Issue |
Title |
No 3 (2021) |
MODELING AND FORECASTING THE NUMBER OF UNEMPLOYED IN THE PERM REGION |
|
Kulentsan A.L., Marchuk N.A. |
No 3 (2021) |
COMBINED NEURAL NETWORK METHOD FOR DETERMINING THE BRILLOUIN SPECTRUM MAXIMUM IN DISTRIBUTED FIBER-OPTIC SENSORS |
|
Krivosheev A.I., Konstantinov Y.A., Pervadchuk V.P., Barkov F.L. |
No 1 (2019) |
CORRELATION and REGRESSIONAL ANALYSIS OF THE DEPENDENCE of ENTERPRISE receipts from THE FOREIGN ECONOMIC ACTIVITY FACTORS |
|
Malakhova O.S., Kuznetsova O.A., Kuznetsov A.V. |
No 1 (2021) |
FINITE DIFFERENCES METHOD FOR SOCIO-ECONOMIC MODELING |
|
Sirotina N.A., Kopoteva A.V., Zatonskiy A.V. |
No 3 (2023) |
Мethod for determining the level of similarity of images by color component based on correlation analysis and color space quantization |
|
Loginovskiy O.V., Strueva A.Y., Shinkarev A.A., Yadryshnikova M.V. |
No 1 (2023) |
A method for constructing non-elementary Cobb – Douglas production functions |
|
Bazilevskiy M.P. |
No 4 (2022) |
ANALYSIS OF FACTORS AFFECTING THE NUMBER OF INSPECTORS OF THE SUPERVISORY ACTIVITY UNITS OF THE EMERCOM OF RUSSIA |
|
Repin S.V., Lakhvitsky G.N., Pavlikova M.D., Burlachenko K.G. |
No 1 (2017) |
Econometric modeling of bank's income volume dependS on ICT and advertising USING R |
|
Glukhov V.N., Kuznetsova O.A. |
No 1 (2017) |
IDENTIFICATION FOR regression dependence of the main macroeconomic indicators during the crises of the Russian Federation |
|
Kuznetsova O.A., Zueva M.S., Iarygina A.A. |
No 3 (2019) |
THE NUMERICAL CHARACTERISTICS OF THE KINETICALLY MODELLED SIMPLE NONSTATIONARY RANDOM PROCESS |
|
Selianinov A.A., Osipenko M.A., Baranova A.A., Vikhareva E.V., Khrenkov A.N. |
No 4 (2019) |
PRICES FORECASTING IN THE PRIMARY HOUSING MARKET IN SAINT-PETERSBURG BASED ON REGRESSION- DIFFERENTIAL MODELING |
|
Sergeeva A.O., Izmaylova E.V. |
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