Acceptance sampling for attributes via hypothesis testing and the hypergeometric distribution
نویسندگان
چکیده
منابع مشابه
HYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION
Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.
متن کاملBayesian Acceptance Sampling for Attributes
This paper demonstrates the use of Bayesian methods in Acceptance Sampling for items which are categorized according to their attributes as defective or non defective, i.e binary (0-1) data. The main thrust of the paper is to account for the possibility of dependence among the items of a sample. An attempt has been made to incorporate the dependence structure in the acceptance sampling scheme. ...
متن کاملhypothesis testing for an exchangeable normal distribution
consider an exchangeable normal vector with parameters ????2, and ?. on the basis of a vector observation some tests about these parameters are found and their properties are discussed. a simulation study for these tests and a few nonparametric tests are presented. some advantages and disadvantages of these tests are discussed and a few applications are given.
متن کاملMixed Variables-Attributes Test Plans for Single and Double Acceptance Sampling under Exponential Distribution
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 ...
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ژورنال
عنوان ژورنال: Journal of Industrial Engineering International
سال: 2017
ISSN: 1735-5702,2251-712X
DOI: 10.1007/s40092-017-0231-9