaken, determined by...

In this research, Response Surface Methodology (RSM) is employed to characterize the influence of material configuration on the damage tolerance and residual strength characteristics of sandwich composites. Test specimens used were comprised of carbon-epoxy woven fabric facesheets, and Nomex...