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- W66986543 abstract "summary in the literature there have been many suggestions on how to parametrize models. some properties you can seek are (1) stability of variance of the mle; (2) normal likelihood; (3) zero asymptotic skewness of the mle; (4) asymptotic unbiasedness of the mle. the parametrizations corresponding to these demands are found in the one‐dimensional curved exponential family. they all belong to a general class of transformations, but they are in general not identical. the transformations in this class are characterized by a differential equation. the transformations are identical in the nonlinear normal regression model." @default.
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- W66986543 date "1982-01-01" @default.
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- W66986543 title "Parametrizations of Non-Linear Models" @default.
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- W66986543 doi "https://doi.org/10.1111/j.2517-6161.1982.tb01205.x" @default.
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