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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">caht</journal-id><journal-title-group><journal-title xml:lang="ru">Научный вестник МГТУ ГА</journal-title><trans-title-group xml:lang="en"><trans-title>Civil Aviation High Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-0619</issn><issn pub-type="epub">2542-0119</issn><publisher><publisher-name>Moscow State Technical University of Civil Aviation (MSTU CA)</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">caht-226</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Метод когорт и его применение в страховой статистике</article-title><trans-title-group xml:lang="en"><trans-title>COGORT METHOD AND OTS APPLICATIONS TO INSURANCE STATICTICS</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>Касимов</surname><given-names>Ю. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Kasimov</surname><given-names>Yu. F.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.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>Керимов</surname><given-names>А. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Kerimov</surname><given-names>A. K.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Финансовый университет при правительстве РФ</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>07</day><month>11</month><year>2016</year></pub-date><volume>0</volume><issue>207</issue><fpage>5</fpage><lpage>16</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Касимов Ю.Ф., Керимов А.К., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Касимов Ю.Ф., Керимов А.К.</copyright-holder><copyright-holder xml:lang="en">Kasimov Y.F., Kerimov A.K.</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://avia.mstuca.ru/jour/article/view/226">https://avia.mstuca.ru/jour/article/view/226</self-uri><abstract><p>В работе рассмотрен так называемый когортный метод учета агрегированных данных страховых портфелей. В страховой статистике систематизация и обработка совокупных данных по выписанным полисам, премиям и страховым платежам часто производится с грубыми ошибками, поскольку точно не задаются критерии отнесения выписанных полисов и связанных с ними платежей к анализируемой статистической совокупности. Кроме того, часто четко не указывается схема расчета агрегированных статистических характеристик, связанных с этими полисами. В работе дано детальное и строгое изложение как метода формирования различных когорт данных для заданного периода оценивания агрегированных характеристик, так и методов расчета интересующих страховых показателей (абсолютных и относительных) для этих когорт. Знание этих методов необходимо для корректной оценки страховых премий и резервов.</p></abstract><trans-abstract xml:lang="en"><p>The paper considers the so-called cohort method of accounting aggregates insurance portfolios. In insurance statistics systematization and processing of aggregate data on the issued policies, premiums and insurance payments are often made with gross errors, because ones don't set the criteria written policies and related payments to the analyzed statistical universe. Besides, it is often not clearly specify the scheme of calculation of aggregate statistical associated with these policies. The study gives a detailed and rigorous presentation as a method of formation of different cohorts data for a specified period of assessment the aggregated characteristics and methods of calculation of interest to insurance of indicators (absolute and relative) for these cohorts. The knowledge of these methods is necessary for a correct assessment of insurance premiums and reserves.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>когорты полисов</kwd><kwd>премий и убытков</kwd><kwd>способы учета</kwd><kwd>полный и частичный методы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>cohort policies</kwd><kwd>premiums and losses</kwd><kwd>accounting methods</kwd><kwd>complete and partial methods</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">Burrows R.A.P. Aviation Insurance, Study Course P60. The Chartered.</mixed-citation><mixed-citation xml:lang="en">Burrows R.A.P. Aviation Insurance, Study Course P60. 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