Published by Chapman and Hall/CRC (edition 1), 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
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Add to basketHardcover. Condition: New. ISBN:9781032941752,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Published by Chapman and Hall/CRC 2020-06-29, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Add to basketPaperback. Condition: Brand New. 256 pages. 9.21x6.14x0.54 inches. In Stock.
Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
Seller: Speedyhen, London, United Kingdom
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Published by Taylor & Francis Inc, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
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Add to basketCondition: New. The authors are international authorities and leaders on the presented topics. All are fellows of the Institute of Mathematical Statistics and the American Statistical Association. Jianqing Fan is Frederick L. Moore Professor, Princeton Uni.
Published by Taylor & Francis Inc, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
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Condition: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Published by T&F INDIA, 2025
ISBN 10: 1032941758 ISBN 13: 9781032941752
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Add to basketHardcover. Condition: Brand New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
ISBN 10: 1032941758 ISBN 13: 9781032941752
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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
ISBN 10: 1032941758 ISBN 13: 9781032941752
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Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
ISBN 10: 1032941758 ISBN 13: 9781032941752
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Chapman And Hall/CRC, 2020
ISBN 10: 1466510846 ISBN 13: 9781466510845
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. It is a valuable reference for researchers involved with model selection, variable selection, machine learning, and risk management.