STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATION

Objective: development of statistical methods to systematize information in tourist sphere. Methods: statistical monitoring, data summarizing and grouping. Results: basing on official statistics, the necessity of tourist information systematization is proved. The features of the application of data...

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Main Author: A. O. Ovcharov
Format: Article
Language:English
Published: Tatar Educational Center “Taglimat” Ltd. 2014-03-01
Series:Russian Journal of Economics and Law
Subjects:
Online Access:https://www.rusjel.ru/jour/article/view/1583
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author A. O. Ovcharov
author_facet A. O. Ovcharov
author_sort A. O. Ovcharov
collection DOAJ
description Objective: development of statistical methods to systematize information in tourist sphere. Methods: statistical monitoring, data summarizing and grouping. Results: basing on official statistics, the necessity of tourist information systematization is proved. The features of the application of data summarizing and grouping in tourism statistics are described. For three kinds of statistical groupings, examples of official statistical reporting Rosstat are given, which prove their value in the case studies of the tourist industry. It is shown that in statistical practice the universal groups are used, combining different methods of data systematization. Scientific novelty: for the first time the opportunities are defined for statistical groupings to identify types, structures and relationships of objects, processes and phenomena in tourist sphere. The new term "statistical reductionism" is introduced, characterizing the problem of summarizing the whole statistical methodology to formal models designing. Practical value: opportunities for a broad use of data summarizing and grouping method to study the trends in the tourist industry development.
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spelling doaj.art-c5d6f64884b248eca1321e0f8714eea72024-03-20T08:16:46ZengTatar Educational Center “Taglimat” Ltd.Russian Journal of Economics and Law2782-29232014-03-01011371421581STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATIONA. O. Ovcharov0Institute of Economics, Management and Law (Kazan)Objective: development of statistical methods to systematize information in tourist sphere. Methods: statistical monitoring, data summarizing and grouping. Results: basing on official statistics, the necessity of tourist information systematization is proved. The features of the application of data summarizing and grouping in tourism statistics are described. For three kinds of statistical groupings, examples of official statistical reporting Rosstat are given, which prove their value in the case studies of the tourist industry. It is shown that in statistical practice the universal groups are used, combining different methods of data systematization. Scientific novelty: for the first time the opportunities are defined for statistical groupings to identify types, structures and relationships of objects, processes and phenomena in tourist sphere. The new term "statistical reductionism" is introduced, characterizing the problem of summarizing the whole statistical methodology to formal models designing. Practical value: opportunities for a broad use of data summarizing and grouping method to study the trends in the tourist industry development.https://www.rusjel.ru/jour/article/view/1583tourism statisticssummarygroupingtourist enterprise
spellingShingle A. O. Ovcharov
STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATION
Russian Journal of Economics and Law
tourism statistics
summary
grouping
tourist enterprise
title STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATION
title_full STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATION
title_fullStr STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATION
title_full_unstemmed STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATION
title_short STATISTIC METHODS OF TOURIST INFORMATION SYSTEMATIZATION
title_sort statistic methods of tourist information systematization
topic tourism statistics
summary
grouping
tourist enterprise
url https://www.rusjel.ru/jour/article/view/1583
work_keys_str_mv AT aoovcharov statisticmethodsoftouristinformationsystematization