In this paper, the estimation of multi-component system reliability of Exponential-shanker Stress-Strength model with more than two stresses is studied. The estimation of models Rp = p [max (X1, …, Xr)<max (Z1, …., Zk)] and Rs = P [max (X1, …, Xr)<min (Z1…. Zk)] is studied when (Z1, Z2, …., Zk) are strengths subjected to one of the stresses X1,…, Xr assuming that Z1…. Zk follow independent shanker distribution and X1, …, Xr follow independent exponential distribution. The expression for system reliability of series and parallel systems for an exponential-shanker stress-strength model is derived. MLEs for the parameters and reliability functions with their asymptotic distributions are derived. Shrinkage methods (two types)estimators are derived. Also the performance of MLEs and Shrinkage estimators(two types) of reliability functions are studied by estimating MSEs through simulations.

1.
N.S.
Abbas
and
F.H.
Sail
,
On Shrinkage Estimation of Based on Exponentiated Weibull distribution
(
International Journal of Science and Research
,
2017
), pp.
167
173
.
2.
E. A.
Abdulateef
and
A.N.
Salman
,
On Shrinkage Estimation for R (s,k) in Case of Exponentiated pareto Distribution
(
Ibn Al-Haitham Journal for Pure and Applied Science
,
2019
), pp.
147
156
.
3.
G. K.
Bhattacharyya
and
R. A.
Johnson
,
Estimation of Reliability in a multicomponent stress-strength model
(
Journal of the American Statistical Association
,
1974
), pp.
966
970
.
4.
C.
Cheng
,
Reliability of Parallel Stress-Strength Model
(
Journal of Mathematical Research with Applications
,
2018
), pp.
427
440
.
5.
A. A.
Hussein
,
M. K.
Yaseen
and
A. N.
Salman
,
Applying Shrinkage Estimation Technique of Case of Generalized Exponential Distribution
(
Ibn Al-Haitham Journal For Pure and Applied Science
,
2020
), pp.
158
166
.
6.
N.
Karadayi
,
B.
Saracoglu
and
A.
Pekgor
,
Stress-Strength Reliability its Estimation for a Which is Exposed tw Independent Stresses
(
Slcuk J. Appl. Math.
SpecialIssue.,
2011
), pp.
13135
.
7.
N. S.
Karam
,
One Two and Multi-Component Gompertz Stress-strength Reliability Estimation
(
Mathematical Theoryand Modeling)
, No.
3
, ISSN:(22245804)(
2016
).
8.
G. S.
Rao
,
Estimation of Reliability in Multicomponent Stress-strength Based on Generalized Exponential Distribution
(
Revista Colombiana de Estadística
,
2012
), pp.
6776
.
9.
D.
Sezer
and
I.
Kinaci
,
Estimation of Stress-Strength Parameter of a Parallel System for Exponential Distribution Based on Masked Data
(
Journal of Selçuk University Natural and Applied Science
,
2013
), pp.
60
68
.
10.
R.
Shanker
,
Shanker Distribution and its Applications
(
International Journal of statistics and Applications
,
2015
), pp.
338
348
.
11.
N.
Thomopoulos
,
statistical Distributions Applications and parameter estimates
,
USA
,
springer International publishing
(
2017
)
12.
L.
Wang
,
S.
Dey
,
Y. M.
Tripathi
, and
S. J.
Wu
,
Reliability inference for a multicomponent stress-strength model based on Kumaraswamy distribution
(
Journal of Computational and Applied Mathematics
,
2020
),
376
,
112823
.
13.
J. R.
Thompson
,
Some Shrinkage Techniques for Estimation the Mean
(
J. Amer. Statist Assoc
,
1968
), PP.
113
122
.
14.
Rao
,
Estimation of Reliability in multicomponent stress-strength Based on Inverse exponential distribution
(
international journal of Statistics and Economics
,
2013
), pp.
28
37
.
15.
J.J
Kim
and
E.M.
Kank
,
Estimation of Reliability in multicomponent stress-strength model in Weibull Case
(
journal of the KSQC
,
1981
), pp.
3
11
This content is only available via PDF.
You do not currently have access to this content.