Access the full text.
Sign up today, get DeepDyve free for 14 days.
G. Hahn, C. Morgan, J. Schmee (1981)
The Analysis of a Fractional Factorial Experiment With Censored Data Using Iterative least SquaresTechnometrics, 23
W. Nelson, G. Hahn (1972)
Linear Estimation of a Regression Relationship from Censored Data Part I—Simple Methods and Their ApplicationTechnometrics, 14
J. Krall, V. Uthoff, J. Harley (1975)
A step-up procedure for selecting variables associated with survival.Biometrics, 31 1
J. Schmee, G. Hahn (1979)
A Simple Method for Regression Analysis With Censored DataTechnometrics, 21
G. Hahn, W. Nelson (1974)
A Comparison of Methods for Analyzing Censored Life Data to Estimate Relationships Between Stress and Product LifeIEEE Transactions on Reliability, 1
M. Hamada, C. Wu (1991)
Analysis of censored data from higly fractionated experimentsQuality Engineering, 36
Victor Torres (1993)
A Simple Analysis of Unreplicated Factorials with Possible AbnormalitiesJournal of Quality Technology, 25
W. Nelson, G. Hahn (1973)
Linear Estimation of a Regression Relationship from Censored Data—Part II Best Linear Unbiased Estimation and TheoryTechnometrics, 15
Considers that, occasionally, only part of an experiment can be completed owing to some uncontrollable causes such as the damage to the instrument, power failure during the experiment, and time and cost limitations. States that such incomplete data are generally referred to as censored data. Shows that conventional approaches for analysis of censored data are computationally complicated and often difficult to explain to practitioners. In this work, an effective procedure based on the rank transformation of the responses and the regression analysis is proposed for analysing an experiment with singly censored data. Proposes the procedure is simpler than conventional methods such as maximum likelihood estimation and Taguchis minute accumulating analysis. Verifies the proposed procedure by a numerical example.
International Journal of Quality & Reliability Management – Emerald Publishing
Published: Jul 1, 1997
Keywords: Censorship; Data protection; Non‐parametric measure; Regression analysis
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.