Estimation of parameters in the Random walk distribution | ||||
The Egyptian Statistical Journal | ||||
Article 9, Volume 45, Issue 1, June 2001, Page 97-107 PDF (4.51 MB) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/esju.2001.313807 | ||||
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Authors | ||||
A. F. Attia* 1; A. Sultan* 2 | ||||
1Institute of Satistical Studies & Research, Cairo University | ||||
2National Centerfor Social & Criminological Research | ||||
Abstract | ||||
The two parameters random walk distribution is defined and its characteristic are derived. Hazard function, mean, variance etc. are worked out for random walk distribution. In this paper, moments and maximum likelihood estimators are obtained, we define various least square estimation method in general, and we then show how this method can be applied to the random walk. Numerical examples are given. | ||||
Keywords | ||||
Inverse Gaussian Distribution; Moments Method; Brownian Motion; Least Square Method | ||||
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