TY  - JOUR
T1  - Comparing Different Estimators of Reliability Function for Stress-Strength
Models with Applications
AU - Hassan, Inaam Rikan 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 4
SP  - 1138
EP  - 1141
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.1138.1141
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.1138.1141
KW  - Stress-strength model
KW  -least square method
KW  -maximum likelihood method
KW  -reliability function
KW  -sets
KW  -MSE
AB  - One of the most practical application of reliability as a function of time is a well stress-strength model
  were this model have several applications like Physics, engineering and components, so here, we introduce the
  Stress-Strength (S-S) reliability model for system contains one component denoted by [R = p(y<x)] where (y)
  is stress random variable and (x) is strength random variable were: </p>

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<p>The studied model introduced represents reliability function for stress-strength model, assuming the
components of stress and strength are independent and identically distributed as Exponentiated Weibull
Distribution (EWD). The model of S-S derived and the reliability of it also found. Then estimating by maximum
likelihood and least square methods. The comparison done through simulation using different sets of sample
size (n, m) also different sets of initial values of (&beta;<sub>1</sub>, &beta;<sub>2</sub>, &theta;), all the results of comparison explained by tables.</p>
ER  -