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Статистика. Ч. 1., Основы статистического анализа

учебное пособие

Статистика. Ч. 1., Основы статистического анализа

Abstract

Соответствует образовательным стандартам по направлениям подготовки бакалавриата: 01.03.05 «Статистика», 38.03.01 «Экономика», 38.03.02 «Менеджмент», 38.03.03 «Управление персоналом», 38.03.04 «Государственное и муниципальное управление», 38.03.05 «Бизнес-информатика», 38.03.06 «Торговое дело», 3803.07 «Товароведение», 43.03.01 «Сервис», 43.03.02 «Туризм», 43.03.03 «Гостиничное дело». Ð’ ÑÐ¿Ð¾Ñ Ñƒ цифровой трансформации и роста количества Ð´Ð°Ð½Ð½Ñ‹Ñ ÑÑ‚Ð°Ñ‚Ð¸ÑÑ‚Ð¸Ñ‡ÐµÑÐºÐ¸Ðµ методы становятся как никогда актуальны. Нет такой отрасли, где бы ни пригодилось умение анализировать результаты и строить прогнозы. Область Ð±Ð¾Ð»ÑŒÑˆÐ¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ‚ получать принципиально новые модели, обладающие высочайшей точностью прогнозирования. Предназначено для студентов, Ð¾Ð±ÑƒÑ‡Ð°ÑŽÑ‰Ð¸Ñ ÑÑ по направлениям «Экономика», «Менеджмент», «Торговое дело» и др., и преподавателей, а также для широкого круга читателей, Ð¸Ð½Ñ‚ÐµÑ€ÐµÑÑƒÑŽÑ‰Ð¸Ñ ÑÑ данной тематикой.

Corresponds to the educational standards for bachelor’s degree programs: 01.03.05 “Statistics”, 38.03.01 “Economics”, 38.03.02 “Management”, 38.03.03 “Personnel Management”, 38.03.04 “State and Municipal Management”, 38.03.05 “Business Informatics”, 38.03.06 “Commerce”, 38.03.07 “Commodity science”, 43.03.01 “Service”, 43.03.02 “Tourism”, 43.03.03 “Hotel Management”. In the era of digital transformation and increasing amounts of data, statistical methods are more relevant than ever. There is no industry that does not need the ability to analyze results and make forecasts. The field of big data allows obtaining fundamentally new models with the highest forecasting accuracy. It is intended for students studying in the majors “Economics”, “Management”, “Commerce”, etc., and teachers, as well as for a wide range of readers interested in this subject.

Keywords

Статистический анализ, экономическая статистика, учебники и пособия для вузов

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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