Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications / Hengky Latan, Richard Noonan editors |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xxxvii, 414 p. : ill. ; 24 cm |
Soggetto topico |
62Hxx - Multivariate analysis [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
Soggetto non controllato |
Analysis of mediation
Consistent ordinal partial least squares Factor-based PLS-SEM Hierarchical analysis PLS and computing PLS path modeling for non-metric data PLS-SEM Partial least squares path modeling Partial least squares with latent variables Predictive path modeling Structural Equation Modeling Unobserved heterogeneity |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124045 |
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications / Hengky Latan, Richard Noonan editors |
Edizione | [Cham : Springer, 2017] |
Pubbl/distr/stampa | xxxvii, 414 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
62Hxx - Multivariate analysis [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0124045 |
xxxvii, 414 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Pharmaceutical Statistics : MBSW 39, Muncie, Indiana, USA, May 16-18, 2016 / Ray Liu, Yi Tsong editors |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xi, 337 p. : ill. ; 24 cm |
Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 97M60 - Biology, chemistry, medicine (aspects of mathematics education) [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Biomarker
Biosimilarity CMC Clinical trial Pharmaceutical statistics Subgroup analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127103 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Pharmaceutical Statistics : MBSW 39, Muncie, Indiana, USA, May 16-18, 2016 / Ray Liu, Yi Tsong editors |
Edizione | [Cham : Springer, 2019] |
Pubbl/distr/stampa | xi, 337 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 97M60 - Biology, chemistry, medicine (aspects of mathematics education) [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0127103 |
xi, 337 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Robust Multivariate Analysis / David J. Olive |
Autore | Olive, David J. |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xvi, 501 p. : ill. ; 24 cm |
Soggetto topico |
62Hxx - Multivariate analysis [MSC 2020]
62G35 - Nonparametric robustness [MSC 2020] |
Soggetto non controllato |
Bootstrap Confidence Region
Canonical Correlation Analysis Discriminant Analysis MANOVA Multivariate Regression Prediction Region Principal component analysis Robust Statistics |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124177 |
Olive, David J. | ||
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Robust Multivariate Analysis / David J. Olive |
Autore | Olive, David J. |
Edizione | [Cham : Springer, 2017] |
Pubbl/distr/stampa | xvi, 501 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
62Hxx - Multivariate analysis [MSC 2020]
62G35 - Nonparametric robustness [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0124177 |
Olive, David J. | ||
xvi, 501 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Selected Contributions on Statistics and Data Science in Latin America : 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1−5 / Isadora Antoniano-Villalobos … [et al.] editors] |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | viii, 154 p. : ill. ; 24 cm |
Soggetto topico |
90C90 - Applications of mathematical programming [MSC 2020]
60Jxx - Markov processes [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Dxx - Statistical sampling theory and related topics [MSC 2020] 34Kxx - Functional-differential equations [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
Soggetto non controllato |
Bayesian Computing
Bayesian Inference for Big Data Bayesian Nonparametric Methods Computational Methods for Bayesian Inference Environmental Statistics Spatial Statistics Variational Bayesian Inference |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127152 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Selected Contributions on Statistics and Data Science in Latin America : 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1−5 / Isadora Antoniano-Villalobos … [et al.] editors] |
Edizione | [Cham : Springer, 2019] |
Pubbl/distr/stampa | viii, 154 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
90C90 - Applications of mathematical programming [MSC 2020]
60Jxx - Markov processes [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Dxx - Statistical sampling theory and related topics [MSC 2020] 34Kxx - Functional-differential equations [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0127152 |
viii, 154 p., : ill. ; 24 cm | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Sparse grids and applications : Stuttgart 2014 / Jochen Garcke, Dirk Pfluger editors |
Pubbl/distr/stampa | Cham, : Springer, 2016 |
Descrizione fisica | VIII, 336 p. : ill. ; 24 cm |
Soggetto topico |
65Nxx - Numerical methods for partial differential equations, boundary value problems [MSC 2020]
65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 65M12 - Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs [MSC 2020] 65N12 - Stability and convergence of numerical methods for boundary value problems involving PDEs [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
Soggetto non controllato |
Algorithm analysis and problem complexity
Combination technique Efficient data structures and algorithms High-dimensional approximation Sparse grids Uncertainty Quantification |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0115356 |
Cham, : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Sparse grids and applications : Munich 2012 / Jochen Garcke, Dirk Pflüger editors |
Pubbl/distr/stampa | Cham, : Springer, 2014 |
Descrizione fisica | VIII, 336 p. : ill. ; 24 cm |
Soggetto topico |
65Nxx - Numerical methods for partial differential equations, boundary value problems [MSC 2020]
65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 65M12 - Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs [MSC 2020] 65N12 - Stability and convergence of numerical methods for boundary value problems involving PDEs [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
Soggetto non controllato |
Combination technique
Data structures and algorithms High-dimensional approximation Sparse grids |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0103326 |
Cham, : Springer, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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