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Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
| Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar |
| Autore | Härdle, Wolfgang Karl |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 558 p. : ill. ; 24 cm |
| Altri autori (Persone) | Simar, Léopold |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62F25 - Parametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Applications in Finance
Big data analysis Cluster analysis Clustering Computationally Intensive Techniques Conjoint Measurement Analysis Dimension Reduction Techniques Discriminant Analysis Hypothesis Testing Lasso and Elastic Net Multivariate Classification Multivariate data analysis Projection Persuit Quantitative Finance Sliced Inverse Regression Variable Selection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126731 |
Härdle, Wolfgang Karl
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
| Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar |
| Autore | Härdle, Wolfgang K. |
| Edizione | [5. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 558 p. : ill. ; 24 cm |
| Altri autori (Persone) | Simar, Léopold |
| Soggetto topico |
62F25 - Parametric tolerance and confidence regions [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Applications in Finance
Big data analysis Cluster analysis Clustering Computationally Intensive Techniques Conjoint Measurement Analysis Dimension Reduction Techniques Discriminant Analysis Hypothesis Testing Lasso and Elastic Net Multivariate Classification Multivariate data analysis Projection Persuit Quantitative Finance Sliced Inverse Regression Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126731 |
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Härdle, Wolfgang K.
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina
| Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina |
| Autore | Huang, Changquan |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | x, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petukhina, Alla |
| Soggetto non controllato |
Artificial Intelligence
Big data analysis Data Visualization Data science Financial Time Series Forecasting Machine Learning for Time Series Markov switching models Multivariate time series Nonstationary Time Series Python State-space models Stationary Time Series Time Series Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276890 |
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Huang, Changquan
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina
| Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina |
| Autore | Huang, Changquan |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | x, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petukhina, Alla |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Big data analysis Data Visualization Data science Financial Time Series Forecasting Machine Learning for Time Series Markov switching models Multivariate time series Nonstationary Time Series Python State-space models Stationary Time Series Time Series Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276890 |
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Huang, Changquan
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor
| Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiv, 385 p. : ill. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Applications with real data sets
Big data analysis Complex data analysis Estimation and prediction High dimensional data analysis Model selection Shrinkage estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123738 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor
| Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiv, 385 p. : ill. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Applications with real data sets
Big data analysis Complex data analysis Estimation and prediction High dimensional data analysis Model selection Shrinkage estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123738 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big Data and Social Media Analytics : Trending Applications / Mehmet Çakırtaş, Mehmet Kemal Ozdemir editors
| Big Data and Social Media Analytics : Trending Applications / Mehmet Çakırtaş, Mehmet Kemal Ozdemir editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | vi, 245 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 68M25 - Computer security [MSC 2020] 94A16 - Informational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big data analysis
Cyber influence Link prediction Network compression Probabilistic data networks Recommendation systems Security and rescue Social media |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274597 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big Data and Social Media Analytics : Trending Applications / Mehmet Çakırtaş, Mehmet Kemal Ozdemir editors
| Big Data and Social Media Analytics : Trending Applications / Mehmet Çakırtaş, Mehmet Kemal Ozdemir editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | vi, 245 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68M25 - Computer security [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91D30 - Social networks; opinion dynamics [MSC 2020] 94A16 - Informational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big data analysis
Cyber influence Link prediction Network compression Probabilistic data networks Recommendation systems Security and rescue Social media |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274597 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Data Analysis for Direct Numerical Simulations of Turbulent Combustion : From Equation-Based Analysis to Machine Learning / Heinz Pitsch, Antonio Attili editors
| Data Analysis for Direct Numerical Simulations of Turbulent Combustion : From Equation-Based Analysis to Machine Learning / Heinz Pitsch, Antonio Attili editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | ix, 292 p. : ill. ; 24 cm |
| Soggetto topico | 80-XX - Classical thermodynamics, heat transfer [MSC 2020] |
| Soggetto non controllato |
Big data analysis
Combustion Modeling Direct Numerical Simulation Large eddy simulation Turbulence modeling Turbulent Combustion Turbulent Reactive Flows |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248964 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Data Analysis for Direct Numerical Simulations of Turbulent Combustion : From Equation-Based Analysis to Machine Learning / Heinz Pitsch, Antonio Attili editors
| Data Analysis for Direct Numerical Simulations of Turbulent Combustion : From Equation-Based Analysis to Machine Learning / Heinz Pitsch, Antonio Attili editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | ix, 292 p. : ill. ; 24 cm |
| Soggetto topico | 80-XX - Classical thermodynamics, heat transfer [MSC 2020] |
| Soggetto non controllato |
Big data analysis
Combustion Modeling Direct Numerical Simulation Large eddy simulation Turbulence modeling Turbulent Combustion Turbulent Reactive Flows |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248964 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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