New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute, 2019Beschreibung: 1 Online-Ressource (344 p.)ISBN:- 9783038979364
- 9783038979371
- n/a
- mixture index of fit
- Kullback-Leibler distance
- relative error estimation
- minimum divergence inference
- Neyman Pearson test
- influence function
- consistency
- thematic quality assessment
- asymptotic normality
- Hellinger distance
- nonparametric test
- Berstein von Mises theorem
- maximum composite likelihood estimator
- 2-alternating capacities
- efficiency
- corrupted data
- statistical distance
- robustness
- log-linear models
- representation formula
- goodness-of-fit
- general linear model
- Wald-type test statistics
- Hölder divergence
- divergence
- logarithmic super divergence
- information geometry
- sparse
- robust estimation
- relative entropy
- minimum disparity methods
- MM algorithm
- local-polynomial regression
- association models
- total variation
- Bayesian nonparametric
- ordinal classification variables
- Wald test statistic
- Wald-type test
- composite hypotheses
- compressed data
- hypothesis testing
- Bayesian semi-parametric
- single index model
- indoor localization
- composite minimum density power divergence estimator
- quasi-likelihood
- Chernoff Stein lemma
- composite likelihood
- asymptotic property
- Bregman divergence
- robust testing
- misspecified hypothesis and alternative
- least-favorable hypotheses
- location-scale family
- correlation models
- minimum penalized ?-divergence estimator
- non-quadratic distance
- robust
- semiparametric model
- divergence based testing
- measurement errors
- bootstrap distribution estimator
- generalized renyi entropy
- minimum divergence methods
- generalized linear model
- ?-divergence
- Bregman information
- iterated limits
- centroid
- model assessment
- divergence measure
- model check
- two-sample test
- Wald statistic
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