Statistical Methods in Data Science and Applications
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute, 2024Description: 1 Online-Ressource (1 electronic resource 302 p.)ISBN:- 9783725807475
- 9783725807482
- Mathematics and Science
- Mathematics
- Applied mathematics
- DINA model
- EM algorithm
- GWNR
- HRCp
- Poisson binomial distribution
- R package
- REML
- Shannon entropy
- Wilcoxon signed rank test
- asymptotic optimality
- biomarkers
- bootstrap
- bootstrap resampling
- clustering
- cognitive diagnosis model
- correction for attenuation
- correlation
- credit risk scorecards
- cumulative probabilities
- data aggregation
- data classification
- data masking
- data mining
- expectation-maximization (EM) algorithm
- feature extraction
- hybrid sine and cosine algorithm
- hypothesis testing
- imputation
- indirect questioning
- latent class
- likelihood
- likelihood ratio test
- linear estimator
- logistic regression
- maximum likelihood
- measurement error
- meta learning
- missing data
- mixed estimator
- model averaging
- model selection
- multiple application scenario datasets
- multiplicative noise
- multivariate linear mixed models
- non-ignorable missing data
- non-inferiority assessment
- non-randomized response technique
- nonparametric additive models
- nonparametric smoothing
- numerical optimization
- ordinal time series
- otsfeatures
- penalized likelihood
- popu
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https://creativecommons.org/licenses/by-nc-nd/4.0/
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