Abstract
Mathematical statistics methods (basically correlational and regression analysis) are used to study the factors which form the level of cost of preparing oil with consideration of the mutual influence of the factors. Selected as the claims for inclusion into a mathematical model was a group of five a priori justified factors: the water level of the oil being extracted (%); the specific expenditure of deemulsifiers; the volume of oil preparation; the quality of oil preparation (the salt content) and the level of use of the installations' capacities (%). To construct an economic and mathematical model of the cost of the technical preparation (SPP) of the oil, all the unions which make up the Ministry of the Oil Industry were divided into two comparable totalities. The first group included unions in which the oil SPP was lower than the branch average and the second, unions in which the SPP was higher than the branch wide cost. Using the coefficients of regression, special elasticity coefficients and the fluctuation indicators, the basic factors were finally identified which have the greatest influence on the formation of the oil SPP level separately for the first and second groups of unions.
Citation Formats
Avdeyeva, L A, Kudoyarov, G Sh, and Shmatova, M F.
Factoral analysis of the cost of preparing oil.
USSR: N. p.,
1979.
Web.
Avdeyeva, L A, Kudoyarov, G Sh, & Shmatova, M F.
Factoral analysis of the cost of preparing oil.
USSR.
Avdeyeva, L A, Kudoyarov, G Sh, and Shmatova, M F.
1979.
"Factoral analysis of the cost of preparing oil."
USSR.
@misc{etde_6783297,
title = {Factoral analysis of the cost of preparing oil}
author = {Avdeyeva, L A, Kudoyarov, G Sh, and Shmatova, M F}
abstractNote = {Mathematical statistics methods (basically correlational and regression analysis) are used to study the factors which form the level of cost of preparing oil with consideration of the mutual influence of the factors. Selected as the claims for inclusion into a mathematical model was a group of five a priori justified factors: the water level of the oil being extracted (%); the specific expenditure of deemulsifiers; the volume of oil preparation; the quality of oil preparation (the salt content) and the level of use of the installations' capacities (%). To construct an economic and mathematical model of the cost of the technical preparation (SPP) of the oil, all the unions which make up the Ministry of the Oil Industry were divided into two comparable totalities. The first group included unions in which the oil SPP was lower than the branch average and the second, unions in which the SPP was higher than the branch wide cost. Using the coefficients of regression, special elasticity coefficients and the fluctuation indicators, the basic factors were finally identified which have the greatest influence on the formation of the oil SPP level separately for the first and second groups of unions.}
journal = []
volume = {6}
journal type = {AC}
place = {USSR}
year = {1979}
month = {Jan}
}
title = {Factoral analysis of the cost of preparing oil}
author = {Avdeyeva, L A, Kudoyarov, G Sh, and Shmatova, M F}
abstractNote = {Mathematical statistics methods (basically correlational and regression analysis) are used to study the factors which form the level of cost of preparing oil with consideration of the mutual influence of the factors. Selected as the claims for inclusion into a mathematical model was a group of five a priori justified factors: the water level of the oil being extracted (%); the specific expenditure of deemulsifiers; the volume of oil preparation; the quality of oil preparation (the salt content) and the level of use of the installations' capacities (%). To construct an economic and mathematical model of the cost of the technical preparation (SPP) of the oil, all the unions which make up the Ministry of the Oil Industry were divided into two comparable totalities. The first group included unions in which the oil SPP was lower than the branch average and the second, unions in which the SPP was higher than the branch wide cost. Using the coefficients of regression, special elasticity coefficients and the fluctuation indicators, the basic factors were finally identified which have the greatest influence on the formation of the oil SPP level separately for the first and second groups of unions.}
journal = []
volume = {6}
journal type = {AC}
place = {USSR}
year = {1979}
month = {Jan}
}