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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">izmertech</journal-id><journal-title-group><journal-title xml:lang="ru">Измерительная техника</journal-title><trans-title-group xml:lang="en"><trans-title>Izmeritel`naya Tekhnika</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0368-1025</issn><issn pub-type="epub">2949-5237</issn><publisher><publisher-name>ФГУП "ВНИИФТРИ"</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">izmertech-314</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЩИЕ ВОПРОСЫ МЕТРОЛОГИИ И ИЗМЕРИТЕЛЬНОЙ ТЕХНИКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>GENERAL PROBLEMS OF METROLOGY AND MEASUREMENT TECHNIQUES</subject></subj-group></article-categories><title-group><article-title>Мощность k-выборочных критериев проверки однородности законов</article-title><trans-title-group xml:lang="en"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лемешко</surname><given-names>Б. Ю.</given-names></name></name-alternatives><email xlink:type="simple">ira-veterok@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>И. В. Веретельникова</surname></name></name-alternatives><email xlink:type="simple">ira-veterok@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Новосибирский государственный технический университет</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>07</day><month>02</month><year>2023</year></pub-date><volume>0</volume><issue>7</issue><fpage>3</fpage><lpage>7</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Лемешко Б.Ю., И. В. Веретельникова ., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Лемешко Б.Ю., И. В. Веретельникова .</copyright-holder><copyright-holder xml:lang="en">Лемешко Б.Ю., И. В. Веретельникова .</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.izmt.ru/jour/article/view/314">https://www.izmt.ru/jour/article/view/314</self-uri><abstract><p>Построены модели предельных распределений k -выборочного критерия однородности Андерсона-Дарлинга. Предложены новые k -выборочные критерии однородности, базирующиеся на использовании двухвыборочных критериев Смирнова, Лемана-Розенблатта и Андерсона-Дарлинга. Приведены модели предельных распределений для предложенных критериев. Проведён сравнительный анализ мощности множества k -выборочных критериев, включая критерии Жанга. k -выборочные критерии, критерии однородности, статистика критерия, распределение статистики, мощность критерия.</p></abstract><trans-abstract xml:lang="en"><p>Models of limiting distributions of the k-sample Anderson-Darling homogeneity test have been made. New k-sample homogeneity tests based on the Smirnov, Lehmann-Rosenblatt and Anderson-Darling two-sample test have been proposed. Models of the limiting distributions for the proposed test have been made. Comparative analysis of the power of the set of k-sample tests, including the Zhang test, has been carried out.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>k-samples tests</kwd><kwd>homogeneity tests</kwd><kwd>test statistic</kwd><kwd>distribution of statistics</kwd><kwd>power of test</kwd><kwd>k-выборочные критерии</kwd><kwd>критерии однородности</kwd><kwd>статистика критерия</kwd><kwd>распределение статистики</kwd><kwd>мощность критерия</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kiefer J. K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-v. Mises Tests // Annals of Mathematical Statistics. 1959. V. 30. No. 2. P. 420-447</mixed-citation><mixed-citation xml:lang="en">Kiefer J. K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-v. Mises Tests // Annals of Mathematical Statistics. 1959. V. 30. No. 2. P. 420-447</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Conover W. J. Several k-sample Kolmogorov-Smirnov tests // Annals of Mathematical Statistics. 1965. V. 36. No. 3. P. 1019-1026</mixed-citation><mixed-citation xml:lang="en">Conover W. J. Several k-sample Kolmogorov-Smirnov tests // Annals of Mathematical Statistics. 1965. V. 36. No. 3. P. 1019-1026</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Conover W. J. Practical Nonparametric Statistics. 3d ed. Wiley, 1999</mixed-citation><mixed-citation xml:lang="en">Conover W. J. Practical Nonparametric Statistics. 3d ed. Wiley, 1999</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Scholz F. W., Stephens M. A. K-Sample Anderson-Darling Tests // Journal of the American Statistical Association. 1987. V. 82. No. 399. P. 918-924</mixed-citation><mixed-citation xml:lang="en">Scholz F. W., Stephens M. A. K-Sample Anderson-Darling Tests // Journal of the American Statistical Association. 1987. V. 82. No. 399. P. 918-924</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang J. Powerful Two-Sample Tests Based on the Likelihood Ratio // Technometrics. 2006. V. 48. No. 1. P. 95-103</mixed-citation><mixed-citation xml:lang="en">Zhang J. Powerful Two-Sample Tests Based on the Likelihood Ratio // Technometrics. 2006. V. 48. No. 1. P. 95-103</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang J. Powerful goodness-of-fit and multi-sample tests // PhD Thesis. York University, Toronto. 2001. P. 113. [Электрон. ресурс]: http://www.collectionscanada.gc.ca/obj/s4/f2/dsk3/ftp05/NQ66371.pdf (дата обращения: 28.01.2018)</mixed-citation><mixed-citation xml:lang="en">Zhang J. Powerful goodness-of-fit and multi-sample tests // PhD Thesis. York University, Toronto. 2001. P. 113. [Электрон. ресурс]: http://www.collectionscanada.gc.ca/obj/s4/f2/dsk3/ftp05/NQ66371.pdf (дата обращения: 28.01.2018)</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang J., Wu Y. k-Sample tests based on the likelihood ratio // Computational Statistics &amp; Data Analysis. 2007. V. 51. No. 9. P. 4682-4691</mixed-citation><mixed-citation xml:lang="en">Zhang J., Wu Y. k-Sample tests based on the likelihood ratio // Computational Statistics &amp; Data Analysis. 2007. V. 51. No. 9. P. 4682-4691</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Большев Л. Н., Смирнов Н. В. Таблицы математической статистики. М.: Наука, 1983</mixed-citation><mixed-citation xml:lang="en">Большев Л. Н., Смирнов Н. В. Таблицы математической статистики. М.: Наука, 1983</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Lehmann E. L. Consistency and unbiasedness of certain nonparametric tests // Annals of Mathematical Statistics. 1951. V. 22. № 1. P. 165-179</mixed-citation><mixed-citation xml:lang="en">Lehmann E. L. Consistency and unbiasedness of certain nonparametric tests // Annals of Mathematical Statistics. 1951. V. 22. № 1. P. 165-179</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Rosenblatt M. Limit theorems associated with variants of the von Mises statistic // Annals of Mathematical Statistics. 1952. V. 23. P. 617-623</mixed-citation><mixed-citation xml:lang="en">Rosenblatt M. Limit theorems associated with variants of the von Mises statistic // Annals of Mathematical Statistics. 1952. V. 23. P. 617-623</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Pettitt A. N. A two-sample Anderson-Darling rank statistic // Biometrika. 1976. V. 63. No.1. P. 161-168</mixed-citation><mixed-citation xml:lang="en">Pettitt A. N. A two-sample Anderson-Darling rank statistic // Biometrika. 1976. V. 63. No.1. P. 161-168</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Лемешко Б. Ю. Критерии проверки гипотез об однородности. Руководство по применению. М.: ИНФРА-М, 2017</mixed-citation><mixed-citation xml:lang="en">Лемешко Б. Ю. Критерии проверки гипотез об однородности. Руководство по применению. М.: ИНФРА-М, 2017</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Лемешко Б. Ю., Лемешко С. Б., Веретельникова И. В. О применении критериев проверки однородности законов распределения // Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2017. № 41. С. 24-31</mixed-citation><mixed-citation xml:lang="en">Лемешко Б. Ю., Лемешко С. Б., Веретельникова И. В. О применении критериев проверки однородности законов распределения // Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2017. № 41. С. 24-31</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Lemeshko B. Y., Veretelnikova I. V.,. Lemeshko S. B, Novikova A. Y. Application of Homogeneity Tests: Problems and Solution // In: Rykov V., Singpurwalla N., Zubkov A. (eds) Analytical and Computational Methods in Probability Theory. ACMPT 2017. Lecture Notes in Computer Science.: monograph. Springer. 2017. No. 10684. P. 461-475</mixed-citation><mixed-citation xml:lang="en">Lemeshko B. Y., Veretelnikova I. V.,. Lemeshko S. B, Novikova A. Y. Application of Homogeneity Tests: Problems and Solution // In: Rykov V., Singpurwalla N., Zubkov A. (eds) Analytical and Computational Methods in Probability Theory. ACMPT 2017. Lecture Notes in Computer Science.: monograph. Springer. 2017. No. 10684. P. 461-475</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Лемешко Б. Ю., Лемешко С. Б. О сходимости распределений статистик и мощности критериев однородности Смирнова и Лемана-Розенблатта // Измерительная техника. 2005. № 12. С. 9-14</mixed-citation><mixed-citation xml:lang="en">Лемешко Б. Ю., Лемешко С. Б. О сходимости распределений статистик и мощности критериев однородности Смирнова и Лемана-Розенблатта // Измерительная техника. 2005. № 12. С. 9-14</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">ISW-Программная система статистического анализа одномерных наблюдений. [Электрон. ресурс]: https://ami.nstu.ru/~headrd/ISW.htm</mixed-citation><mixed-citation xml:lang="en">ISW-Программная система статистического анализа одномерных наблюдений. [Электрон. ресурс]: https://ami.nstu.ru/~headrd/ISW.htm</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
