Asymptotic expansion of the sample correlation coefficient under nonnormality.
Haruhiko OgasawaraPublished in: Comput. Stat. Data Anal. (2006)
Keyphrases
- learning algorithm
- correlation coefficient
- standard deviation
- root mean square error
- precision recall
- correlation analysis
- machine learning
- principal components
- root mean squared error
- chi square
- structural similarity
- intensity values
- noise variance
- rank correlation
- stepwise regression
- image quality assessment
- neural network
- sample size
- feature vectors
- intuitionistic fuzzy sets
- computer vision