نتایج جستجو برای: attribute control chart

تعداد نتایج: 1411566  

Journal: :novelty in biomedicine 0
haleh kangari faculty of rehabilitation, shahid beheshti university of medical sciences, tehran, iran alireza akbarzadeh bagheban faculty of rehabilitation, shahid beheshti university of medical sciences, tehran, iran atiyeh khomamizadeh faculty of rehabilitation, shahid beheshti university of medical sciences, tehran, iran saeed rahmani faculty of rehabilitation, shahid beheshti university of medical sciences, tehran, iran

background: taking visual acuity is an important part of an eye routine examination. this study was conducted to compare visual acuity measured using an iranian digital tumbling e chart with visual acuity measured using an italian digital tumbling e chart as a familiar foreign chart. materials and methods: this study was carried out on 200 participants (400 eyes; healthy n=40, glaucoma n=40, re...

The multivariate exponentially weighted moving average (MEWMA) control chart is one of the best statistical control chart that are usually used to detect simultaneous small deviations on the mean of more than one cross-correlated quality characteristics. The economic design of MEWMA control charts involves solving a combinatorial optimization model that is composed of a nonlinear cost function ...

Journal: :International Journal of Research in Advent Technology 2019

Journal: :American Journal of Theoretical and Applied Statistics 2020

Journal: :Journal of Modern Applied Statistical Methods 2006

Journal: :Computational Statistics & Data Analysis 2012
M. A. Graham Amitava Mukherjee Subha Chakraborti

Distribution-free (nonparametric) control charts provide a robust alternative to a data analyst when there is lack of knowledge about the underlying distribution. A two-sided nonparametric Phase II exponentially weighted moving average (EWMA) control chart, based on the exceedance statistics (EWMA-EX), is proposed for detecting a shift in the location parameter of a continuous distribution. The...

Journal: :Mathematics 2022

The application of statistical methods to monitor a process is critical ensure its stability. Statistical control aims detect and identify abnormal patterns that disrupt the natural behaviour process. Most studies in literature are focused on recognising single patterns. However, many industrial processes, more than one unusual chart pattern may appear simultaneously, i.e., concurrent (CCP). Th...

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