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Maximum Penalized Likelihood Estimation
Eggermont, Paul P.; Lariccia, Vincent N.
€ 163.83
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Description for Maximum Penalized Likelihood Estimation
Paperback. Ideal for researchers and practitioners in statistics and industrial mathematics, this book covers the theory and practice of nonparametric estimation. It is novel in its use of maximum penalized likelihood estimation and convex minimization problem theory. Series: Springer Series in Statistics. Num Pages: 592 pages, biography. BIC Classification: PBC; TJF; UYQV. Category: (G) General (US: Trade). Dimension: 235 x 155 x 30. Weight in Grams: 896.
This is the second volume of a text on the theory and practice of maximum penalized likelihood estimation. It is intended for graduate students in s- tistics, operationsresearch, andappliedmathematics, aswellasresearchers and practitioners in the ?eld. The present volume was supposed to have a short chapter on nonparametric regression but was intended to deal mainly with inverse problems. However, the chapter on nonparametric regression kept growing to the point where it is now the only topic covered. Perhaps there will be a Volume III. It might even deal with inverse problems. But for now we are happy to have ?nished Volume ... Read more
This is the second volume of a text on the theory and practice of maximum penalized likelihood estimation. It is intended for graduate students in s- tistics, operationsresearch, andappliedmathematics, aswellasresearchers and practitioners in the ?eld. The present volume was supposed to have a short chapter on nonparametric regression but was intended to deal mainly with inverse problems. However, the chapter on nonparametric regression kept growing to the point where it is now the only topic covered. Perhaps there will be a Volume III. It might even deal with inverse problems. But for now we are happy to have ?nished Volume ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
592
Condition
New
Series
Springer Series in Statistics
Number of Pages
572
Place of Publication
New York, NY, United States
ISBN
9781461417125
SKU
V9781461417125
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Maximum Penalized Likelihood Estimation
From the reviews: “This book is meant for specialized readers or graduate students interested in the theory, computation and application of Nonparametric Regression to real data, and the new contributions of the authors. … For mathematically mature readers, the book would be a delight to read. … The authors have not only written a scholarly and very readable book ... Read more