Goodness-of-fit test for discrete and censored data, based on the empirical distribution function

In this thesis two general problems concerning goodness-of- fit statistics based on the empirical distribution are considered. The first concerns the problem of adapting Kolmogorov-Smirnov type statistics to test for discrete populations. The significance points of the statistics are given and vario...

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Main Author: Pettitt, Anthony
Format: Thesis (University of Nottingham only)
Language:English
Published: 1973
Subjects:
Online Access:https://eprints.nottingham.ac.uk/11257/
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author Pettitt, Anthony
author_facet Pettitt, Anthony
author_sort Pettitt, Anthony
building Nottingham Research Data Repository
collection Online Access
description In this thesis two general problems concerning goodness-of- fit statistics based on the empirical distribution are considered. The first concerns the problem of adapting Kolmogorov-Smirnov type statistics to test for discrete populations. The significance points of the statistics are given and various power comparisons made. The second problem concerns testing for goodness-of-fit with censored data using the Cramér-von Mises type statistics. The small and large sample distributions are given and the tests are modified so that they can be used to test for the normal and the exponential distributions. The asymptotic theory is developed. Percentage points for the statistics are given and various small sample and large sample power studies are made, for the various cases.
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format Thesis (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
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language English
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publishDate 1973
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spelling nottingham-112572025-02-28T11:12:18Z https://eprints.nottingham.ac.uk/11257/ Goodness-of-fit test for discrete and censored data, based on the empirical distribution function Pettitt, Anthony In this thesis two general problems concerning goodness-of- fit statistics based on the empirical distribution are considered. The first concerns the problem of adapting Kolmogorov-Smirnov type statistics to test for discrete populations. The significance points of the statistics are given and various power comparisons made. The second problem concerns testing for goodness-of-fit with censored data using the Cramér-von Mises type statistics. The small and large sample distributions are given and the tests are modified so that they can be used to test for the normal and the exponential distributions. The asymptotic theory is developed. Percentage points for the statistics are given and various small sample and large sample power studies are made, for the various cases. 1973 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/11257/1/468818.pdf Pettitt, Anthony (1973) Goodness-of-fit test for discrete and censored data, based on the empirical distribution function. PhD thesis, University of Nottingham. goodness-of-fit statistics empirical distribution
spellingShingle goodness-of-fit statistics
empirical distribution
Pettitt, Anthony
Goodness-of-fit test for discrete and censored data, based on the empirical distribution function
title Goodness-of-fit test for discrete and censored data, based on the empirical distribution function
title_full Goodness-of-fit test for discrete and censored data, based on the empirical distribution function
title_fullStr Goodness-of-fit test for discrete and censored data, based on the empirical distribution function
title_full_unstemmed Goodness-of-fit test for discrete and censored data, based on the empirical distribution function
title_short Goodness-of-fit test for discrete and censored data, based on the empirical distribution function
title_sort goodness-of-fit test for discrete and censored data, based on the empirical distribution function
topic goodness-of-fit statistics
empirical distribution
url https://eprints.nottingham.ac.uk/11257/