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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 |
| 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]
62-08 - Computational methods for problems pertaining to statistics [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [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 |
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-VAN00125295 |
| 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 | ||
| ||
Advances in time series methods and applications : the A. Ian McLeod festschrift / Wai Keung Li, David A. Stanford, Hao Yu editors
| Advances in time series methods and applications : the A. Ian McLeod festschrift / Wai Keung Li, David A. Stanford, Hao Yu editors |
| Pubbl/distr/stampa | New York, : Fields Institute for Research in the Mathematical Sciences, : Springer, 2016 |
| Descrizione fisica | VIII, 293 p. : ill. ; 24 cm |
| Soggetto topico |
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0114386 |
| New York, : Fields Institute for Research in the Mathematical Sciences, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in time series methods and applications : the A. Ian McLeod festschrift / Wai Keung Li, David A. Stanford, Hao Yu editors
| Advances in time series methods and applications : the A. Ian McLeod festschrift / Wai Keung Li, David A. Stanford, Hao Yu editors |
| Pubbl/distr/stampa | New York, : Fields Institute for Research in the Mathematical Sciences, : Springer, 2016 |
| Descrizione fisica | VIII, 293 p. : ill. ; 24 cm |
| Soggetto topico |
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00114386 |
| New York, : Fields Institute for Research in the Mathematical Sciences, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in time series methods and applications : the A. Ian McLeod festschrift / Wai Keung Li, David A. Stanford, Hao Yu editors
| Advances in time series methods and applications : the A. Ian McLeod festschrift / Wai Keung Li, David A. Stanford, Hao Yu editors |
| Edizione | [New York : Fields Institute for Research in the Mathematical Sciences : Springer, 2016] |
| Pubbl/distr/stampa | VIII, 293 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114386 |
| VIII, 293 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Compositional Data Analysis : With Worked Examples in R / Peter Filzmoser, Karel Hron, Matthias Templ
| Applied Compositional Data Analysis : With Worked Examples in R / Peter Filzmoser, Karel Hron, Matthias Templ |
| Autore | Filzmoser, Peter |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xvii, 280 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hron, Karel
Templ, Matthias |
| Soggetto topico |
15A03 - Vector spaces, linear dependence, rank, lineability [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Soggetto non controllato |
Analyzing compositional data using R
Applications of compositional data analysis CoDa Compositional data Compositional tables Compositions Methods for high-dimensional compositional data Multivariate statistical methods R package rob Robust Statistics Statistical environment R Statistical methodology for compositional data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124573 |
Filzmoser, Peter
|
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Compositional Data Analysis : With Worked Examples in R / Peter Filzmoser, Karel Hron, Matthias Templ
| Applied Compositional Data Analysis : With Worked Examples in R / Peter Filzmoser, Karel Hron, Matthias Templ |
| Autore | Filzmoser, Peter |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xvii, 280 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hron, Karel
Templ, Matthias |
| Soggetto topico |
15A03 - Vector spaces, linear dependence, rank, lineability [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
| Soggetto non controllato |
Analyzing compositional data using R
Applications of compositional data analysis CoDa Compositional data Compositional tables Compositions Methods for high-dimensional compositional data Multivariate statistical methods R package rob Robust Statistics Statistical environment R Statistical methodology for compositional data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124573 |
|
Filzmoser, Peter
|
||
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Compositional Data Analysis : With Worked Examples in R / Peter Filzmoser, Karel Hron, Matthias Templ
| Applied Compositional Data Analysis : With Worked Examples in R / Peter Filzmoser, Karel Hron, Matthias Templ |
| Autore | Filzmoser, Peter |
| Edizione | [Cham : Springer, 2018] |
| Pubbl/distr/stampa | xvii, 280 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Templ, Matthias
Hron, Karel |
| Soggetto topico |
15A03 - Vector spaces, linear dependence, rank, lineability [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124573 |
|
Filzmoser, Peter
|
||
| xvii, 280 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Capture-Recapture: Parameter Estimation for Open Animal Populations / George A. F. Seber, Matthew R. Schofield
| Capture-Recapture: Parameter Estimation for Open Animal Populations / George A. F. Seber, Matthew R. Schofield |
| Autore | Seber, George Arthur F. |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xix, 663 p. : ill. ; 24 cm |
| Altri autori (Persone) | Schofield, Matthew R. |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Soggetto non controllato |
Acoustic tags
Animal migration Bayesian models Capture-mark-recapture Cormack-Jolly –Seber models GPS Genetic markers Monte Carlo Recapture Methods Ring recovery data State-space models Survival estimation Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126757 |
|
Seber, George Arthur F.
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
62P12 - Applications of statistics to environmental and related topics [MSC 2020]
(66)
- 62-XX - Statistics [MSC 2020] (40)
- 62P25 - Applications of statistics to social sciences [MSC 2020] (10)
- 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] (9)
- 62P20 - Applications of statistics to economics [MSC 2020] (9)