Process shift is an important input parameter in the economic design of control charts. Earlier x control chart designs considered constant shifts to occur in the mean of the process for a given assignable cause. This assumption has been criticized by many researchers since it may not be realistic to produce a constant shift whenever an assignable cause occurs. To overcome this difficulty...

Many surfaces of objects in our world are bounded by planar bilaterally symmetric gures. When these gures are imaged under orthographic projection a skewed symmetric contour results. In this paper a new fast, local method to recover skewed symmetries from curve segments is proposed. It can be applied to complete as well as to occluded contours. Furthermore, the skewed symmetry property is emplo...

The putative origin of replication in prokaryotic genomes can be located by a new method that finds short oligomers whose orientation is preferentially skewed around the origin. The skewed oligomer method is shown to work for all bacterial genomes and one of three archaeal genomes sequences to date, confirming known or predicted origins in most cases and in three cases (H. pylori, M. thermoauto...

Exact logistic regression has become an important analytical technique, especially in the pharmaceutical industry, since the usual asymptotic methods for analyzing small, skewed, or sparse data sets are unreliable. Inference based on enumerating the exact distributions of sufficient statistics for parameters of interest in a logistic regression model, conditional on the remaining parameters, is...

normal 0 false false false en-us x-none fa microsoftinternetexplorer4 aim : for the purpose of cost modeling, the semi-parametric single-index two-part model was utilized in the paper. furthermore, as functional gastrointestinal diseases which are well-known as common causes of illness among the society people in terms of both the number of patients and prevalence in a specific time interval, t...

When data are distributed normally, distanceand ranking-based outlier detection methods based on interquartile ranges, standard deviations, etc. can be simple yet powerful tools to understand variation. Data related to healthcare expenditures generally have skewed distributions, however, and may include many extreme values. Often these data are used in case-control or other studies to estimate ...

Health-Related Quality of Life (HRQoL) measures are becoming increasingly used in clinical trials as primary outcome measures. Investigators are now asking statisticians for advice on how to analyse studies that have used HRQoL outcomes.HRQoL outcomes, like the SF-36, are usually measured on an ordinal scale. However, most investigators assume that there exists an underlying continuous latent v...

As modern microprocessors employ deeper pipelines and issue multiple instructions per cycle, they are becoming increasingly dependent on good branch prediction. During the past ve years, researchers have shown that branch-prediction accuracy can be improved by basing predictions on the outcome of previous branches. Many such methods have been proposed, but they all share a common characteristic...

A highly skewed microdata contains some sensitive attribute values that occur far more frequently than others. Such data violates the “eligibility condition” assumed by existing works for limiting the probability of linking an individual to a specific sensitive attribute value. Specifically, if the frequency of some sensitive attribute value is too high, publishing the sensitive attribute alone...