Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2006
ISBN 10: 1584886331 ISBN 13: 9781584886334
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Da: HPB-Ruby, Dallas, TX, U.S.A.
hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 113,78
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 123,41
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Da: Majestic Books, Hounslow, Regno Unito
EUR 136,91
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024-03-11, 2024
ISBN 10: 1032244712 ISBN 13: 9781032244716
Da: Chiron Media, Wallingford, Regno Unito
EUR 129,15
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 157,01
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032244712 ISBN 13: 9781032244716
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Prima edizione
EUR 176,52
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Aggiungi al carrelloHardback. 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.
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
EUR 167,13
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Aggiungi al carrelloHardcover. Condizione: Brand New. 336 pages. 9.19x6.13x1.02 inches. In Stock.
EUR 138,15
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Aggiungi al carrelloCondizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 198,60
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 187,50
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Da: moluna, Greven, Germania
EUR 151,74
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Da: Chiron Media, Wallingford, Regno Unito
EUR 191,99
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 208,34
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032244712 ISBN 13: 9781032244716
Da: Rarewaves.com UK, London, Regno Unito
Prima edizione
EUR 166,57
Quantità: 1 disponibili
Aggiungi al carrelloHardback. 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 235,29
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 260,31
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Da: Revaluation Books, Exeter, Regno Unito
EUR 267,58
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 455 pages. 9.00x6.00x1.25 inches. In Stock.