LOCAL REGRESSION AND LIKELIHOOD : BIBLIOTECA ALEIVE


LOCAL REGRESSION AND LIKELIHOOD

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.


Páginas :308
Peso : 1.20 mb.
Formato : PDF.
Edición : Primera.
Año de Publicación : 1999 .
ISBN : 978-0387987750
Editorial : Springer
Autor : Springer
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1 comentarios:

  1.   Anónimo

    27 de junio de 2010 a las 22:24

  2. Muchas gracias

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