article · Communications in Statistics Part C Sequential Analysis · 1983
Normal sequential sampling
G. Barrie Wetherill, J. Köllerström
Cited by 2Abstract and details only
Abstract
Bayesian sequential sampling plans are investigated numerically, for testing the mean of a normal distribution (‘high’ values are acceptable, but 'low' values are not). The variance is known, the prior of the mean is normal, and a linear loss function is used. Various properties of these plans are presented here and compared with results for single and double sampling plans. Robustness of these plans with respect to errors in some of the parameters are investigated as well as methods for reducing the computation for the sequential plans.
Cite this paper
Wetherill, G. B., & Köllerström, J. (1983). Normal sequential sampling. Communications in Statistics Part C Sequential Analysis, 2(3), 225–242. https://doi.org/10.1080/07474948308836037
Wetherill, G. Barrie, and J. Köllerström. “Normal sequential sampling.” Communications in Statistics Part C Sequential Analysis, vol. 2, no. 3, 1983, pp. 225–42, https://doi.org/10.1080/07474948308836037.
Wetherill, G. Barrie, and J. Köllerström. 1983. “Normal sequential sampling.” Communications in Statistics Part C Sequential Analysis 2 (3): 225–42. https://doi.org/10.1080/07474948308836037.
Wetherill, G.B. and Köllerström, J. (1983) ‘Normal sequential sampling’, Communications in Statistics Part C Sequential Analysis, 2(3), pp. 225–242. Available at: https://doi.org/10.1080/07474948308836037.
@article{wetherill1983normal,
title = {{Normal sequential sampling}},
author = {Wetherill, G. Barrie and Köllerström, J.},
journal = {Communications in Statistics Part C Sequential Analysis},
volume = {2},
number = {3},
pages = {225--242},
year = {1983},
doi = {10.1080/07474948308836037}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.