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  Citation Number 2
 Views 85
 Downloands 36
Box-jenkıns ve Yapay Sinir Ağı Modelleri ile Enflasyon Tahmini
2016
Journal:  
Trends in Business and Economics
Author:  
Abstract:

Enflasyon tahmini ülkeler için büyük bir önem arz etmekte, yatırımlar bu verilere göre yapılmaktadır. Gelişmekte olan ülkeler açısından enflasyon oranının düşük seyretmesi önemli hedeflerden birisidir. Bu nedenle geçmiş verilere bakarak geleceğe yönelik doğru tahminlerde bulunulması önemlidir. Kısa dönemli tahmin çalışmalarındauygun yöntemlerden birisi zaman serileridir. Bu çalışmada Box-Jenkins ve Yapay Sinir Ağları olarak bilinen yöntemlerle enflasyon verisine ait zaman serisi analizi kullanılmış ve sonuçlar karşılaştırmalı olarak sunulmuştur.

Keywords:

Inflation Prediction With Boxgenkins and Artificial Nervous Net Models
2016
Author:  
Abstract:

inflation is a great importance for estimated countries, investments are made according to this data, which is one of the important objectives that the lowest rate of inflation is observed in terms of developing countries, therefore it is important to be found in the right forecasts for the future looking at past data, one of the methods that are met in short-term forecasting work is time series analysis of inflation data by methods known as boxjenkins and artificial nerve networks, and results are presented in comparison

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Trends in Business and Economics

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

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Cite : 86
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