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Optimal sequential sampling plans

1993
Statistical decision procedures where the sizes of sub-samples are determined sequentially (sequentially planned statistical decision procedures) are described in definition (1.22) by a sequential plan r and a terminal decision procedure e. I.e. similarly to purely sequential decision procedures (see definition (1.12)) such a procedure is split up into
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Sequential Sampling Plans for the Hairy Chinch Bug (Hemiptera: Lygaeidae)

Journal of Economic Entomology, 2000
Two sequential sampling plans were developed to produce tools to reduce the use of pesticides for the control of the hairy chinch bug, Blissus leucopterus hirtus Montandon, on turfgrass lawns in the cool-humid region of Quebec, Canada. A first plan based on Wald's method was shown to be too conservative in a validation conducted on infested lawns.
G, Majeau, J, Brodeur, Y, Carrière
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Sequential and systematic sampling plans for the Markov‐dependent production process

Naval Research Logistics (NRL), 2001
AbstractAcceptance sampling plans are used to assess the quality of an ongoing production process, in addition to the lot acceptance. In this paper, we consider sampling inspection plans for monitoring the Markov‐dependent production process. We construct sequential plans that satisfy the usual probability requirements at acceptable quality level and ...
VELLAISAMY, P, SANKAR, S
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The invariant optimal sampling plan in a sequentially planned decision procedure

Sequential Analysis, 2017
ABSTRACTWe define the invariant sequentially planned decision procedure under a group of measurable transformations. By means of a previous reduction of the problem, we obtain the optimal invariant sequentially planned decision procedure that minimizes the risk function.
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Sequential Sampling Plans Based on Information Theory

Journal of Quality Technology, 1975
In this paper on 'evidence equation" based on information theory is derived, discussed and illustrated. This equation is used for making decisions about a product's quality. The results of applying this evidence equation-sequential sampling techniq..
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Sample size calculation for planning group sequential longitudinal trials

Statistics in Medicine, 2000
Procedures are developed in this paper for sample size calculations for planning a group sequential longitudinal trial with various correlation structures, using a test statistic based on generalized estimating equations (Lee, Kim and Tsiatis) and group sequential boundaries based on type I error spending functions (Lan and DeMets).
A, Liu, J M, Boyett, X, Xiong
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Sequential Sampling Plans for Soybean Arthropods

1980
The need for rapid yet reliable sampling methods for insect pests becomes more apparent as emphasis on implementation of pest management programs increases. Design of a sampling program in which allocation of sampling resources and cost are considered is one of the first and most important steps in developing effective control strategies.
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SEQUENTIAL SAMPLING PLANS OF THE DEPENDENT STOCHASTIC PROCESS

Journal of the Chinese Institute of Industrial Engineers, 2004
In this paper, correlated sequential acceptance sampling plans are dealt when the relationship between samples are not independent. This plan is useful when the production quality shows serially correlated dependencies during the manufacturing processes.
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Unbiased estimation for sequential multinomial sampling plans

Sequential Analysis, 1993
For sequential multinomial sampling, a sufficient condition for the stopping rule to be closed is obtained. And, by the application of the Rao-Blackwell method,an unbiased estimator based on the sufficient statistics is given for some functions of unknown parameters. The results are applied to some sequential stopping rules.
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Accuracy of sequential sampling plans based on Wald's sequential probability ratio test

Canadian Journal of Forest Research, 1983
Monte Carlo operating characteristic (OC) and average sample number (ASN) functions were compared with Wald's OC and ASN equations for sequential sampling plans based on Wald's sequential probability ratio test (SPRT) using the binomial, negative binomial, normal, and Poisson distributions.
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