EUR 106,78
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
EUR 93,88
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
EUR 109,65
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 113,37
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Chapman and Hall/CRC 2024-03-11, 2024
ISBN 10: 1032244712 ISBN 13: 9781032244716
Librería: Chiron Media, Wallingford, Reino Unido
EUR 106,44
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 122,65
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 111,01
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 110,33
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032244712 ISBN 13: 9781032244716
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Original o primera edición
EUR 146,88
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: New. 1st. Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering. The idea is for the reader to be able to immediately reproduce the results in the book, implement these methods, and potentially design new methods and software that may be inspired by these approaches.Features:Functional regression models receive a modern treatment that allows extensions to many practical scenarios and development of state-of-the-art softwareThe connection between functional regression, penalized smoothing, and mixed effects models is used as the cornerstone for inferenceMultilevel, longitudinal, and structured functional data are discussed with emphasis on emerging functional data structuresMethods for clustering functional data before and after smoothing are discussedMultiple new functional data sets with dense and sparse sampling designs from various application areas are presented, including the NHANES linked accelerometry and mortality data, COVID-19 mortality data, CD4 counts data and the CONTENT child growth studyStep-by-step software implementations are included, along with a supplementary website featuring software, data, and tutorialsMore than 100 plots for visualization of functional data are presentedFunctional Data Analysis with R is primarily aimed at undergraduate, master's and PhD students, as well as data scientists and researchers working on functional data analysis. The book can be read at different levels and combines state-of-the-art software, methods, and inference. It can be used for self-learning, teaching, and research, and will particularly appeal to anyone who is interested in practical methods for hands-on, problem-forward functional data analysis. The reader should have some basic coding experience, but expertise in R is not required.
EUR 116,65
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. Ciprian M. Crainiceanu is Professor of Biostatistics at Johns Hopkins University working on wearable and implantable technology (WIT), signal processing, and clinical neuroimaging. He has extensive experience in mixed effects modeling, semiparamet.
EUR 165,27
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 336 pages. 9.19x6.13x1.02 inches. In Stock.
Idioma: Chino
Publicado por China Renmin University Press, 2000
ISBN 10: 7300079318 ISBN 13: 9787300079318
Librería: liu xing, Nanjing, JS, China
EUR 43,97
Cantidad disponible: 10 disponibles
Añadir al carritoSoft cover. Condición: New. Language:Chinese.Author:Fang Erjia.Binding:Soft Cover.Publisher:China Renmin University Press.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032244712 ISBN 13: 9781032244716
Librería: Rarewaves.com UK, London, Reino Unido
Original o primera edición
EUR 138,96
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: New. 1st. Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering. The idea is for the reader to be able to immediately reproduce the results in the book, implement these methods, and potentially design new methods and software that may be inspired by these approaches.Features:Functional regression models receive a modern treatment that allows extensions to many practical scenarios and development of state-of-the-art softwareThe connection between functional regression, penalized smoothing, and mixed effects models is used as the cornerstone for inferenceMultilevel, longitudinal, and structured functional data are discussed with emphasis on emerging functional data structuresMethods for clustering functional data before and after smoothing are discussedMultiple new functional data sets with dense and sparse sampling designs from various application areas are presented, including the NHANES linked accelerometry and mortality data, COVID-19 mortality data, CD4 counts data and the CONTENT child growth studyStep-by-step software implementations are included, along with a supplementary website featuring software, data, and tutorialsMore than 100 plots for visualization of functional data are presentedFunctional Data Analysis with R is primarily aimed at undergraduate, master's and PhD students, as well as data scientists and researchers working on functional data analysis. The book can be read at different levels and combines state-of-the-art software, methods, and inference. It can be used for self-learning, teaching, and research, and will particularly appeal to anyone who is interested in practical methods for hands-on, problem-forward functional data analysis. The reader should have some basic coding experience, but expertise in R is not required.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 125,35
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 131,36
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 336 pages. 9.19x6.13x1.02 inches. In Stock. This item is printed on demand.