Statistical Inference of Stress-Strength Reliability for the Exponential Power (EP) Distribution Based on Progressive Type-II Censored Samples | Zendy

Neriman Akdam | Zendy; İsmail Kınacı | Zendy; Buğra SARAÇOĞLU | Zendy

Open Access

Statistical Inference of Stress-Strength Reliability for the Exponential Power (EP) Distribution Based on Progressive Type-II Censored Samples

Author(s) -

Neriman Akdam,

İsmail Kınacı,

Buğra SARAÇOĞLU

Publication year - 2017

Publication title -

hacettepe journal of mathematics and statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.312

H-Index - 26

ISSN - 1303-5010

DOI - 10.15672/hjms.2017.408

Subject(s) - mathematics , reliability (semiconductor) , inference , exponential function , exponential distribution , statistics , statistical inference , type (biology) , maximum likelihood , power (physics) , mathematical analysis , artificial intelligence , thermodynamics , computer science , ecology , biology , physics

Suppose that X represents the stress which is applied to a component and Y is strength of this component. Let X and Y have Exponential Power (EP) distribution with $(\alpha_1,\beta_1)$ and $(\alpha_2,\beta_2)$ parameters, respectively. In this case, stress-strength reliability (SSR) is shown by $P=P(X

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research