Randall L. Eubank – författare
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14 produkter
Kalman Filter Primer
Häftad, 2019
1040 kr
Lägg i varukorg
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. …
Nonparametric Regression and Spline Smoothing
Häftad, 2020
793 kr
Lägg i varukorg
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 …
Kalman Filter Primer
Inbunden, 2005
1229 kr
Lägg i varukorg
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. …
Nonparametric Regression and Spline Smoothing
Inbunden, 1999
2510 kr
Lägg i varukorg
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 …
Statistical Computing in C++ and R
Av Randall L. Eubank, Ana Kupresanin
Häftad, 2023
786 kr
Lägg i varukorg
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 …
Nonparametric Regression and Spline Smoothing
E-bok, 1999
935 kr
Lägg i varukorg
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 …
Statistical Computing in C++ and R
Av Ana Kupresanin, Randall L. Eubank
E-bok, 2011
797 kr
Lägg i varukorg
Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and …
Kalman Filter Primer
E-bok, 2005
1230 kr
Lägg i varukorg
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. …
Parallel Simulation Experiments on a Personal Computer
Av Chester Ismay, Randall L. Eubank
Häftad, 2027
825 kr
Kommande
Parallel simulation is usually presented as a supercomputing topic, wrapped in clusters, schedulers, and specialized languages. Parallel Simulation Experiments on a Personal Computer argues the opposite: the multicore laptop or desktop you already own is enough to run serious simulation …
Parallel Simulation Experiments on a Personal Computer
Av Chester Ismay, Randall L. Eubank
Inbunden, 2027
2101 kr
Kommande
Parallel simulation is usually presented as a supercomputing topic, wrapped in clusters, schedulers, and specialized languages. Parallel Simulation Experiments on a Personal Computer argues the opposite: the multicore laptop or desktop you already own is enough to run serious simulation …
Kalman Filter Primer
E-bok, 2005
1194 kr
Lägg i varukorg
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. …
Statistical Computing in C++ and R
Av Randall L. Eubank, Ana Kupresanin
Inbunden, 2011
1880 kr
Lägg i varukorg
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 …
Statistical Computing in C++ and R
Av Ana Kupresanin, Randall L. Eubank
E-bok, 2011
797 kr
Lägg i varukorg
Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and …
Nonparametric Regression and Spline Smoothing
E-bok, 1999
935 kr
Lägg i varukorg
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 …
