On Some Statistical Models for Assessing the Evolution of Sales of Certain Products

Cătălin Ilie Mitran ()
Additional contact information
Cătălin Ilie Mitran: University of Petroşani, Romania

Annals of the University of Petrosani, Economics, 2016, vol. 16, issue 2, 53-60

Abstract: The mathematical statistic models are very used in solving of many types of engineering, economic and other practical issues. This paper aims to analyse the evolution of the prices of a particular type of a product for one year. For this purpose, will be used the smallest squares method which in this case is equivalent to the linear regression method and also some typical mathematical statistics methods. The effectiveness of the proposed methods should be tested by verifying some practical hypothesis such as those of the linear regression method.

Keywords: Linear regression method; econometric model; three sigma rule; residual variable (search for similar items in EconPapers)
JEL-codes: C40 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.upet.ro/annals/economics/pdf/2016/part2/Mitran_2.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pet:annals:v:16:y:2016:i:2:p:53-60

Access Statistics for this article

More articles in Annals of the University of Petrosani, Economics from University of Petrosani, Romania
Bibliographic data for series maintained by Imola Driga ().