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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">mireabulletin</journal-id><journal-title-group><journal-title xml:lang="ru">Russian Technological Journal</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Technological Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2782-3210</issn><issn pub-type="epub">2500-316X</issn><publisher><publisher-name>RTU MIREA</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32362/2500-316X-2018-6-6-74-83</article-id><article-id custom-type="elpub" pub-id-type="custom">mireabulletin-135</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>МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MATHEMATICAL MODELING</subject></subj-group></article-categories><title-group><article-title>СВОЙСТВА ОЦЕНКИ МАКСИМАЛЬНОГО ПРАВДОПОДОБИЯ ПОКАЗАТЕЛЯ РАСПРЕДЕЛЕНИЯ ПАРЕТО</article-title><trans-title-group xml:lang="en"><trans-title>PROPERTIES OF THE MAXIMUM LIKELIHOOD ESTIMATES OF THE EXPONENT OF PARETO DISTRIBUTION</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>Пулькин</surname><given-names>И. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Pulkin</surname><given-names>I. S.</given-names></name></name-alternatives><email xlink:type="simple">pulkin@mirea.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>Татаринцев</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Tatarintsev</surname><given-names>A.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>МИРЭА - Российский технологический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>MIREA - Russian Technological University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>28</day><month>12</month><year>2018</year></pub-date><volume>6</volume><issue>6</issue><fpage>74</fpage><lpage>83</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Пулькин И.С., Татаринцев А.В., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Пулькин И.С., Татаринцев А.В.</copyright-holder><copyright-holder xml:lang="en">Pulkin I.S., Татаринцев А.В.</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.rtj-mirea.ru/jour/article/view/135">https://www.rtj-mirea.ru/jour/article/view/135</self-uri><abstract><p>В настоящей работе исследуются статистические свойства оценки максимального правдоподобия показателя распределения Парето. Степенные законы распределения, такие, как распределение Парето, в последнее время привлекают пристальное внимание исследователей в самых различных областях науки и техники, от экономики и лингвистики до анализа интернет-трафика. Поэтому задача определения показателя степенного закона по заданной выборке имеет исключительную практическую важность. Аналитически доказано, что предлагаемая оценка является смещенной, хотя и состоятельной, и предложена формула, устраняющая смещение. Аналитически выведена формула для дисперсии несмещенной оценки. Кроме того, поставлена и аналитически решена задача о нахождении функции распределения и плотности вероятности этой оценки как случайной величины. Далее получены те же формулы для математического ожидания и дисперсии, но уже исходя из ранее найденной плотности вероятности. Полученные результаты могут быть использованы в различных областях человеческой деятельности, например, для предсказания интенсивности природных и техногенных катастроф.</p></abstract><trans-abstract xml:lang="en"><p>This paper investigates the statistical properties of maximum likelihood estimation index of the Pareto distribution. In recent years, power distribution laws such as Pareto distribution attract the attention of researchers in various fields of science and technology, from economics and linguistics to Internet traffic analysis. Therefore, the problem of determining the exponent of the power law for a given sample is of exceptional practical importance. It is analytically proved that this estimate is biased, although valid. A formula that eliminates the bias is proposed. Besides, a formula for the variance of the unbiased estimate is analytically derived. In addition, the problem of finding the distribution function and probability density of this estimate as a random variable is set and analytically solved. Next, a formula for mathematical expectation and dispersion based on previously determined probability density is found. The obtained results can be used in various fields of human activity, for example, to predict the intensity of natural and man-made disasters.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>распределение Парето</kwd><kwd>метод максимального правдоподобия</kwd><kwd>несмещенная оценка</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Pareto distribution</kwd><kwd>method of maximum likelihood</kwd><kwd>unbiased estimation</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">Afify A.Z., Yousof H.M., Butt N.S., Hamedani G.G. The transmuted Weibull-Pareto distribution // Pak. J. Statist. 2016. V. 32(3). 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