Stress-Strength Parameter Estimation under Small Sample Size: A Testing Hypothesis Approach.
Hassan AlsuhabiMohammad Mehdi SaberM. M. Abd El-RaoufPublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- parameter estimation
- small sample size
- sample size
- model selection
- high dimensionality
- linear discriminant analysis
- maximum likelihood
- high dimensional
- markov random field
- face recognition
- high dimensional data
- least squares
- parameter estimation algorithm
- microarray data
- feature selection
- random fields
- em algorithm
- sample space
- expectation maximization
- dimensionality reduction
- model fitting
- feature space
- estimation problems
- low dimensional
- support vector machine svm
- feature vectors
- image segmentation