Visas 21 - 30 av 83 resultat för sökning '"Journal of quality technology"', Sökningstid: 0,03s Förfina resultatet
  1. 21

    Individual T2 control chart for compositional data. av Vives-Mestres, Marina

    Artikel

    Individual T2 control chart for compositional data.
  2. 22

    Exact inferences for a gamma distribution. av Hayter, A. J.

    Artikel

    Exact inferences for a gamma distribution.
  3. 23

    Assessing the capability of a manufacturing process using nonparametric Bayesian density estimation. av Polansky, Alan M.

    Artikel

    Assessing the capability of a manufacturing process using nonparametric Bayesian density estimation.
  4. 24

    Batch variability in accelerated-degradation testing. av Li, Ming

    Artikel

    Batch variability in accelerated-degradation testing.
  5. 25

    Measurement system analysis for binary inspection continuous versus dichotomous measurands. av De Mast, Jeroen

    Artikel

    Measurement system analysis for binary inspection continuous versus dichotomous measurands.
  6. 26

    Self-starting multivariate control charts for location and scale. av Maboudou-Tchao, Edgard M.

    Artikel

    Self-starting multivariate control charts for location and scale.
  7. 27

    A Bayesian model for integrating multiple sources of lifetime information in system reliability assessments. av Reese, C. Shane

    Artikel

    A Bayesian model for integrating multiple sources of lifetime information in system reliability assessments.
  8. 28

    Monitoring batch processes with multiple on-off steps in semiconductor manufacturing. av Lee, Shui-Pin

    Artikel

    Monitoring batch processes with multiple on-off steps in semiconductor manufacturing.
  9. 29

    On the inverse gamma as a survival distribution. av Glen, Andrew G.

    Artikel

    On the inverse gamma as a survival distribution.
  10. 30

    The prediction properties of classical and inverse regression for the simple linear calibration problem. av Parker, Peter A.

    Artikel

    The prediction properties of classical and inverse regression for the simple linear calibration problem.

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