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Local Regression and Likelihood
Clive Loader
€ 205.22
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Description for Local Regression and Likelihood
paperback. Series: Statistics and Computing. Num Pages: 290 pages, biography. BIC Classification: KF; PBT; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 474.
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer United States
Number of pages
290
Condition
New
Series
Statistics and Computing
Number of Pages
290
Place of Publication
New York, NY, United States
ISBN
9781475772586
SKU
V9781475772586
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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