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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">umovest</journal-id><journal-title-group><journal-title xml:lang="ru">Статистика и Экономика</journal-title><trans-title-group xml:lang="en"><trans-title>Statistics and Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2500-3925</issn><publisher><publisher-name>Plekhanov Russian University of Economics</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21686/2500-3925-2015-3-200-203</article-id><article-id custom-type="elpub" pub-id-type="custom">umovest-758</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>СТАТИСТИКА И МАТЕМАТИЧЕСКИЕ МЕТОДЫ В ЭКОНОМИКЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>STATISTICAL AND MATHEMATICAL METHODS  IN ECONOMICS</subject></subj-group></article-categories><title-group><article-title>ИСПОЛЬЗОВАНИЕ ТРЕНДОВО-ФАКТОРНОЙ МОДЕЛИ ДЛЯ ПОВЫШЕНИЯ ТОЧНО-СТИ ПРОГНОЗА</article-title><trans-title-group xml:lang="en"><trans-title>USE OF THE TREND-FACTOR MODEL TO IMPROVE THE ACCURACY FORECASTS</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>Орлова</surname><given-names>Ирина Владленовна</given-names></name><name name-style="western" xml:lang="en"><surname>Orlova</surname><given-names>Irina V.</given-names></name></name-alternatives><email xlink:type="simple">IVOrlova@fa.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>Турундаевский</surname><given-names>Виктор Борисович</given-names></name><name name-style="western" xml:lang="en"><surname>Turundaevsky</surname><given-names>Viktor B.</given-names></name></name-alternatives><email xlink:type="simple">vik_turund@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве РФ</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Московский государственный университет экономики, статистики и информатики (МЭСИ)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow State University of Economics, Statistics and Informatics (MESI)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>01</day><month>05</month><year>2015</year></pub-date><volume>0</volume><issue>3</issue><fpage>200</fpage><lpage>203</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Орлова И.В., Турундаевский В.Б., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Орлова И.В., Турундаевский В.Б.</copyright-holder><copyright-holder xml:lang="en">Orlova I.V., Turundaevsky V.B.</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://statecon.rea.ru/jour/article/view/758">https://statecon.rea.ru/jour/article/view/758</self-uri><abstract><p>В статье предложен метод повышения точноститрендово-факторноймоделив предположении, чтоприращениеэндогенной переменной зависит не только отвремени, ноиототклоненийотсвоих трендовэкзогенныхпеременных, доказанысоответствующиеформулы, отражающиеструктурудисперсииостатков трендово-факторной модели.</p></abstract><trans-abstract xml:lang="en"><p>In this paper we propose a method toimprove the accuracy of the trend-factormodel on the assumption that the increasein endogenous variable-screens dependnot only on time but also deviations fromtheir trend of exogenous variables, provedby the corresponding formulas that reﬂect the structure of the dispersion, these remnants of the trend-factor model.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>временные ряды</kwd><kwd>тренд</kwd><kwd>множественная регрессия</kwd><kwd>блочные матрицы</kwd><kwd>дисперсия остатков</kwd><kwd>time series</kwd><kwd>trend</kwd><kwd>multipleregression</kwd><kwd>block matrix</kwd><kwd>the variance ofresiduals</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">Айвазян С.А., Мхитарян В.С. 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