Performance Assessment of Mean Methods in Estimating Process Capability for Non-Normal Process for Weibull Family Life Distribution

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Braimah, Joseph Odunayo
Braimah, Joseph Odunayo
σ
Braimah
Braimah
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Joseph Odunayo
Joseph Odunayo
α Ambrose Alli University Ambrose Alli University

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Performance Assessment of Mean Methods in Estimating Process Capability for Non-Normal  Process for Weibull Family Life Distribution

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References

21 Cites in Article
  1. Mohammed Anis (2008). Basic Process Capability Indices: An Expository Review.
  2. Silvano Bordignon,Michele Scagliarini (2002). Statistical analysis of process capability indices with measurement errors.
  3. Y Chang,I Choi,D Bai (2002). Process capability indices for skewed populations.
  4. J Chen (2000). Re-evaluating the Process Capability Indices for Nonnormal Distributions.
  5. K Chen,M Huang,R Li (2001). Process capability analysis for an entire product.
  6. J Ding (2004). A Method of Estimating the Process Capability Index from the First Moments of Non-normal Data.
  7. Nahid Golafshani (2003). Understanding Reliability and Validity in Qualitative Research.
  8. Roger Hoerl,Ron Snee (2010). Statistical Thinking and Methods in Quality Improvement: A Look to the Future.
  9. Roger Hoerl,Ronald Snee (2010). Moving the Statistics Profession Forward to the Next Level.
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  11. Samuel Kotz,Norman Johnson (2002). Process Capability Indices—A Review, 1992–2000.
  12. C Lovelace,J Swain (2009). Process Capability Analysis Methodologies for Zero-Bound and Non-normal Process Data.
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  14. D Montgomery,G Runger (2009). A review of “<i>Applied Statistics and Probability for Engineers</i>” Douglas C. Montgomery, George C. Runger, 1994 New York, Chichester, John Wiley and Sons ISBN 0 471 01021 9.
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  17. Kerstin Vännman,Malin Albing (2007). Process capability indices for one‐sided specification intervals and skewed distributions.
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  19. Hsin‐hung Wu,James Swain (2009). A Monte Carlo comparison of capability indices when processes are non‐normally distributed.
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  21. S Yitzhaki (2010). Gini's mean difference: A superior measure of variability for nonnormal distributions.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Braimah, Joseph Odunayo. 2019. \u201cPerformance Assessment of Mean Methods in Estimating Process Capability for Non-Normal Process for Weibull Family Life Distribution\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 19 (GJSFR Volume 19 Issue F5): .

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Issue Cover
GJSFR Volume 19 Issue F5
Pg. 43- 56
Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-F Classification: MSC 2010: 11H60
Version of record

v1.2

Issue date

December 23, 2019

Language
en
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Performance Assessment of Mean Methods in Estimating Process Capability for Non-Normal Process for Weibull Family Life Distribution

Braimah
Braimah
Joseph Odunayo
Joseph Odunayo

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