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1. Statistical Computing in C++ and R

   By Randall L. Eubank, Ana Kupresanin

   Series: Chapman & Hall/CRC The R Series

   With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the...

   Published November 30th 2011 by Chapman and Hall/CRC
2. A Kalman Filter Primer

   By Randall L. Eubank

   Series: Statistics: A Series of Textbooks and Monographs

   System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise....

   Published November 28th 2005 by Chapman and Hall/CRC
3. Nonparametric Regression and Spline Smoothing, Second Edition

   By Randall L. Eubank

   Series: Statistics: A Series of Textbooks and Monographs

   Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation in partially linear...

   Published February 8th 1999 by CRC Press