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A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu
| A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu |
| Autore | Li, Bing |
| Pubbl/distr/stampa | New York, : Springer, 2019 |
| Descrizione fisica | xii, 379 p. ; 24 cm |
| Altri autori (Persone) | Babu, Jogesh |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Bxx - Sufficiency and information [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Soggetto non controllato |
Asymptotic Theory
Bayes Bayesian Cauchy-Schwarz Conditional inference Differentiable under the integral sign Empirical Bayes Estimating equations Finite-sample estimation Finite-sample theory Generalized Linear Models Le Cam-Hajek Local Asymptotic Normal Posterior distributions Quasi-likelihood estimation Shrinkage estimates Statistical estimation Statistical inference Stochastic equicontinuity |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127251 |
Li, Bing
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| New York, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu
| A Graduate Course on Statistical Inference / Bing Li, G. Jogesh Babu |
| Autore | Li, Bing |
| Pubbl/distr/stampa | New York, : Springer, 2019 |
| Descrizione fisica | xii, 379 p. ; 24 cm |
| Altri autori (Persone) | Babu, Jogesh |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Bxx - Sufficiency and information [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Asymptotic Theory
Bayes Bayesian Cauchy-Schwarz Conditional inference Differentiable under the integral sign Empirical Bayes Estimating equations Finite-sample estimation Finite-sample theory Generalized Linear Models Le Cam-Hajek Local Asymptotic Normal Posterior distributions Quasi-likelihood estimation Shrinkage estimates Statistical estimation Statistical inference Stochastic equicontinuity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127251 |
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Li, Bing
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| New York, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors
| Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xviii, 364 p. : ill. ; 24 cm |
| Soggetto non controllato |
Bayes
Bayesian Inference Reliability analysis Statistical computing Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276937 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors
| Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xviii, 364 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Bayes
Bayesian Inference Reliability analysis Statistical computing Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276937 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Empirical modeling and data analysis for engineers and applied scientists / Scott A. Pardo ; with contributions by Yehudah A. Pardo
| Empirical modeling and data analysis for engineers and applied scientists / Scott A. Pardo ; with contributions by Yehudah A. Pardo |
| Autore | Pardo, Scott A. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XV, 247 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 62P35 - Applications of statistics to physics [MSC 2020] |
| Soggetto non controllato |
Analysis
Applications Applied scientist Bayes Engineering Experimental design Measurement Methods Modeling Models Operations Research Probability Regression Reliability Six Sigma Statistics Taguchi Validation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114673 |
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Pardo, Scott A.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Empirical modeling and data analysis for engineers and applied scientists / Scott A. Pardo ; with contributions by Yehudah A. Pardo
| Empirical modeling and data analysis for engineers and applied scientists / Scott A. Pardo ; with contributions by Yehudah A. Pardo |
| Autore | Pardo, Scott A. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XV, 247 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 62P35 - Applications of statistics to physics [MSC 2020] 68-XX - Computer science [MSC 2020] |
| Soggetto non controllato |
Analysis
Applications Applied scientist Bayes Engineering Experimental design Measurement Methods Modeling Models Operations Research Probability Regression Reliability Six Sigma Statistics Taguchi Validation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114673 |
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Pardo, Scott A.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Evolutionary computation in stochastic environments
| Evolutionary computation in stochastic environments |
| Autore | Schmidt Christian |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2007 |
| Descrizione fisica | 1 online resource (VII, 128 p. p.) |
| Soggetto non controllato |
Bayes
Evolutionary Algorithm Genetic Algorithms Ranking & Selection Simulation based optimization Uncertainty |
| ISBN | 1000006634 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346941803321 |
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Schmidt Christian
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| KIT Scientific Publishing, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Let’s Calculate Bach : Applying Information Theory and Statistics to Numbers in Music / Alan Shepherd
| Let’s Calculate Bach : Applying Information Theory and Statistics to Numbers in Music / Alan Shepherd |
| Autore | Shepherd, Alan |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xxxiv, 352 p. : ill. ; 24 cm |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
94A15 - Information theory (general) [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Bach
Bayes Bayesian networks Biases Coding Computers Encoding information in music Information Theory Monte-Carlo Simulation Musicology Numerology Proportional parallelism Proportions Scientific tools in the humanities Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274870 |
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Shepherd, Alan
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Let’s Calculate Bach : Applying Information Theory and Statistics to Numbers in Music / Alan Shepherd
| Let’s Calculate Bach : Applying Information Theory and Statistics to Numbers in Music / Alan Shepherd |
| Autore | Shepherd, Alan |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xxxiv, 352 p. : ill. ; 24 cm |
| Soggetto topico |
62Pxx - Applications of statistics [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 94A15 - Information theory (general) [MSC 2020] |
| Soggetto non controllato |
Bach
Bayes Bayesian networks Biases Coding Computers Encoding information in music Information Theory Monte-Carlo Simulation Musicology Numerology Proportional parallelism Proportions Scientific tools in the humanities Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274870 |
|
Shepherd, Alan
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Plane Answers to Complex Questions : The Theory of Linear Models / Ronald Christensen
| Plane Answers to Complex Questions : The Theory of Linear Models / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxii, 529 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato |
Bayes
Data analysis Estimation Gauss-Markov Heteroscedasticity Linear Models Linear model theory Regression analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249646 |
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Christensen, Ronald
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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