Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
1: Design of Clinical Trials / Karl E. Peace, Ding-Geng Chen, Sandeep Menon editors
| 1: Design of Clinical Trials / Karl E. Peace, Ding-Geng Chen, Sandeep Menon editors |
| Edizione | [Singapore : Springer, 2018] |
| Pubbl/distr/stampa | xiv, 409 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0125122 |
| xiv, 409 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
21 : Siti : Torre Castelluccia-Zambrone / [curato da Maria Ida Gulletta e Cesare Cassanelli ; ha collaborato Gianluca Casa]
| 21 : Siti : Torre Castelluccia-Zambrone / [curato da Maria Ida Gulletta e Cesare Cassanelli ; ha collaborato Gianluca Casa] |
| Pubbl/distr/stampa | Pisa, : Scuola normale superiore ; Roma, : École française de Rome ; Napoli, : Centre J. Bérard, 2012 |
| Descrizione fisica | XX, 1177 p., [69] carte di tav. ; 25 cm. |
| Soggetto topico |
92Bxx - Mathematical biology in general [MSC 2020]
65Zxx - Applications to the sciences [MSC 2020] 65Dxx - Numerical approximation and computational geometry (primarily algorithms) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 00A66 - Mathematics and visual arts [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNICAMPANIA-SUN0123890 |
| Pisa, : Scuola normale superiore ; Roma, : École française de Rome ; Napoli, : Centre J. Bérard, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
3: Pharmaceutical Applications / Karl E. Peace, Ding-Geng Chen, Sandeep Menon editors
| 3: Pharmaceutical Applications / Karl E. Peace, Ding-Geng Chen, Sandeep Menon editors |
| Edizione | [Singapore : Springer, 2018] |
| Pubbl/distr/stampa | xv, 426 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0125124 |
| xv, 426 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding
| Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding |
| Autore | Knafl, George J. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XXVI, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ding, Kai |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Adaptive Modeling
Cross-validation Fractional polynomials Generalized additive modeling Heuristic search Nonlinear regression |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114260 |
Knafl, George J.
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding
| Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding |
| Autore | Knafl, George J. |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XXVI, 372 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Ding, Kai |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114260 |
|
Knafl, George J.
|
||
| XXVI, 372 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors
| Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors |
| Pubbl/distr/stampa | Cham, : Springer, 2015 |
| Descrizione fisica | viii, 209 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] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Biodata mining
Classification and prediction of high dimensional data Complex data surveys Complexity Computational methods for statistics Statistical methods for industry and technology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125295 |
| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors
| Advances in Complex Data Modeling and Computational Methods in Statistics / Anna Maria Paganoni, Piercesare Secchi editors |
| Edizione | [Cham : Springer, 2015] |
| Pubbl/distr/stampa | viii, 209 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| 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] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [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-SUN0125295 |
| viii, 209 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114408 |
|
Haslwanter, Thomas
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XVII, 278 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [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-SUN0114408 |
|
Haslwanter, Thomas
|
||
| XVII, 278 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
(215)
- 62-XX - Statistics [MSC 2020] (114)
- 92B15 - General Biostatistics [MSC 2020] (48)
- 92-XX - Biology and other natural sciences [MSC 2020] (44)
- 62R07 - Statistical aspects of big data and data science [MSC 2020] (30)