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 | ||
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 |
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 | ||
|
Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | X, 209 p. : ill. ; 24 cm |
Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
62-XX - Statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Applications in computer science
Applications in geochemistry Applications in the life sciences Compositional data Constrained data Geochemical data Log-ratio approach Log-ratio transformation Multivariate statistics Statistical modeling of compositional data |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114539 |
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | X, 209 p. : ill. ; 24 cm |
Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
62-XX - Statistics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Pxx - Applications of statistics [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 |
Applications in computer science
Applications in geochemistry Applications in the life sciences Compositional data Constrained data Geochemical data Log-ratio approach Log-ratio transformation Multivariate statistics Statistical modeling of compositional data |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00114539 |
[Cham], : Springer, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / Andriëtte Bekker ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xii, 439 p. : ill. ; 24 cm |
Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
Soggetto non controllato |
Bayesian Inference
Bayesian Network Compositional data Data-driven science High dimensional modeling Matrix theory Mixture modeling Modeling and theory building Multivariate Analysis Regression |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0277653 |
Cham, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / Andriëtte Bekker ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xii, 439 p. : ill. ; 24 cm |
Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
Soggetto non controllato |
Bayesian Inference
Bayesian Network Compositional data Data-driven science High dimensional modeling Matrix theory Mixture modeling Modeling and theory building Multivariate Analysis Regression |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00277653 |
Cham, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|