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Asymptotic Theory of Goodness of Fit Tests when Parameters are Present:A Surrey *
Author:
Georg Neuhaus a
| Affiliation: | a Univ. Hamburg, Inst. f. Math. Stochastik der Universit t, Bundesstr. 55, Hamburg, BRD |
DOI:
10.1080/02331887908801502
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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(English)
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Abstract
A survey is given on certain aspects of the classical goodness of fit tests (the x2Cram
 r-von Mises, Kolmogorov-Smirnov tests) when parameters are present and have to be estimated from the data.
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1Lecture held at the 10th European Meeting of Statisticians, Leuven (Belgium) - August 22-26, 1977
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| Keywords: Goodness of fit tests; estimated parameters; contiguous alternatives; weak; convergence; HILBERT-space-approach; function space approach |
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