Results 241 to 250 of about 1,548,203 (287)

Estimating $��$-mixing coefficients

2011
The literature on statistical learning for time series assumes the asymptotic independence or ``mixing' of the data-generating process. These mixing assumptions are never tested, nor are there methods for estimating mixing rates from data. We give an estimator for the $ $-mixing rate based on a single stationary sample path and show it is $L_1$-risk ...
McDonald, Daniel J., Shalizi, Cosma Rohilla, Schervish, Mark   +2 more
openaire   +1 more source

Linear Estimates with Polynomial Coefficients

Biometrika, 1966
A common statistical problem is that of estimating the parameters It and C in a population having distribution function of the form F[(x -u l)/o-] from a complete or censored random sample taken from the population. More generally an estimate of a linear combination kl It + k2 omay be required, for example, for an estimate of a percentile of the ...
openaire   +3 more sources

Estimating the Polyserial Correlation Coefficient

Psychometrika, 1996
We develop simple noniterative estimators of the polyserial correlation coefficient. A general relationship between the polyserial correlation and the point polyserial correlation is exploited to give extensions of Pearson's, Brogden's, and Lord's biserial estimators to the multicategory setting.
Bedrick, Edward J., Breslin, Frederick C.   +1 more
openaire   +1 more source

Estimating the Coefficients

1999
In most practical applications of soil venting directly measured model parameters are not available. However, in many cases, qualitative descriptions, such as soil protocols from boreholes, and soil survey data may be available. The following pedotransfer model and strategy to estimate model parameters from qualitative descriptions has been used and is
Horst H. Gerke, Youcef Kelanemer, Ulrich Hornung, Marián Slodička, Stephan Schumacher   +4 more
openaire   +1 more source

Estimating Wavelet Coefficients

1995
We consider fast algorithms of wavelet decomposition of functionf when discrete observations of \( f(\operatorname{supp} f \subseteq [0,1]) \) are available. The properties of the algorithms are studied for three types of observation design: the regular design, when the observationsf(x i) are taken on the regular grid \( {{\chi }_{i}} = i/N,i = 1 ...
Bernard Delyon, Anatoli Juditsky
openaire   +1 more source

Estimating transverse mixing coefficients

Proceedings of the Institution of Civil Engineers - Water and Maritime Engineering, 2001
The inaccuracy, and prohibitive field costs, involved in the evaluation of mixing coefficients severely limit the predictive capabilities of water quality models. This paper examines the traditional method of evaluating transverse mixing coefficients from field measurements and suggests a new simplified method of evaluation with significantly reduced ...
J. B. Boxall, I. Guymer
openaire   +1 more source

ADMISSIBLE ESTIMATORS OF DISCRIMINANT COEFFICIENTS

Statistics & Risk Modeling, 1991
Summary: On the basis of a multivariate normal observation with an unknown mean \(\xi\) and a covariance matrix of the form \(\sigma^ 21\), the estimation problem of the vector \(\sigma^{-2}\xi\) is considered. For a quadratic loss a necessary and sufficient condition for the admissibility of a natural estimator is obtained.
openaire   +2 more sources

Estimating joint roughness coefficients

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1979
Eight parameters that have used used to characterize numerically the roughness of surfaces have been measured on the ten profiles presented by Barton and Choubey [1] as typifying different joint roughness coefficients. Values of two of these parameters, Z2 and SF, respectively, the root mean square and the mean square of the first derivative of the ...
R. Tse, D.M. Cruden
openaire   +1 more source

Estimations for Nonsymmetric Effective Coefficients

SIAM Journal on Applied Mathematics, 1994
Summary: During the past several years, several papers have been devoted to the study of composite periodic materials. In a simpler manner, the thermic conductivity of a composite material is considered here. If the periodicity directions do not coincide with the coordinate axes, the elastic matrix of components is not symmetric.
openaire   +2 more sources

Road Adhesion Coefficient Estimation

Applied Mechanics and Materials, 2011
Taking four in-wheel-motor electric vehicle as research subject, the paper focuses on the estimation of road adhesion coefficient based on curve. Through adding a forget factor, an improved algorithm on the basis of Forget Kalman Filter is proposed to estimate the slope of the curve at low slip rate.
Yan An Sun, Lu Xiong, Zhuo Ping Yu, Yuan Feng, Long Jie Ren   +4 more
openaire   +1 more source