HOME
Full Articles List
Search by Author
Title: PREDICTION OF THE CONSTRUCTION COMPANY SALES DEVELOPMENT BY USING TIME SERIES ANALYSIS METHOD - LINEAR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATIONS
BibTex 
Open this article in the author's DB |
|
PREDICTION OF THE CONSTRUCTION COMPANY SALES DEVELOPMENT BY USING TIME SERIES ANALYSIS METHOD - LINEAR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATIONS
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
1314-2704
|
|
|
|
||
|
|
English
|
|
|
|
17
|
|
|
|
53
|
|
|
|
|
|
|
|
||
|
|
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.
|
|
|
|
conference
|
|
|
|
||
|
|
||
|
|
17th International Multidisciplinary Scientific GeoConference SGEM 2017
|
|
|
|
17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
|
|
|
|
Proceedings Paper
|
|
|
|
STEF92 Technology
|
|
|
|
International Multidisciplinary Scientific GeoConference-SGEM
|
|
|
|
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
|
|
|
|
629-636
|
|
|
|
29 June - 5 July, 2017
|
|
|
|
website
|
|
|
|
cdrom
|
|
|
|
4246
|
|
|
|
company; prediction; sales; time series analysis method
|
|
Download PDF