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• W2938926128 abstract "Profile monitoring is defined as the act of utilizing regression and quality control techniques to monitor the functional relationship between a response variable and one or more regressors. Most of the previous studies focused either on parametric modeling of profiles or assumed the response variable followed a normal distribution, but that is an unrealistic scenario in most cases. In this study, a Haar wavelet approach is applied for profile monitoring of Poisson data. We showed via simulation that, Haar wavelet can outperform parametric models when there is a sudden jump in the profile and concluded with a case study." @default.
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• W2938926128 date "2019-04-15" @default.
• W2938926128 modified "2023-10-17" @default.
• W2938926128 title "A wavelet approach for profile monitoring of Poisson distribution with application" @default.
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• W2938926128 doi "https://doi.org/10.1080/03610918.2018.1563151" @default.
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