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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  
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors
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
Opac: Controlla la disponibilità qui
Compositional data analysis : CoDaWork, l’Escala, Spain, june 2015 / Josep Antoni Martín-Fernández, Santiago Thió-Henestrosa editors
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
Opac: Controlla la disponibilità qui
Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / Andriëtte Bekker ... [et al.] editors
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
Opac: Controlla la disponibilità qui
Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / Andriëtte Bekker ... [et al.] editors
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
Opac: Controlla la disponibilità qui