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 | ||
Berlin, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Classification and Data Analysis : Theory and Applications / Krzysztof Jajuga, Jacek Batóg, Marek Walesiak editors |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xiii, 335 p. : ill. ; 24 cm |
Soggetto topico |
68Uxx - Computing methodologies and applications [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62H86 - Multivariate analysis and fuzziness [MSC 2020] |
Soggetto non controllato |
Applications of statistics in economics and finance
Applications of statistics in social problems Classification and regression trees Cluster analysis Composite measures Computer applications of statistical methods Data Mining Data analysis tools in micro and macroeconomic problems Multivariate data analysis Symbolic data analysis Visualization and scaling methods |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0248770 |
Cham, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Contingency table analysis : methods and implementation using R / Maria Kateri |
Autore | Kateri, Maria |
Pubbl/distr/stampa | New York, : Birkhäuser ; Springer, 2014 |
Descrizione fisica | XVII, 304 p. ; 24 cm |
Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
Soggetto non controllato |
Bayesian Inference
Categorical classification variable Categorical datac Commensurable classification variables Contingency tables Exact inference S-PLUS |
ISBN | 978-08-17-64810-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0102501 |
Kateri, Maria | ||
New York, : Birkhäuser ; Springer, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Contingency table analysis : methods and implementation using R / Maria Kateri |
Autore | Kateri, Maria |
Edizione | [New York : Birkhäuser] |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
ISBN | 8-0-8176-4810-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0102501 |
Kateri, Maria | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville |
Autore | Goodfellow, Ian |
Pubbl/distr/stampa | Cambridge [Mass.], : MIT, 2016 |
Descrizione fisica | XXII, 775 p. : ill. ; 24 cm. |
Altri autori (Persone) |
Bengio, Yoshua
Courville, Aaron |
Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] |
ISBN | 978-02-620-3561-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0123288 |
Goodfellow, Ian | ||
Cambridge [Mass.], : MIT, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville |
Autore | Goodfellow, Ian |
Pubbl/distr/stampa | Cambridge [Mass.], : MIT, 2016 |
Descrizione fisica | XXII, 775 p. : ill. ; 24 cm |
Altri autori (Persone) |
Bengio, Yoshua
Courville, Aaron |
Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] |
ISBN | 978-02-620-3561-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0123288 |
Goodfellow, Ian | ||
Cambridge [Mass.], : MIT, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Dynamic Data Analysis : Modeling Data with Differential Equations / James Ramsay, Giles Hooker |
Autore | Ramsay, James O. |
Pubbl/distr/stampa | New York, : Springer, 2017 |
Descrizione fisica | xvii, 230 p. : ill. ; 24 cm |
Altri autori (Persone) | Hooker, Giles |
Soggetto topico |
62J02 - General nonlinear regression [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020] 34C60 - Qualitative investigation and simulation of ordinary differential equation models [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 92D30 - Epidemiology [MSC 2020] 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] |
Soggetto non controllato |
Differential equations
Dynamic models Functional data analysis Gradient matching Linear Differential Equations Nonlinear differential equations Nonlinear profiling Numerical solutions Profiling for linear systems Qualitative behavior Trajectory matching |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123562 |
Ramsay, James O. | ||
New York, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Dynamic Data Analysis : Modeling Data with Differential Equations / James Ramsay, Giles Hooker |
Autore | Ramsay, James O. |
Edizione | [New York : Springer, 2017] |
Pubbl/distr/stampa | xvii, 230 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Altri autori (Persone) | Hooker, Giles |
Soggetto topico |
62J02 - General nonlinear regression [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020] 34C60 - Qualitative investigation and simulation of ordinary differential equation models [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 92D30 - Epidemiology [MSC 2020] 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0123562 |
Ramsay, James O. | ||
xvii, 230 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen |
Autore | Srivastava, Anuj |
Pubbl/distr/stampa | New York, : Springer, 2016 |
Descrizione fisica | XVIII, 447 p. : ill. ; 24 cm |
Altri autori (Persone) | Klassen, Eric P. |
Soggetto topico |
68U07 - Computer science aspects of computer-aided design [MSC 2020]
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020] 68U05 - Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 53A04 - Curves in Euclidean and related spaces [MSC 2020] 65D17 - Computer-aided design (modeling of curves and surfaces) [MSC 2020] 62-XX - Statistics [MSC 2020] 53B20 - Local Riemannian geometry [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] |
Soggetto non controllato |
Curves
Function data analysis Geodesic Mathematical representations Riemannian methods Shape Analysis Square-root representations Vector-space-based statistical analyses |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114787 |
Srivastava, Anuj | ||
New York, : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Functional and shape data analysis / Anuj Srivastava, Eric P. Klassen |
Autore | Srivastava, Anuj |
Edizione | [New York : Springer, 2016] |
Pubbl/distr/stampa | XVIII, 447 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Altri autori (Persone) | Klassen, Eric P. |
Soggetto topico |
68U07 - Computer science aspects of computer-aided design [MSC 2020]
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020] 68U05 - Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 53A04 - Curves in Euclidean and related spaces [MSC 2020] 65D17 - Computer-aided design (modeling of curves and surfaces) [MSC 2020] 62-XX - Statistics [MSC 2020] 53B20 - Local Riemannian geometry [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0114787 |
Srivastava, Anuj | ||
XVIII, 447 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|