Randomly left or right truncated observations occur when one is concerned with estimation of the distribution of time between two events and when one only observes the time if one of the two events falls in a fixed time-window, so that longer survivial times have higher probability to be part of the
โฆ LIBER โฆ
The Probability of Degenerate Maximum-Likelihood Estimates with Randomly Truncated Survival Data
โ Scribed by D. J. Murdoch and A. J. Benjamin
- Book ID
- 115057149
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- French
- Weight
- 489 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0319-5724
- DOI
- 10.2307/3315814
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Nonparametric Estimation of the Bivariat
โ
Mark J. van der Laan
๐
Article
๐
1996
๐
Elsevier Science
๐
English
โ 766 KB
Maximum likelihood estimation of the dyn
โ
Alessandro Fassรฒ; Francesco Finazzi
๐
Article
๐
2011
๐
John Wiley and Sons
๐
English
โ 509 KB
Maximum likelihood estimation of the Bur
โ
F.K. Wang; J.B. Keats; William J. Zimmer
๐
Article
๐
1996
๐
Elsevier Science
๐
English
โ 222 KB
MAXIMUM LIKELIHOOD ESTIMATION OF PARAMET
โ
Tallis, G. M. ;Young, S. S. Y.
๐
Article
๐
1962
๐
Wiley (Blackwell Publishing)
๐
English
โ 287 KB
The computation of maximum likelihood es
โ
Stuart C. Hartz; Lynn A. Rosenberg
๐
Article
๐
1975
๐
Elsevier Science
โ 526 KB
Maximum likelihood estimation of the cor
โ
Steven T. Garren
๐
Article
๐
1998
๐
Elsevier Science
๐
English
โ 396 KB
The maximum likelihood estimator (MLE) of the correlation coefficient and its asymptotic properties are well-known for bivariate normal data when no observations are missing. The situation in which one of the two variates is not observed in some of the data is examined herein. The MLE of the correla