Cui erjia (14 risultati)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Crainiceanu, Ciprian M.; Goldsmith, Jeff; Leroux, Andrew; Cui, Erjia
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, Erjia Cui
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Da: Chiron Media, Wallingford, , Regno UnitoChiron Media
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EUR 106,59
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Hardcover. Condizione: New.
Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Crainiceanu, Ciprian M.; Goldsmith, Jeff; Leroux, Andrew; Cui, Erjia
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Crainiceanu, Ciprian M.; Goldsmith, Jeff; Leroux, Andrew; Cui, Erjia
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 123,53
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.
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- Prima edizione
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 147,86
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Hardback. Condizione: 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.
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Da: moluna, Greven, , Germaniamoluna
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EUR 116,65
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Condizione: 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.
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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EUR 167,73
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Hardcover. Condizione: Brand New. 336 pages. 9.19x6.13x1.02 inches. In Stock.
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- Prima edizione
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 139,15
EUR 75,35 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardback. Condizione: 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.
Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Crainiceanu, Ciprian M.; Goldsmith, Jeff; Leroux, Andrew; Cui, Erjia
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 121,87
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Condizione: New. PRINT ON DEMAND.
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- Print on Demand
Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 131,53
EUR 23,19 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Brand New. 336 pages. 9.19x6.13x1.02 inches. In Stock. This item is printed on demand.
