Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xv, 472 p. : ill. ; 24 cm |
Soggetto topico |
00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 91D10 - Models of societies, social and urban evolution [MSC 2020] 91F10 - History, political science [MSC 2020] |
Soggetto non controllato |
Behaviormetrics
Classification Data science Marketing Science Multidimensional Representation of Data Visualization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0250061 |
Singapore, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama editors |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xv, 472 p. : ill. ; 24 cm |
Soggetto topico |
00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 91D10 - Models of societies, social and urban evolution [MSC 2020] 91F10 - History, political science [MSC 2020] |
Soggetto non controllato |
Behaviormetrics
Classification Data science Marketing Science Multidimensional Representation of Data Visualization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00250061 |
Singapore, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xi, 524 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
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] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
Soggetto non controllato |
Classification
Cluster analysis Complex data Marketing Science Multidimensional Representation of Data Visualization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0250066 |
Singapore, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xi, 524 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [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 |
Classification
Cluster analysis Complex data Marketing Science Multidimensional Representation of Data Visualization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00250066 |
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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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 |
62-XX - Statistics [MSC 2020]
62H12 - Estimation in multivariate analysis [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-VAN00248672 |
Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster |
Autore | Özarslan Evren |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Springer Nature, 2021 |
Descrizione fisica | 1 online resource (X, 280 p. 109 illus., 91 illus. in color.) |
Disciplina | 004 |
Collana | Mathematics and Visualization |
Soggetto topico |
Mathematics
Visualization Matrix theory Algebra Computer mathematics Optical data processing Mathematical physics Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics |
Soggetto non controllato |
Visualization
Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics Data and Information Visualization Linear Algebra tensor tensor fields higher-order harmonics spherical harmonics image processing medical imaging diffusion-weighted imaging (DWI) structural mechanics astrophysics statistics open access Combinatorics & graph theory Algebra Maths for scientists Computer vision Mathematical physics |
ISBN | 3-030-56215-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry. |
Record Nr. | UNISA-996466563203316 |
Özarslan Evren
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Springer Nature, 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Anisotropy Across Fields and Scales / Evren Özarslan ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | x, 280 p. : ill. ; 24 cm |
Soggetto topico |
68Uxx - Computing methodologies and applications [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] 53-XX - Differential geometry [MSC 2020] 74E10 - Anisotropy in solid mechanics [MSC 2020] 15A69 - Multilinear algebra, tensor calculus [MSC 2020] 60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] |
Soggetto non controllato |
Astrophysics
Diffusion-weighted imaging Higher-order harmonics Image processing Matrix theory Medical Imaging Spherical Harmonics Statistics Structural mechanics Tensor Tensor fields Visualization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274551 |
Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Anisotropy Across Fields and Scales / Evren Özarslan ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | x, 280 p. : ill. ; 24 cm |
Soggetto topico |
15A69 - Multilinear algebra, tensor calculus [MSC 2020]
53-XX - Differential geometry [MSC 2020] 60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] 68Uxx - Computing methodologies and applications [MSC 2020] 74E10 - Anisotropy in solid mechanics [MSC 2020] 94-XX - Information and communication theory, circuits [MSC 2020] |
Soggetto non controllato |
Astrophysics
Diffusion-weighted imaging Higher-order harmonics Image processing Matrix theory Medical Imaging Spherical Harmonics Statistics Structural mechanics Tensor Tensor fields Visualization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00274551 |
Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin |
Autore | Härdle, Wolfgang Karl |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xxi, 305 p. : ill. ; 24 cm |
Altri autori (Persone) |
Okhrin, Ostap
Okhrin, Yarema |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
Soggetto non controllato |
Computational statistics
Data reproducibility Graphical techniques High dimensional data analysis Multivariate statistical analysis Nonparametric methods Numerical techniques in statistics Programming language R Quantlets R sniplet Random numbers Regression Univariate statistical analysis Visualization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123979 |
Härdle, Wolfgang Karl
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Cham, : Springer, 2017 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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