设为首页
收藏本站
网站地图
|
English
|
公务邮箱
About the library
Background
History
Leadership
Organization
Readers' Guide
Opening Hours
Collections
Help Via Email
Publications
Electronic Information Resources
Stress-strength reliability for general bivariate distributions
详细信息
查看全文
作者:
Alaa H. Abdel-Ha
m
id<
su
p>
;
su
p><
su
p>ha
m
id_alh@science.b
su
.edu.eg" class="auth_
m
ail" title="E-
m
ail the corresponding author
su
p>
关键词:
General bivariate distribution
;
Para
m
etric esti
m
ation of para
m
eters and stress-strength reliability
;
Govindarajulu's non-par-a
m
etric interval bounds of R
刊名:Journal of the Egyptian
M
athe
m
atical Society
出版年:2016
出版时间:October 2016
年:2016
卷:24
期:4
页码:617-621
全文大小:341 K
文摘
An expression for the stress-strength reliability
mmlsi9" class="
m
ath
m
lsrc">
mathI
m
g" data-
m
athURL="/science?_ob=MathURL&_
m
ethod=retrieve&_eid=1-s2.0-S1110256X16000213&_
m
athId=si9.gif&_user=111111111&_pii=S1110256X16000213&_rdoc=1&_issn=1110256X&
m
d5=32f87
e1
ad8999599a8d0bb31b602cfde">
mg class="i
m
gLazyJSB inlineI
m
age" height="16" width="131" alt="View the MathML source" title="View the MathML source" src="/sd/grey_pxl.gif" data-inli
m
geid="1-s2.0-S1110256X16000213-si9.gif">
mg height="16" border="0" style="vertical-align:botto
m
" width="131" alt="View the MathML source" title="View the MathML source" src="http://origin-ars.els-cdn.co
m
/content/i
m
age/1-s2.0-S1110256X16000213-si9.gif">
mathContainer hidden">
mathCode"><
m
ath alti
m
g="si9.gif" overflow="scroll"><
m
row><
m
i>R
m
i><
m
o>=
m
o><
m
i>P
m
i><
m
o>(
m
o><
m
row><
msu
b><
m
i>X
m
i><
m
n>1
m
n>
msu
b><
m
o><
m
o><
m
space width="0.16e
m
">
m
space><
msu
b><
m
i>X
m
i><
m
n>2
m
n>
msu
b>
m
row><
m
o>)
m
o>
m
row>
m
ath>
is obtained when the vector (
m>X
m><
su
b>1
su
b>,
m>X
m><
su
b>2
su
b>) follows a general bivariate distribution. Such distribution includes bivariate co
m
pound Weibull, bivariate co
m
pound Go
m
pertz, bivariate co
m
pound Pareto, a
m
ong others. In the para
m
etric case, the
m
axi
m
u
m
likelihood esti
m
ates of the para
m
eters and reliability function
m>R
m> are obtained. In the non-para
m
etric case, point and interval esti
m
ates of
m>R
m> are developed using Govindarajulu's asy
m
ptotic distribution-free
m
ethod when
m>X
m><
su
b>1
su
b> and
m>X
m><
su
b>2
su
b> are dependent. An exa
m
ple is given when the population distribution is bivariate co
m
pound Weibull. Si
m
ulation is perfor
m
ed, based on different sa
m
ple sizes to study the perfor
m
ance of esti
m
ates.
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via
email
.