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Maximum Penalized Likelihood Estimation: Volume II: Regression - Eggermont, Paul P, and Lariccia, Vincent N
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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.

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Maximum Penalized Likelihood Estimation: Volume II: Regression 2011, Springer, New York, NY

ISBN-13: 9781461417125

2009 edition

Trade paperback

Maximum Penalized Likelihood Estimation: Volume II: Regression 2009, Springer, New York, NY

ISBN-13: 9780387402673

2009 edition

Hardcover