University of Hertfordshire

Item-by-item sampling for promotional purposes

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Item-by-item sampling for promotional purposes. / Spencer, Neil; Kevan De Lopez, Lindsey.

In: Quality Technology & Quantitative Management, 07.06.2017, p. 1-8.

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@article{dc71bf4198a445f5ba7977388c830a4e,
title = "Item-by-item sampling for promotional purposes",
abstract = "In this paper we present a method for sampling items that are checked on a pass/fail basis, with a view to a statement being made about the success/failure rate for the purposes of promoting an organisation{\textquoteright}s product/service to potential clients/customers. Attention is paid to the appropriate use of statistical phrases for the statements and this leads to the use of Bayesian credible intervals, thus it exceeds what can achieved with standard acceptance sampling techniques. The hypergeometric distribution is used to calculate successive stopping rules so that the resources used for sampling can be minimised. Extensions to the sampling procedure are considered to allow the potential for stronger and weaker statements to be made as sampling progresses. The relationship between the true error rate and the probabilities of making correct statements is discussed.",
author = "Neil Spencer and {Kevan De Lopez}, Lindsey",
note = "This is an accepted manuscript of an article accepted for publication by Taylor & Francis in Quality Technology & Quantitative Management on 7 June 2017, available online at doi: http://www.tandfonline.com/doi/abs/10.1080/16843703.2017.1335494 ",
year = "2017",
month = jun,
day = "7",
doi = "10.1080/16843703.2017.1335494",
language = "English",
pages = "1--8",
journal = "Quality Technology & Quantitative Management",
issn = "1684-3703",
publisher = "Taylor & Francis",

}

RIS

TY - JOUR

T1 - Item-by-item sampling for promotional purposes

AU - Spencer, Neil

AU - Kevan De Lopez, Lindsey

N1 - This is an accepted manuscript of an article accepted for publication by Taylor & Francis in Quality Technology & Quantitative Management on 7 June 2017, available online at doi: http://www.tandfonline.com/doi/abs/10.1080/16843703.2017.1335494

PY - 2017/6/7

Y1 - 2017/6/7

N2 - In this paper we present a method for sampling items that are checked on a pass/fail basis, with a view to a statement being made about the success/failure rate for the purposes of promoting an organisation’s product/service to potential clients/customers. Attention is paid to the appropriate use of statistical phrases for the statements and this leads to the use of Bayesian credible intervals, thus it exceeds what can achieved with standard acceptance sampling techniques. The hypergeometric distribution is used to calculate successive stopping rules so that the resources used for sampling can be minimised. Extensions to the sampling procedure are considered to allow the potential for stronger and weaker statements to be made as sampling progresses. The relationship between the true error rate and the probabilities of making correct statements is discussed.

AB - In this paper we present a method for sampling items that are checked on a pass/fail basis, with a view to a statement being made about the success/failure rate for the purposes of promoting an organisation’s product/service to potential clients/customers. Attention is paid to the appropriate use of statistical phrases for the statements and this leads to the use of Bayesian credible intervals, thus it exceeds what can achieved with standard acceptance sampling techniques. The hypergeometric distribution is used to calculate successive stopping rules so that the resources used for sampling can be minimised. Extensions to the sampling procedure are considered to allow the potential for stronger and weaker statements to be made as sampling progresses. The relationship between the true error rate and the probabilities of making correct statements is discussed.

U2 - 10.1080/16843703.2017.1335494

DO - 10.1080/16843703.2017.1335494

M3 - Article

SP - 1

EP - 8

JO - Quality Technology & Quantitative Management

JF - Quality Technology & Quantitative Management

SN - 1684-3703

ER -