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Advanced R statistical programming and data models : analysis, machine learning, and visualization / / by Matt Wiley, Joshua F. Wiley
Advanced R statistical programming and data models : analysis, machine learning, and visualization / / by Matt Wiley, Joshua F. Wiley
Autore Wiley Matt
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Descrizione fisica 1 online resource (XX, 638 p. 207 illus., 127 illus. in color.)
Disciplina 005.13
Soggetto topico R (Llenguatge de programació)
Estadística matemàtica
Programming languages (Electronic computers)
Computer programming
Mathematical statistics
R (Computer program language)
Programming Languages, Compilers, Interpreters
Programming Techniques
Probability and Statistics in Computer Science
ISBN 9781484228722
1-5231-5031-9
1-4842-2872-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Univariate Data Visualization -- 2 Multivariate Data Visualization -- 3 Generalized Linear Models 1 -- 4 Generalized Linear Models 2 -- 5 Generalized Additive Models -- 6 Machine Learning: Introduction -- 7 Machine Learning: Unsupervised -- 8 Machine Learning: Supervised -- 9 Missing Data -- 10 Generalized Linear Mixed Models: Introduction -- 11 Generalized Linear Mixed Models: Linear -- 12 Generalized Linear Mixed Models: Advanced -- 13 Modeling IIV -- Bibliography.
Record Nr. UNINA-9910338002703321
Wiley Matt  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (338 pages)
Disciplina 519.5
Collana ICSA Book Series in Statistics
Soggetto topico Biometry
Statistics
Artificial intelligence - Data processing
Machine learning
Biostatistics
Applied Statistics
Data Science
Machine Learning
Estadística matemàtica
Processament de dades
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-031-08329-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits.
Record Nr. UNISA-996495167803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances and Innovations in Statistics and Data Science / / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Advances and Innovations in Statistics and Data Science / / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (338 pages)
Disciplina 519.5
001.422
Collana ICSA Book Series in Statistics
Soggetto topico Biometry
Statistics
Artificial intelligence - Data processing
Machine learning
Biostatistics
Applied Statistics
Data Science
Machine Learning
Estadística matemàtica
Processament de dades
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-031-08329-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits.
Record Nr. UNINA-9910624380703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.)
Disciplina 519.5
Altri autori (Persone) Pawlowsky-GlahnVera
Soggetto topico Estadística matemàtica
Investigació quantitativa
Mathematical statistics
Quantitative research
Soggetto genere / forma Llibres electrònics
ISBN 3-030-71175-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neural networks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology.
Record Nr. UNISA-996466397003316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.)
Disciplina 519.5
Altri autori (Persone) Pawlowsky-GlahnVera
Soggetto topico Estadística matemàtica
Investigació quantitativa
Mathematical statistics
Quantitative research
Soggetto genere / forma Llibres electrònics
ISBN 3-030-71175-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neural networks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology.
Record Nr. UNINA-9910484712403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in data analysis and classification
Advances in data analysis and classification
Pubbl/distr/stampa Berlin, : Springer
Soggetto topico Mathematical statistics
Classification
Estadística matemàtica
Soggetto genere / forma Internet resource
Periodicals.
Revistes electròniques.
Soggetto non controllato Mathematical Statistics
ISSN 1862-5355
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti ADAC
Record Nr. UNINA-9910144885903321
Berlin, : Springer
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in data science / / Ilke Demir [and three others], editors
Advances in data science / / Ilke Demir [and three others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2021]
Descrizione fisica 1 online resource (374 pages)
Disciplina 515.63
Collana Association for Women in Mathematics
Soggetto topico Calculus of tensors - Data processing
Estadística matemàtica
Càlcul de tensors
Informàtica
Calculus of tensors
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-79891-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466413703316
Cham, Switzerland : , : Springer International Publishing, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in data science / / Ilke Demir [and three others], editors
Advances in data science / / Ilke Demir [and three others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2021]
Descrizione fisica 1 online resource (374 pages)
Disciplina 515.63
Collana Association for Women in Mathematics
Soggetto topico Calculus of tensors - Data processing
Estadística matemàtica
Càlcul de tensors
Informàtica
Calculus of tensors
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-79891-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910512174003321
Cham, Switzerland : , : Springer International Publishing, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in probability and mathematical statistics : CLAPEM 2019, Mérida, Mexico / / edited by Daniel Hernández‐Hernández [and three others]
Advances in probability and mathematical statistics : CLAPEM 2019, Mérida, Mexico / / edited by Daniel Hernández‐Hernández [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Birkhäuser, , [2021]
Descrizione fisica 1 online resource (178 pages)
Disciplina 519.5
Collana Progress in Probability
Soggetto topico Mathematical statistics
Probabilities
Estadística matemàtica
Probabilitats
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-85325-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910508450003321
Cham, Switzerland : , : Birkhäuser, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in probability and mathematical statistics : CLAPEM 2019, Mérida, Mexico / / edited by Daniel Hernández‐Hernández [and three others]
Advances in probability and mathematical statistics : CLAPEM 2019, Mérida, Mexico / / edited by Daniel Hernández‐Hernández [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Birkhäuser, , [2021]
Descrizione fisica 1 online resource (178 pages)
Disciplina 519.5
Collana Progress in Probability
Soggetto topico Mathematical statistics
Probabilities
Estadística matemàtica
Probabilitats
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-85325-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466568103316
Cham, Switzerland : , : Birkhäuser, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui