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On Some Confidence Intervals for Estimating the Population Process Capability Index Cp: An Empirical Comparison

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Intelligent Computing (SAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 711))

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Abstract

This paper reviews several existing confidence intervals and proposes some new confidence intervals for the population process capability index (CPI). It provides the idea of construction confidence interval for Cp from the confidence interval of σ. A Monte Carlo simulation study under various distributional assumptions need to be conducted for making comparison among interval estimators. Hope this paper will be an important reference paper for selecting some useful interval estimators for the true process capability index.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Statistics, Florida International University, Florida, USA

    B. M. Golam Kibria

  2. Department of Physical Sciences, Independent University, Dhaka, 1229, Bangladesh

    Shipra Banik

Authors
  1. B. M. Golam Kibria
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  2. Shipra Banik
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Correspondence to Shipra Banik .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Kibria, B.M.G., Banik, S. (2023). On Some Confidence Intervals for Estimating the Population Process Capability Index Cp: An Empirical Comparison. In: Arai, K. (eds) Intelligent Computing. SAI 2023. Lecture Notes in Networks and Systems, vol 711. Springer, Cham. https://doi.org/10.1007/978-3-031-37717-4_14

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