M.C. Jones

Kernel Smoothing

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smo...

Kernel Smoothing

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smo...

A Brief Survey of Bandwidth Selection for Density Estimation

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Multivariate Plug-in Bandwidth Selection

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Statistical Modelling Using Genstat

The complete guide to statistical modelling with GENSTAT Focusing on solving practical problems and using real datasets collected during research of v...

Helium Research in Support of Superconducting Power Transmission

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A Comparison of Related Density-based Minimum Divergence Estimators

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Progress in Data-based Bandwidth Selection for Kernel Density Estimation

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Before They Built the Bridge

An Anecdotal History

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Helium Research in Support of Superconducting Power Transmission

Annual Report (July 1975-September 1976

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