Acceptance Probabilities for a Sampling Procedure Based on the Mean and an Order Statistic | Zendy

M.C. Croarkin | Zendy; Guangjun Yang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Acceptance Probabilities for a Sampling Procedure Based on the Mean and an Order Statistic

Author(s) -

M.C. Croarkin,

Guangjun Yang

Publication year - 1982

Publication title -

journal of research of the national bureau of standards

Language(s) - English

Resource type - Journals

eISSN - 2376-5259

pISSN - 0160-1741

DOI - 10.6028/jres.087.025

Subject(s) - statistic , statistics , order statistic , sampling (signal processing) , mathematics , order (exchange) , computer science , economics , filter (signal processing) , finance , computer vision

A dual acceptance criterion based on the sample mean and an extreme order is used in many inspection procedures. Computation of the acceptance probability for such a dual criterion is investigated. An approximation and a lower bound to the acceptance probability are derived and are applicable to any continuous distribution. In addition, the connection between this dual criterion and hypothesis testing of scale and location parameters is studied. In the case of the exponential distribution the exact evaluation of the acceptance probability yields the power of the test.

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