Journal ArticleDOI
Two Sample Tests in the Weibull Distribution
Darrel R. Thoman,Lee J. Bain +1 more
TLDR
In this paper, a test based on maximum likelihood estimators is given for testing the equality of the shape parameters in two Weibull distributions with the scale parameters unknown, along with a procedure for selecting the process with the larger mean life.Abstract:
A test based on maximum likelihood estimators is given for testing the equality of the shape parameters in two Weibull distributions with the scale parameters unknown. Tests for the equality of the scale parameters are also presented along with a procedure for selecting the Weibull process with the larger mean life.read more
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Book
Applied life data analysis
TL;DR: This book summarizes the author's research into basic concepts and Distributions for Product Life and presents a meta-analyses of Inspection Data (Qualtal--Response and Interval Data) and Maximum Likelihood Comparisons (Multiply Censored and Other Data).
Book ChapterDOI
Fire Frequency Models, Methods and Interpretations*
Edward A. Johnson,S. L. Gutsell +1 more
Journal ArticleDOI
The Weibull Distribution: A New Method of Summarizing Survivorship Data
TL;DR: The shape parameter controls the rate of change of the age- specific mortality rate and, therefore, the general form of the survivorship curve.
Journal ArticleDOI
Frequent Fires in Ancient Shrub Tundra: Implications of Paleorecords for Arctic Environmental Change
Philip E. Higuera,Linda B. Brubaker,Patricia M. Anderson,Thomas A. Brown,Alison T. Kennedy,Feng Sheng Hu +5 more
TL;DR: Paleoecological data suggest that greater fire activity will likely accompany temperature-related increases in shrub-dominated tundra predicted for the 21st century and beyond, which will have broad impacts on physical and biological systems as well as on land-atmosphere interactions in the Arctic.
Journal ArticleDOI
Survival analysis in public health research
Elisa T. Lee,Oscar T. Go +1 more
TL;DR: The common statistical techniques employed to analyze survival data in public health research, including the Kaplan-Meier method for estimating the survival function and the Cox proportional hazards model to identify risk factors and to obtain adjusted risk ratios are reviewed.
References
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Journal ArticleDOI
Inferences on the Parameters of the Weibull Distribution
TL;DR: The problems of estimation and testing hypotheses regarding the parameters in the Weibull distribution are considered in this paper, where exact confidence intervals for the parameters based upon maximum likelihood estimators are presented.
Journal ArticleDOI
The Discximination Between Two Weibull Processes
TL;DR: In this article, the problem of selecting the particular process with the larger mean life is considered, and three techniques are considered and three procedures are constructed to show their advantages, and an alternative sequential procedure has also been proposed and shown to be valuable in some situations.
Journal ArticleDOI
Sampling Inspection Plans for Discriminating Between Two Weibull Processes
TL;DR: Four procedures for choosing the better of two processes, the units from which have life times distributed according to the Weibull distribution were formulated in an earlier paper and some sampling plans based on them are discussed here.