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State Space Modeling of Time Series / Masanao Aoki
| State Space Modeling of Time Series / Masanao Aoki |
| Autore | Aoki, Masanao |
| Pubbl/distr/stampa | Berlin, : Springer, 1987 |
| Descrizione fisica | xi, 315 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
93B30 - System identification [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 93E12 - Identification in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Algorithms
Dynamic Programming Forecasting Informations Innovation Instrumental variables Modeling Optimization Rating Regression Time series Value at risk |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0264328 |
Aoki, Masanao
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| Berlin, : Springer, 1987 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati
| Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati |
| Autore | Etzioni, Ruth |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxii, 222 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Gulati, Roman
Mandel, Micha |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Analytic methods
Biostatistics Data science Epidemiology Health Care Databases Health Data Analytics Health Economics Health Outcomes Health Services Machine learning Medical Claims Data Models Prediction Predictive Modeling Public Health Regression Risk Statistical analysis Surveys |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249870 |
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Etzioni, Ruth
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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The multiple facets of partial least squares and related methods : PLS, Paris, France, 2014 / Hervé Abdi ... [et al.] editors
| The multiple facets of partial least squares and related methods : PLS, Paris, France, 2014 / Hervé Abdi ... [et al.] editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 316 p. : ill. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Component Analysis
Multi-block data analysis Partial Least Squares Regression Regularization Structural Equation Modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115432 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Topics on methodological and applied statistical inference / Tonio Di Battista, Elías Moreno, Walter Racugno editors
| Topics on methodological and applied statistical inference / Tonio Di Battista, Elías Moreno, Walter Racugno editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | X, 220 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62Dxx - Statistical sampling theory and related topics [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Applied Statistics
Bayesian Inference Likelihood approach Meta-analysis Outliers Pseudo-likelihoods Regression Robustness Statistical Data Analysis Statistical applications in the life sciences Statistical applications in the social sciences Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115452 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Using R for Biostatistics / Thomas W. MacFarland, Jan M. Yates
| Using R for Biostatistics / Thomas W. MacFarland, Jan M. Yates |
| Autore | MacFarland, Thomas W. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xxxv, 902 p. : ill. ; 24 cm |
| Altri autori (Persone) | Yates, Jan M. |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
Association
Biostatistics Correlation Data organization Descriptive Statistics Friedman two-way analysis of variance Kruskal-Wallis Mann-Whitney U test Measures of central tendency Nonparametric sata Parametric data Pearson's R R software Regression S software Spearman's rho Wilcoxon matched-pairs signed-ranks test one-way analysis of variance t-test |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275382 |
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MacFarland, Thomas W.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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