Maximum likelihood estimation for the poly-Weibull distribution

Authors

Jason K. Freels, Air Force Institute of Technology
Daniel A. Timme, Air Force Institute of Technology
Joseph J. Pignatiello Jr., Air Force Institute of Technology
Richard L. Warr, Air Force Institute of Technology
Raymond R. Hill, Air Force Institute of TechnologyFollow

Document Type

Article

Publication Date

5-8-2019

Comments

© 2019 Taylor & Francis Group, LLC

This article was published online in May 2019 ahead of inclusion in the issue of Quality Engineering cited on this page. The issue date is October 2019.

The article is available from the publisher (Taylor and Francis) via subscription or purchase through the DOI link below.

Co-author Daniel Timme was co-affiliated with 14th Air Force, Air Force Space Command at the time of this publication.

Co-author Richard Warr was co-affiliated with Brigham Young University at the time of this publication.

DOI

10.1080/08982112.2018.1557685

Source Publication

Quality Engineering (ISSN 0898-2112)

Recommended Citation

Freels, J. K., Timme, D. A., Pignatiello Jr., J. J., Warr, R. L., & Hill, R. R. (2019). Maximum likelihood estimation for the poly-Weibull distribution. Quality Engineering, 31(4), 545–552. https://doi.org/10.1080/08982112.2018.1557685