Research output: Contribution to journal › Article › peer-review
Forecast with the use of statistical and expert methods. / Prasolov, A. V.; Khovanov, N. V.
In: Automation and Remote Control, Vol. 69, No. 6, 01.01.2008, p. 1023-1034.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Forecast with the use of statistical and expert methods
AU - Prasolov, A. V.
AU - Khovanov, N. V.
PY - 2008/1/1
Y1 - 2008/1/1
N2 - Consideration is given to a combination of different methods for the forecast of values of the social-economic index. One group of methods estimate the value of the index in the future by econometric analysis basing on its dynamics in the past. A new notion of optimal initial vector of forecast is introduced. Other methods are based on experts' forecast whose conclusions accumulate nonnumerical, incomplete, and inexact information. The final estimate is delivered by a combination of econometric and expert forecasts with weighting coefficients; they are chosen by a researcher taking the volume and quality of the used expert and statistical information into account.
AB - Consideration is given to a combination of different methods for the forecast of values of the social-economic index. One group of methods estimate the value of the index in the future by econometric analysis basing on its dynamics in the past. A new notion of optimal initial vector of forecast is introduced. Other methods are based on experts' forecast whose conclusions accumulate nonnumerical, incomplete, and inexact information. The final estimate is delivered by a combination of econometric and expert forecasts with weighting coefficients; they are chosen by a researcher taking the volume and quality of the used expert and statistical information into account.
UR - http://www.scopus.com/inward/record.url?scp=48449095477&partnerID=8YFLogxK
U2 - 10.1134/S000511790806012X
DO - 10.1134/S000511790806012X
M3 - Article
AN - SCOPUS:48449095477
VL - 69
SP - 1023
EP - 1034
JO - Automation and Remote Control
JF - Automation and Remote Control
SN - 0005-1179
IS - 6
ER -
ID: 36114572