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It can not only generate traditional tests (including the Kolmogorov\u2013Smirnov, Cram\u00e9r\u2013von Mises and Anderson\u2013Darling tests) but also produce new types of omnibus tests, which are generally much more powerful than the old ones.<\/jats:p>","DOI":"10.1111\/1467-9868.00337","type":"journal-article","created":{"date-parts":[[2003,5,6]],"date-time":"2003-05-06T15:13:15Z","timestamp":1052233995000},"page":"281-294","source":"Crossref","is-referenced-by-count":185,"title":["Powerful Goodness-of-fit Tests Based on the Likelihood Ratio"],"prefix":"10.1093","volume":"64","author":[{"given":"Jin","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Manitoba , Winnipeg , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2002,6,20]]},"reference":[{"key":"2023040108504947400_","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1214\/aoms\/1177729437","article-title":"Asymptotic theory of certain \u2018\u2018goodness of fit'' criteria based on stochastic processes","volume":"23","author":"Anderson","year":"1952","journal-title":"Ann. 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