Function estimates : proceedings of a conference held July 28-August 3, 1985
Author(s)
Bibliographic Information
Function estimates : proceedings of a conference held July 28-August 3, 1985
（Contemporary mathematics, v. 59）
American Mathematical Society, c1986
- : pbk
Available at 48 libraries
-
Library & Science Information Center, Osaka Prefecture University
: pbk. : alk. paper410.820400034875
Note
"The Conference on Function Estimates was held at Humboldt State University, Arcata, California ... sponsored by the American Mathematical Society, the Institute of Mathematical Statistics, and the Society for Industrial and Applied Mathematics"--T.p. verso
Includes bibliographies
Description and Table of Contents
Description
This volume collects together papers presented at the 1985 Conference in Function Estimation held at Humboldt State University. The papers focus especially on various types of spline estimations and convolution problems. The use of estimation and approximation methods as applied to geophysics, numerical analysis, and nonparametric statistics was a special feature of this conference.
Table of Contents
Logspline density estimation by C. J. Stone Statistical encounters with $B$-splines by W. Dahmen and C. A. Micchelli Estimation of a transfer function in a nongaussian context by K. S. Lii and M. Rosenblatt Evaluating the performance of an inversion algorithm by F. O'Sullivan Harmonic splines in geomagnetism by R. L. Parker Problems in estimating the anomalous gravity potential of the earth from discrete data by K. P. Schwarz What regression model should be chosen when the statistician misspecifies the error distribution by W. Hardle Approximation theory of method of regularization estimators: applications by D. D. Cox Partial spline modelling of the tropopause and other discontinuities by G. Wahba Choice of a smoothing parameter in deconvolution problems by J. A. Rice Regression approximation using projections and isotropic kernels by D. L. Donoho and I. M. Johnstone Will the art of smoothing ever become a science? by J. S. Marron.
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