Maximum Penalized Likelihood Estimation: Volume II: Regression

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. Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $38.70 (Expires Jun 21, 2024) 60 Day Rental: $51.60 (Expires Jul 21, 2024) 90 Day Rental: $64.50 (Expires Aug 20, 2024) 120 Day Rental: $77.40 (Expires Sep 19, 2024) 180 Day Rental: $83.85 (Expires Nov 18, 2024) Buy eBook Lifetime Access: $129.00 Title: Maximum Penalized Likelihood Estimation by Paul P. Eggermont; Vincent N. Lariccia Publisher: Springer Nature Print ISBN: 9780387402673, 0387402675 eText ISBN: 9780387689029 Edition: 2009 2009 edition Format: PDF eBook	$38.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ