Maximum Penalized Likelihood Estimation by Eggermont P P B (26 results)

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Hardcover. Condition: Very Good. Clean Inside, 510 Pages With The Index. Clean Inside Text Has No Remarks Or Highlights Inside. Hardcover.We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.…

hardcover. Condition: Gut. 530 Seiten; 9780387952680.3 Gewicht in Gramm: 1.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Maximum Penalized Likelihood Estimation | Volume I: Density Estimation | P. P. B. Eggermont (u. a.) | Taschenbuch | xviii | Englisch | 2010 | Springer | EAN 9781441929280 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: New. In English.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended for graduate students in statistics and industrial mathematics, as well as researchers and practitioners in the field. We cover both theory and practice of nonparametric estimation. The text is novel in its use of maximum penalized likelihood estimation, and the theory of convex minimization problems (fully developed in the text) to obtain convergence rates. We also use (and develop from an elementary view point) discrete parameter submartingales and exponential inequalities. A substantial effort has been made to discuss computational details, and to include simulation studies and analyses of some classical data sets using fully automatic (data driven) procedures. Some theoretical topics that appear in textbook form for the first time are definitive treatments of I.J. Good's roughness penalization, monotone and unimodal density estimation, asymptotic optimality of generalized cross validation for spline smoothing and analogous methods for ill-posed least squares problems, and convergence proofs of EM algorithms for random sampling problems.…

Condition: New. In English.

Condition: New. pp. 532.

Condition: New. pp. 532.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: gut. 2001. Maximum Penalized Likelihood Estimation: Volume I: Density Estimation (Springer Series in Statistics, Band 1) In englischer Sprache. pages.

N.A. Condition: New. ISBN:9780387952680.

Condition: new. Questo è un articolo print on demand.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reference Book intended for grad students and researchers in statistics, industrial and Engineering mathematics, and operations researchConvexity and convex optimization receive special attentionThis book deals with parametric and nonparametric dens.…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reference Book intended for grad students and researchers in statistics, industrial and Engineering mathematics, and operations researchConvexity and convex optimization receive special attentionThis book deals with parametric and nonparametric dens.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is intended for graduate students in statistics and industrial mathematics, as well as researchers and practitioners in the field. We cover both theory and practice of nonparametric estimation. The text is novel in its use of maximum penalized likelihood estimation, and the theory of convex minimization problems (fully developed in the text) to obtain convergence rates. We also use (and develop from an elementary view point) discrete parameter submartingales and exponential inequalities. A substantial effort has been made to discuss computational details, and to include simulation studies and analyses of some classical data sets using fully automatic (data driven) procedures. Some theoretical topics that appear in textbook form for the first time are definitive treatments of I.J. Good's roughness penalization, monotone and unimodal density estimation, asymptotic optimality of generalized cross validation for spline smoothing and analogous methods for ill-posed least squares problems, and convergence proofs of EM algorithms for random sampling problems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 532 pp. Englisch. …

Condition: New. Print on Demand pp. 532 30 Illus.

Condition: New. Print on Demand pp. 532 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 532.

Condition: New. PRINT ON DEMAND pp. 532.