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- W2053505094 abstract "This article studies the problem of testing and locating changepoints in stochas¬tic ordering. We propose a sequential process to detect the changepoints from two multinomial distributions. We also obtain the maximum likelihood estimators of two multinomial probability vectors under the assumption that the cumulative distribu¬tions have a changepoint. Asymptotically unbiased Akaike's information criterion is used to estimate the changepoints of two discrete probability distributions. Finally. we demonstrate our procedure by studying a data set pertaining to average daily insulin dose from the Boston Collaborative Drug Surveillance Program and locate the changepoints in stochastic ordering." @default.
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- W2053505094 date "2000-01-01" @default.
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- W2053505094 title "Change-points in stochastic ordering" @default.
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- W2053505094 doi "https://doi.org/10.1080/03610920008832490" @default.
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