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- W2091230523 abstract "We present a variance shift model for a linear measurement error model using the corrected likelihood of Nakamura (1990). This model assumes that a single outlier arises from an observation with inflated variance. The corrected likelihood ratio and the score test statistics are proposed to determine whether the<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mrow><mml:mi>i</mml:mi></mml:mrow></mml:math>th observation has an inflated variance. A parametric bootstrap procedure is used to obtain empirical distributions of the test statistics and a simulation study has been used to show the performance of proposed tests. Finally, a real data example is given for illustration." @default.
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- W2091230523 date "2014-01-01" @default.
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- W2091230523 title "A Variance Shift Model for Detection of Outliers in the Linear Measurement Error Model" @default.
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- W2091230523 doi "https://doi.org/10.1155/2014/396875" @default.
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