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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
| Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 608 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62K20 - Response surface designs [MSC 2020] |
| Soggetto non controllato |
ANOVA
Data analysis Excel Factor analysis Heteroscedasticity Mathematical statistics Mixed models Multivariate models Statistica Time series |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126672 |
Christensen, Ronald
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advances in Data Science / Ilke Demir ... [et al.] editors
| Advances in Data Science / Ilke Demir ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xx, 364 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] 62-XX - Statistics [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Data analysis
Discrete approximations Health science Incomplete and multi-modal data Methods involving duality Networking Regularization Spatial-temporal dynamics modeling Statistical topological learning algorithms User anonymity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274518 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors
| Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | VIII, 268 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Causal inference
Classification Custering Data analysis Dglars Fuzzy methods Multidimensional methods Quantile regression Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113490 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Agent-based modeling in humanitarian interventions : emerging research and opportunities / / John McCaskill
| Agent-based modeling in humanitarian interventions : emerging research and opportunities / / John McCaskill |
| Autore | McCaskill John |
| Pubbl/distr/stampa | Hershey, Pennsylvania : , : IGI Global, , 2017 |
| Descrizione fisica | PDFs (99 pages) : illustrations |
| Disciplina | 341.584 |
| Collana | Advances in Electronic Government, Digital Divide, and Regional Development (AEGDDRD) Book Series |
| Soggetto topico |
Humanitarian intervention - Management
Multiagent systems |
| Soggetto non controllato |
Complexity theory
Data analysis Ethical considerations Military involvement Non-governmental organizations Policy implications |
| ISBN |
9781522517832
9781522517825 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Literature review -- Agent-based modeling -- The simulation presented in the ODD protocol -- Findings and conclusion. |
| Record Nr. | UNINA-9910155145903321 |
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McCaskill John
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| Hershey, Pennsylvania : , : IGI Global, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Algebraic Foundations for Applied Topology and Data Analysis / Hal Schenck
| Algebraic Foundations for Applied Topology and Data Analysis / Hal Schenck |
| Autore | Schenck, Hal |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xii, 224 p. : ill. ; 24 cm |
| Soggetto non controllato |
Algebraic Topology
Applied algebra Applied topology Computational Algebra Computational mathematics Data analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276833 |
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Schenck, Hal
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Clustering with R / Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
| An Introduction to Clustering with R / Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
| Autore | Giordani, Paolo |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xvii, 340 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ferraro, Maria B.
Martella, Francesca |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62H86 - Multivariate analysis and fuzziness [MSC 2020] |
| Soggetto non controllato |
Cluster analysis
Data analysis Multivariate statistics Practical Guide R Datasets R code R software |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250081 |
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Giordani, Paolo
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| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.]
| An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 276 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Data Mining Data analysis Data science Databases in R Descriptive Statistics Multivariate statistics R code R package Statistical inference Visualization Web scraping |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248672 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xvi, 336 p. : ill. ; 24 cm |
| Soggetto non controllato |
Alternative to R
Applications in the life sciences Bayesian Statistics Data Visualization Data analysis Generalized Linear Models Hypothesis tests Introductory Statistics Patterns in data Programming tools Python Python source code Regression Statistical Methods Statistical Modelling Statistical tests Survival times Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0276849 |
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Haslwanter, Thomas
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [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] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114408 |
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Haslwanter, Thomas
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of large and complex data / Adalbert F. X. Wilhelm, Hans A. Kestler editors
| Analysis of large and complex data / Adalbert F. X. Wilhelm, Hans A. Kestler editors |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | XXVI, 656 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big Data
Classification Cluster analysis Complex data Computational statistics Data analysis Musicology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114420 |
| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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