Estimation in Semiparametric Models: Some Recent Developments (Lecture Notes in Statistics) (Lecture Notes in Statistics, 63, Band 63) - Softcover

Pfanzagl, Johann

 
9780387972381: Estimation in Semiparametric Models: Some Recent Developments (Lecture Notes in Statistics) (Lecture Notes in Statistics, 63, Band 63)

Inhaltsangabe

Assume one has to estimate the mean J x P( dx) (or the median of P, or any other functional t;;(P)) on the basis ofi.i.d. observations from P. Ifnothing is known about P, then the sample mean is certainly the best estimator one can think of. If P is known to be the member of a certain parametric family, say {Po: {) E e}, one can usually do better by estimating {) first, say by {)(n)(.~.), and using J XPo(n)(;r.) (dx) as an estimate for J xPo(dx). There is an "intermediate" range, where we know something about the unknown probability measure P, but less than parametric theory takes for granted. Practical problems have always led statisticians to invent estimators for such intermediate models, but it usually remained open whether these estimators are nearly optimal or not. There was one exception: The case of "adaptivity", where a "nonparametric" estimate exists which is asymptotically optimal for any parametric submodel. The standard (and for a long time only) example of such a fortunate situation was the estimation of the center of symmetry for a distribution of unknown shape.

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Über die Autorin bzw. den Autor

Johann Pfanzagl completed his degree in Mathematics at the University of Vienna in 1951 as a student of Johann Radon and Edmund Hlawka. After working for several years as a Statistician at the Chamber of Commerce in Austria he became a Professor of Statistics at the University of Vienna in 1959, and at the University of Cologne in 1960. He is one of the few remaining scholars who, in the early days, contributed to the development of statistical theory using sophisticated mathematical tools.

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9781461233978: Estimation in Semiparametric Models: Some Recent Developments

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ISBN 10:  1461233976 ISBN 13:  9781461233978
Verlag: Springer, 2012
Softcover