On a Model for Hazard Rates
β Scribed by Dr. Sharayu Paranjape; M. B. Rajarshi; A. P. Gore
- Publisher
- John Wiley and Sons
- Year
- 1985
- Tongue
- English
- Weight
- 269 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
This note propOsee a new model for summarising data on survival distribution. A simple graphical method (or equivalently a linear-regression-based method) for estimation of parameters is given.
The model is shown to describe adequately data on Survivorship of Starling Birds reported by LACK (1943) and data on power generators reported by DHILLON (1981). A comment is added to
illustrate how one can obtain a goodness of fit statistic which has a chi-squared distributions.
π SIMILAR VOLUMES
An approximete repreeentefion k given for the pertiel likelihood estimate of the regreaeion coefficient in Cox's proportional h d model which indicetee how it meesnras the d a t i o n presentation is closely dated to the first step of a Newton-Rsphson iterstion, i.e. t o the maore teet. A ~d e r rep
A wholly parametric non-proportional hazards survival model is introduced. The model retains Cox's constant of proportionality as the leading term in the relative risk but permits additional flexibility by modelling the relative risk as a function of time. Covariate effects are modelled on the log o
## Abstract In order to avoid βfrailtyβ in deterministic assumptions concerning survival law, in this paper stochastic volatility in the force of mortality is considered. In particular, mortality rates are studied by means of a stochastic model of CIR type. A method for estimating its parameters is