Selection of the initial value of the time series generating the first-order self-regression model in simulation modeAnd their impact on the accuracy of the model

  • محمد جاسم محمد
  • سهيل نجم عبد الله
Keywords: Selection of the initial value of the time series generating the first-order self-regression model in simulation modeAnd their impact on the accuracy of the model

Abstract

In this paper, compared eight methods for generating the initial value and the impact of these methods to estimate the parameter of a autoregressive model, as was the use of three of the most popular methods to estimate the model and the most commonly used by researchers MLL method, Barg method  and the least squares method and that using the method of simulation model  first order autoregressive through the design of a number of simulation experiments and the different sizes of the samples.

                  

Published
2011-06-01
How to Cite
محمدم., & عبد اللهس. (2011). Selection of the initial value of the time series generating the first-order self-regression model in simulation modeAnd their impact on the accuracy of the model. Journal of Economics and Administrative Sciences, 17(62), 237. https://doi.org/10.33095/jeas.v17i62.1026
Section
Statistical Researches

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