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Statistical Inference Under Mixture Models / Jiahua Chen
| Statistical Inference Under Mixture Models / Jiahua Chen |
| Autore | Chen, Jiahua |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xiv, 327 p. : ill. ; 24 cm |
| Soggetto non controllato |
EM-algorithm
EM-test Homogeneity Hypothesis test Likelihood-ratio test Maximum likelihood estimation Mixture model Modified likelihood Nonparametric MLE Optimal rate of convergence Penalized MLE |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0279286 |
Chen, Jiahua
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| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Inference Under Mixture Models / Jiahua Chen
| Statistical Inference Under Mixture Models / Jiahua Chen |
| Autore | Chen, Jiahua |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xiv, 327 p. : ill. ; 24 cm |
| Soggetto non controllato |
EM-algorithm
EM-test Homogeneity Hypothesis test Likelihood-ratio test Maximum likelihood estimation Mixture model Modified likelihood Nonparametric MLE Optimal rate of convergence Penalized MLE |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279286 |
|
Chen, Jiahua
|
||
| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Stochastic Models for Geodesy and Geoinformation Science
| Stochastic Models for Geodesy and Geoinformation Science |
| Autore | Neitzel Frank |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (200 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
EM-algorithm
multi-GNSS PPP process noise observation covariance matrix extended Kalman filter machine learning GNSS phase bias sequential quasi-Monte Carlo variance reduction autoregressive processes ARMA-process colored noise continuous process covariance function stochastic modeling time series elementary error model terrestrial laser scanning variance-covariance matrix terrestrial laser scanner stochastic model B-spline approximation Hurst exponent fractional Gaussian noise generalized Hurst estimator very long baseline interferometry sensitivity internal reliability robustness CONT14 Errors-In-Variables Model Total Least-Squares prior information collocation vs. adjustment mean shift model variance inflation model outlierdetection likelihood ratio test Monte Carlo integration data snooping GUM analysis geodetic network adjustment stochastic properties random number generator Monte Carlo simulation 3D straight line fitting total least squares (TLS) weighted total least squares (WTLS) nonlinear least squares adjustment direct solution singular dispersion matrix laser scanning data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557154003321 |
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Neitzel Frank
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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