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PREDICTION OF THE CONSTRUCTION COMPANY SALES DEVELOPMENT BY USING TIME SERIES ANALYSIS METHOD - LINEAR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATIONS

Ing. Eva Ondruskova, Ing. Eva Vitkova

First published: 2017-06-29https://doi.org/10.5593/sgem2017/53/s21.078View metrics

Abstract

Information regarding activity on the market provides valuable source for the future managerial decisions of each company. They are very important for achieving company strategic goals which represent part of a long-term strategic management concept of the company. Highly-valued information concerns especially the sales and the expenses development. Development of set company's values can be predicted to a certain extent using mathematical methods. Company can adequately respond to its future predicted state of variables which significantly affects company result. The aim of this paper is to perform sales development prediction for the chosen company with the use of a selected mathematical method which is time series analysis method. This prediction is modified by the amount of adjustment determined on the basis of verifying the accuracy of the sales prediction of the previous years. This method was chosen based on the obtained values of the coefficient of determination. Linear Regression Model with Logarithmic Transformations was chosen.

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Publication details

Title
PREDICTION OF THE CONSTRUCTION COMPANY SALES DEVELOPMENT BY USING TIME SERIES ANALYSIS METHOD - LINEAR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATIONS
Authors
Ing. Eva Ondruskova, Ing. Eva Vitkova
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; SGEM2017 17th International Multidisciplinary Scientific GeoConference
Publisher
STEF92 Technology
Year
2017
Pages
629-636
SWS Citekey
Ondruskova201721629636
ISSN
1314-2704
ISBN
978-619-7408-10-2
Language
en
Publication type
Conference Paper
Keywords
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