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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|