GOLDEN SECTION AND FORECASTING ON AUTOREGRESS
Journal: BULLETIN OF KSAU
№ 2
, 2012
Rubrics: MATEMATIKA I INFORMATIKA
Authors:
1.
Krasnoyarskiy gosudarstvennyy agrarnyy universitet
2.
Krasnoyarskiy gosudarstvennyy agrarnyy universitet
3.
Krasnoyarskiy gosudarstvennyy agrarnyy universitet
Type:
Article
Pages:
from 47
to 64
Status:
Published
Received:
21.02.2012
Accepted:
23.02.2012
Published:
25.02.2012
Subject area:
UDK 519.8 Исследование операций
Language:
Russian
Keywords:
time series, normalized numerical series, AR( p) models, Fibonacci numbers, Pascal triangle
Abstract (English):
he trial and error method of parameters based on numerical series use in AR( p) models is offered in the article. Connection of the forecasts on autoregress with the Pascal triangle, Fibonacci numbers and Tribonacci numbers is shown. Recommendations on golden section application in the process of forecasting are given.
he trial and error method of parameters based on numerical series use in AR( p) models is offered in the article. Connection of the forecasts on autoregress with the Pascal triangle, Fibonacci numbers and Tribonacci numbers is shown. Recommendations on golden section application in the process of forecasting are given.
Keywords:
time series, normalized numerical series, AR( p) models, Fibonacci numbers, Pascal triangle
time series, normalized numerical series, AR( p) models, Fibonacci numbers, Pascal triangle
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