Local Regression and Likelihood

Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density estimation. Practical information is also included on how to implement these methods in the programs S-PLUS and LOCFIT. Read More

Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density estimation. Practical information is also included on how to implement these methods in the programs S-PLUS and LOCFIT. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $50.70 (Expires Dec 12, 2024) 60 Day Rental: $67.60 (Expires Jan 11, 2025) 90 Day Rental: $84.50 (Expires Feb 10, 2025) 120 Day Rental: $101.40 (Expires Mar 12, 2025) 180 Day Rental: $109.85 (Expires May 11, 2025) Buy eBook Lifetime Access: $169.00 Title: Local Regression and Likelihood by Clive Loader Publisher: Springer Nature Print ISBN: 9780387987750, 0387987754 eText ISBN: 9780387227320 Edition: 1999 1999 edition Format: PDF eBook	$50.70 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