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OverviewLange is a Springer author of other successful books. This is the first book that emphasizes the applications of optimization to statistics. The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics. Full Product DetailsAuthor: Kenneth LangePublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of hardcover 1st ed. 2004 Dimensions: Width: 15.60cm , Height: 1.40cm , Length: 23.40cm Weight: 0.386kg ISBN: 9781441919106ISBN 10: 1441919104 Pages: 268 Publication Date: 29 November 2010 Audience: Professional and scholarly , Professional and scholarly , Professional & Vocational , Professional & Vocational Format: Paperback Publisher's Status: Out of Print Availability: In Print ![]() Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsElementary Optimization.- The Seven C's of Analysis.- Differentiation.- Karush-Kuhn-Tucker Theory.- Convexity.- The MM Algorithm.- The EM Algorithm.- Newton's Method.- Conjugate Gradient and Quasi-Newton.- Analysis of Convergence.- Convex Programming.ReviewsFrom the reviews: ...An excellent, imaginative, and authoritative text on the difficult topic of modeling the problems of multivariate outcomes with different scaling levels, different units of analysis, and different study designs simultaneously. Biometrics, March 2005 ...As a textbook, Optimization does provide a valuable introduction to an important branch of applicable mathematics. Technometrics, August 2005 ...I found Optimization to be an extremely engaging textbook...the text is ideal for graduate students or researchers beginning research on optimization problems in statistics. There is little doubt that someone who worked through the text as part of a reading course or specialized graduate seminar would benefit greatly from the author's perspective... Journal of the American Statistical Association, December 2005 This is a book on optimization theory that includes some of the background mathematics necessary to understand ! . provides a good overview of graduate-level topics in optimization, including some of the supporting mathematics and some applications. ! The book has some every nice exercise sets to illuminate and extend the material covered in the textbook, as well as an extensive bibliography. ! a valuable introduction to an important branch of applicable mathematics. (Marvin H.J. Gruber, Technometrics, Vol. 47 (3), August, 2005) Author InformationTab Content 6Author Website:Countries AvailableAll regions |