2. / Audrey Terras |
Autore | Terras, Audrey |
Pubbl/distr/stampa | New York, : Springer-Verlag, 1988 |
Descrizione fisica | xi, 385 p. : ill. ; 24 cm |
Soggetto topico |
11-XX - Number theory [MSC 2020]
43A85 - Analysis on homogeneous spaces [MSC 2020] 53C35 - Differential geometry of symmetric spaces [MSC 2020] 43-XX - Abstract harmonic analysis [MSC 2020] 11F27 - Theta series; Weil representation; theta correspondences [MSC 2020] 33C80 - Connections of hypergeometric functions with groups and algebras, and related topics [MSC 2020] 22E30 - Analysis on real and complex Lie groups [MSC 2020] 11M35 - Hurwitz and Lerch zeta functions [MSC 2020] |
Soggetto non controllato |
Automorphic forms
Boundary Element Methods Differential operators Distribution Functions Geometry Integration Matrices Metric spaces Modular forms Multivariate statistics Statistics Theta functions |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0269027 |
Terras, Audrey
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New York, : Springer-Verlag, 1988 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / Daniel Durstewitz |
Autore | Durstewitz, Daniel |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xxv, 292 p. : ill. ; 24 cm |
Soggetto topico |
92C20 - Neural biology [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 |
Bootstrap methods
Change point analysis Clustering Dimensionality reduction Machine learning Multiple testing Multivariate maps and recurrent neural networks Multivariate statistics Neural time series Nonlinear dynamical systems Nonlinear oscillations Nonparametric time series modeling Principal component analysis Reconstructing state spaces from experimental data Statistical methods in neuroscience Statistical parameter estimation Unsupervised clustering |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123545 |
Durstewitz, Daniel
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Cham, : Springer, 2017 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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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 |
Giordani, Paolo
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Singapore, : Springer, 2020 | ||
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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.] |
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 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Analyzing Dependent Data with Vine Copulas : A Practical Guide With R / Claudia Czado |
Autore | Czado, Claudia |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xxix, 242 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
Soggetto non controllato |
Bivariate copula
Case study Copulas Dependence measures Dependence modeling Dependent data Model selection Multivariate statistics Pair copula Pair copula decomposition Parameter estimation in copulas R package VineCopula Regular vine copula Simulating regular vine copulas Statistical inference for vine copulas Tail Dependence Vine copula based modeling Vine copulas |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0126725 |
Czado, Claudia
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Cham, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens |
Autore | Wehrens, Ron |
Edizione | [2. ed] |
Pubbl/distr/stampa | Berlin, : Springer, 2020 |
Descrizione fisica | xvi, 308 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
Soggetto non controllato |
Boootstrap
Clustering Linear regression Missing values Multidimensional Scaling Multivariate curve resolution Multivariate statistics Neural networks Non-Linear regression Partial least squares regression Principal component analysis R software Ssupport vector machines Statistical process control Time warping Variable Selection |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0248480 |
Wehrens, Ron
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Berlin, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | X, 209 p. : ill. ; 24 cm |
Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
62-XX - Statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Applications in computer science
Applications in geochemistry Applications in the life sciences Compositional data Constrained data Geochemical data Log-ratio approach Log-ratio transformation Multivariate statistics Statistical modeling of compositional data |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114539 |
[Cham], : Springer, 2016 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Data mining with SPSS modeler : theory, exercises and solutions / Tilo Wendler, Sören Gröttrup |
Autore | Wendler, Tilo |
Edizione | [2. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xv, 1274 p. : ill. ; 24 cm |
Altri autori (Persone) | Gröttrup, Sören |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Classification models
Cluster analysis Cross-industry standard process for data mining Data Mining Data mining processes Factor analysis IBM SPSS Modeler Imbalanced Data Multivariate statistics Predictive analytics R and SPSS Modeler Regression models Resampling techniques Statistical Methods Statistical software |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0274692 |
Wendler, Tilo
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Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Illustrating statistical procedures: finding meaning in quantitative data / Ray W. Cooksey |
Autore | Cooksey, Ray W. |
Edizione | [3. ed] |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xxv, 737 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] |
Soggetto non controllato |
Correlational Statistics
Data Collection Descriptive Statistics Foundation Statistics Inferential Statistics Multivariate statistics Quantitative Data Statistical Interpretation Statistical Methods Statistical Procedures Statistical analysis Statistical model |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0250151 |
Cooksey, Ray W.
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Singapore, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Lectures on Dependency : Selected Topics in Multivariate Statistics / Thorsten Dickhaus |
Autore | Dickhaus, Thorsten |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xiv, 56 p. : ill. ; 24 cm |
Soggetto non controllato |
Copula
Correlation Covariance Covariances of order statistics Dependence Equi-correlation matrices Multivariate statistics Normal distribution Population correlation coefficient Rearrangement algorithm Skew-normal distributions Stochastic-statistical dependencies Weighted bootstrap |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0277754 |
Dickhaus, Thorsten
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Cham, : Springer, 2022 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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