| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000nam a2200000Ii 4500 |
| 001 |
in00003939921 |
| 005 |
20180406152809.0 |
| 008 |
180406s1989 txu b s000 0 eng d |
| 035 |
|
|
|a (OCoLC)on1030771441
|
| 040 |
|
|
|a TXA
|b eng
|e rda
|c TXA
|
| 035 |
|
|
|a (OCoLC)1030771441
|
| 050 |
|
4 |
|a QA276.A12
|b T4 no.71
|
| 049 |
|
|
|a TXAM
|
| 100 |
1 |
|
|a Eubank, Randall L.,
|d 1952-
|e author.
|
| 245 |
1 |
0 |
|a Convergence rates for trigonometric and polynomial-trigonometric regression estimators /
|c R.L. Eubank and Paul Speckman.
|
| 264 |
|
1 |
|a College Station, Texas :
|b Department of Statistics, Texas A & M University,
|c [1989]
|
| 300 |
|
|
|a 9 leaves ;
|c 28 cm
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
| 338 |
|
|
|a volume
|b nc
|2 rdacarrier
|
| 490 |
1 |
|
|a Technical report ;
|v no. 71
|
| 500 |
|
|
|a Funding information taken from leaf 8.
|
| 504 |
|
|
|a Includes bibliographical references (leaf 9).
|
| 520 |
3 |
|
|a Upper bounds are derived for the rates of convergence for trigonometric series regression estimators of an unknown, smooth regression function. The resulting rates depend on the regression function satisfying certain periodic boundary conditions that may not hold in practice. To overcome such difficulties alternative estimators are proposed which are obtained by regression on trigonometric functions and low-order polynomials. These estimators are shown to always be capable of obtaining the optimal rates of convergence over a particular smoothness class of functions, irregardless of whether or not the regression function is periodic.
|
| 536 |
|
|
|a Supported by the National Science Foundation under grant no.
|c DMS-8902596
|
| 650 |
|
0 |
|a Fourier series.
|
| 650 |
|
0 |
|a Regression analysis.
|
| 650 |
|
0 |
|a Estimation theory.
|
| 650 |
|
0 |
|a Trigonometrical functions.
|
| 650 |
|
0 |
|a Polynomials.
|
| 650 |
|
0 |
|a Convergence.
|
| 650 |
|
0 |
|a Smoothing (Statistics)
|
| 650 |
|
0 |
|a Curve fitting.
|
| 650 |
|
0 |
|a Nonparametric statistics.
|
| 650 |
|
0 |
|a Mathematical statistics.
|
| 650 |
|
7 |
|a Statistics
|x Nonparametric inference
|x Estimation.
|2 msc
|
| 650 |
|
7 |
|a Statistics
|x Parametric inference
|x Asymptotic properties of estimators.
|2 msc
|
| 650 |
|
7 |
|a Statistics
|x Nonparametric inference
|x Nonparametric regression.
|2 msc
|
| 653 |
|
0 |
|a Trigonometric regression
|
| 653 |
|
0 |
|a Polynomial regression
|
| 700 |
1 |
|
|a Speckman, Paul L.
|q (Paul Lorenz),
|d 1946-
|e author.
|
| 710 |
2 |
|
|a Texas A & M University.
|b Department of Statistics,
|e issuing body.
|
| 710 |
2 |
|
|a National Science Foundation (U.S.),
|e sponsoring body.
|
| 830 |
|
0 |
|a Technical report (Texas A & M University. Department of Statistics) ;
|v no. 71.
|
| 948 |
|
|
|a cataloged
|b h
|c 2018/04/06
|d o
|e zdobbs
|f 3:27:48 pm
|
| 994 |
|
|
|a C0
|b TXA
|
| 999 |
f |
f |
|s cb2bf440-6ecc-3f6f-b4cb-6b25b33040f8
|i 32c6d890-f248-30de-86e2-2093053af64a
|t 0
|
| 952 |
f |
f |
|p noncirc
|a Texas A&M University
|b College Station
|c Cushing Memorial Library & Archives
|d Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)
|t 0
|e QA276.A12 T4 no.71
|h Library of Congress classification
|i unmediated -- volume
|
| 998 |
f |
f |
|a QA276.A12 T4 no.71
|t 0
|l Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)
|