Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4949371 | Computational Statistics & Data Analysis | 2017 | 27 Pages |
Abstract
Defective distributions model cure rates by changing the usual domain of its parameters in a way that their survival functions converge to a value pâ(0,1). A new way to generate defective distributions to model cure fractions is proposed. The new way relies on a property derived from the Marshall-Olkin family of distributions. To exemplify this new result we use the extended Weibull distribution and introduce ten new defective distributions. A regression approach for these models is also proposed. Estimation by maximum likelihood is discussed and their asymptotes verified through simulations. Practical use is illustrated by applications to four real data sets.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Ricardo Rocha, Saralees Nadarajah, Vera Tomazella, Francisco Louzada,