MODIFICATION OF ACCURACY ESTIMATION USING STOCK MARKET DATA

Abstract

It is well known that the simplest way of estimation of statistical parameters is the method of least squares using linear functions.  However, the problem with this method is in how to find out a linear observations.  Estimation accuracy is very important concept in many field such that; medicine, humanities, engineering, industry, economics and others since an unbiased vision is crucial in order to support the industry for decision making, also suitable data to obtain is, how estimates are completed, what factors encourage the choice of estimation methods and the current level of estimation accuracy.  Therefore, this article purposes a novel technique in field of improving inference about population characteristic estimation, mathematical models were implemented in content of stock market data are collected from Amman stock exchange (ASE).  Estimation accuracy directly will be implemented and Daubechies Wavelet transform (DWT) combined with interval estimation accuracy will be calculated also.  As a result, the DWT combines with traditional estimation accuracy is better than traditional estimation accuracy directly.  The results are implemented using (SPSS) and MATLAB.