The measurement of the process capability is a key part quantitative quality control, and indices are statistical measures capability. Six Sigma level represents maximum achievable capability, many enterprises have implemented improvement strategies. In recent years, studies investigated indices, including Qpk. However, Qpk contains two unknown parameters, namely δ γ, which difficult to use in ...

     The quadratic loss function has been used by decision-theoretic statisticians and economists for many years.  In this paper  the estimation of scale parameter under a bounded loss function, which is adequate for assessing quality and quality improvement, is considered with restriction to the principles of invariance and risk unbiasedness. An implicit form of minimum risk scale equivariant ...

Reliable effort estimation remains an ongoing challenge to software engineers. Accurate effort estimation is the state of art of software engineering, effort estimation of software is the preliminary phase. The relationship between the client and the business enterprise begins with the estimation of the software. Accurate effort estimation gives a good cost estimate.The authors have proposed an...

in many urban areas, groundwater has been exploited neglecting to wet and dry periods owing to of surface water deficit. in this study, using the percent of normal rainfall index, 36 year (1971-2008) were studied and a drought event and a wet event were determined. the reason to choose two consecutive years is the effect of early wet period on groundwater quality. physicochemical characteristic...

In today's highly competitive industrial environment due to fast technology development, quality practitioners will to detect out-of-control situations and take actions whenever is necessary as soon as possible. Accordingly, new statistical procedures have been enhanced incessantly both to handle high yield processes along with looking for methods of minimizing all quality cost. CCC-r chart, th...

Machine translation quality estimation is a challenging task in the WMT evaluation campaign. Feature extraction plays an important role in automatic quality estimation, and in this paper, we propose neural network features, including embedding features and cross-entropy features of source sentences and machine translations, to improve machine translation quality estimation. The sentence embeddi...