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Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2005
ISBN 10: 0471420999 ISBN 13: 9780471420996
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 182,58
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Añadir al carritoHardback. Condición: New. The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.
Idioma: Inglés
Publicado por John Wiley & Sons 2005-01-14, 2005
ISBN 10: 0471420999 ISBN 13: 9780471420996
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Añadir al carritoHardcover. Condición: New.
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoCondición: New. pp. xxiii + 305 Illus.
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Añadir al carritoCondición: New. pp. xxiii + 305 Index.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2005
ISBN 10: 0471420999 ISBN 13: 9780471420996
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Añadir al carritoCondición: New. Addresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Series: Wiley Series in Probability and Statistics. Num Pages: 344 pages, Illustrations. BIC Classification: PB; TJ. Category: (P) Professional & Vocational. Dimension: 240 x 163 x 21. Weight in Grams: 608. . 2005. 1st Edition. Hardcover. . . . .
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Añadir al carritoGebunden. Condición: New. PEIHUA QIU, PHD, is Associate Professor of Statistics at the University of Minnesota. He has published over twenty-five papers in refereed journals as well as two book chapters. He received his PhD in Statistics at the University of Wisconsin-Madison in 199.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 228,25
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 344 pages. 9.50x6.25x0.50 inches. In Stock.
Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2005
ISBN 10: 0471420999 ISBN 13: 9780471420996
Librería: Rarewaves.com UK, London, Reino Unido
EUR 172,65
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Añadir al carritoHardback. Condición: New. The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2005
ISBN 10: 0471420999 ISBN 13: 9780471420996
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 251,71
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Añadir al carritoCondición: New. Addresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Series: Wiley Series in Probability and Statistics. Num Pages: 344 pages, Illustrations. BIC Classification: PB; TJ. Category: (P) Professional & Vocational. Dimension: 240 x 163 x 21. Weight in Grams: 608. . 2005. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Añadir al carritoBuch. Condición: Neu. Neuware - The first text to bridge the gap between image processing and jump regression analysisRecent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them.Key topics include:Conventional smoothing proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 332,98
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Añadir al carritoHardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2005
ISBN 10: 0471420999 ISBN 13: 9780471420996
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición Impresión bajo demanda
EUR 167,67
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Añadir al carritoHardcover. Condición: new. Hardcover. The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation. Addresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 344 pages. 9.50x6.25x0.50 inches. In Stock. This item is printed on demand.
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 638.