Linear approximate ML estimation in scaled Type I generalized logistic distribution based on Type-II censored samples.
A. Vasudeva RaoP. SitaramacharyuluM. Chenchu RamaiahPublished in: Commun. Stat. Simul. Comput. (2017)
Keyphrases
- type ii
- type i error
- maximum likelihood
- sample set
- error minimization
- minimum description length criterion
- logistic regression
- neyman pearson
- parameter estimation
- simple linear
- random variables
- probability distribution
- maximum likelihood estimator
- probability density
- data sets
- training samples
- dirichlet distribution
- closed form solutions
- closed form
- semi parametric
- power law
- piecewise linear
- gaussian distribution
- statistically independent
- probability density function
- probability mass
- high dimensional
- survival data
- angular velocity
- training set
- learning environment