In the present article, we propose a nonparametric cumulative sum control chart for process dispersion based on the sign statistic using in-control deciles. The chart can be viewed as modified control chart due to Amin et al, 6 which is based on in-control quartiles. An average run length performance of the proposed chart is studied using Markov chain approach. An effect of nonnormality on cumulative sum S 2 chart is studied. The study reveals that the proposed cumulative sum control chart is a better alternative to parametric cumulative sum S 2 chart, when the process distribution is non-normal. We provide an illustration of the proposed cumulative sum control chart.
This paper develops the cascaded models for classification of PIMA Indian diabetes database. The k-nearest neighbour method is used to impute the missing data and the processed data is used for further classification. This is done in two steps, in first step k-means clustering algorithm is used for extracting hidden patterns in data set then in second step the classification is done by using suitable classifier. k-means algorithm combined with artificial neural network classifier and k-means algorithm combined with logistic regression classifier achieve classification accuracy above 98%.
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