Mixed Variables‐Attributes Test Plans for Single and DoubleAcceptance Sampling under Exponential Distribution | Zendy

Yan Li | Zendy; Xiaolong Pu | Zendy; Dongdong Xiang | Zendy

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Mixed Variables‐Attributes Test Plans for Single and DoubleAcceptance Sampling under Exponential Distribution

Author(s) -

Yan Li,

Xiaolong Pu,

Dongdong Xiang

Publication year - 2011

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2011/575036

Subject(s) - acceptance sampling , mathematics , statistics , sampling (signal processing) , sample (material) , exponential distribution , test (biology) , exponential function , test plan , distribution (mathematics) , sample size determination , computer science , chemistry , filter (signal processing) , chromatography , weibull distribution , computer vision , biology , paleontology , mathematical analysis

The mixed variables-attributes test plans for single acceptance sampling are proposed to protect “good lots” from attributes aspect and to optimize sample sizes from variables aspect. For the single and double mixed plans, exact formulas of the operating characteristic and average sample number are developed for the exponential distribution. Numerical illustrations show that the mixed sampling plans have some advantages over the variables plans or attributes plans alone

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