ASN-Minimax double sampling plans by variables for two-sided specification limits when σ is unknown

Details ASN-Minimax double sampling plans by variables for two-sided specification limits when σ is unknown ASN-Minimax double sampling plans by variables for two-sided specification limits when σ is unknown

2011-03-24

arxiv.org/abs/1103.4801v4

Statistics

Methodology

Scientific paper

ASN-Minimax double sampling plans by variables for a normally distributed quality characteristic with unknown standard deviation and two-sided specification limits are introduced. These plans base on the essentially Maximum-Likelihood (ML) estimator p* and the Minimum Variance Unbiased (MVU) estimator ^p of the fraction defective p. The operation characteristic (OC) of the ASN-Minimax double sampling plans is determined by using the independent random variables p*_1, p*_2 and ^p_1, ^p_2, which relate to the first and second samples, respectively. The maximum of the average sample number (ASN) of these plans is shown to be considerably smaller than the sample size of the corresponding single sampling plans.

Affiliated with

Also associated with

No associations

Rating

ASN-Minimax double sampling plans by variables for two-sided specification limits when σ is unknown does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with ASN-Minimax double sampling plans by variables for two-sided specification limits when σ is unknown, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and ASN-Minimax double sampling plans by variables for two-sided specification limits when σ is unknown will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-47934