Results 221 to 230 of about 34,540 (263)

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

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

Mixing Estimates for Estuaries

Journal of Physical Oceanography, 2019
AbstractThe well-known Knudsen relations and the total exchange flow (TEF) analysis framework provide quantifications of exchange flow across an open boundary to the adjacent ocean in terms of bulk values (Knudsen theory: inflow and outflow volume or salinity) or with resolution in salinity space (TEF: profiles of volume and salt flux in salinity ...
Hans Burchard, Xaver Lange, Knut Klingbeil, Parker MacCready   +3 more
openaire   +1 more source

Mixed estimation of old‐age mortality

Mathematical Population Studies, 1997
The estimation of the mortality of the “oldest old”; is subject to considerable random error, but important prior information exists that can be used to make the estimates more robust. Mixed estimation is a method of incorporating auxiliary information into the statistical estimation of linear models.
J M, Alho, J, Nyblom
openaire   +2 more sources

Super-Resolution With Sparse Mixing Estimators

IEEE Transactions on Image Processing, 2010
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calculated over blocks of coefficients in a frame providing a sparse signal representation. They minimize an l1 norm taking into account the signal regularity in each block. Adaptive
Stéphane, Mallat, Guoshen, Yu
openaire   +2 more sources

Estimation of mixed venous oxygen saturation

Catheterization and Cardiovascular Diagnosis, 1983
AbstractPulmonary artery oxygen saturation (PA) was measured directly and estimated from venal cavae samples in 175 adults without intracardiac shunts to ascertain which of four formulas (MV1, MV2, MV3, or MV4) best estimated mixed venous oxygen saturation.
W J, French, P, Chang, S, Forsythe, J M, Criley   +3 more
openaire   +2 more sources

Robustness of theil's mixed regression estimators

Canadian Journal of Statistics, 1977
AbstractAn efficient method for incorporating incomplete prior information in regression analysis was developed by Theil [1963]. In this paper we take up the estimator of coefficients given by this procedure and study its robustness to departures from normality of prior estimators of coefficients.
Swamy, P. A. V. B., Mehta, J. S.
openaire   +1 more source

Estimating the Treatment Mix

2017
The mix of drugs used for estimating the cost and outcomes for the budget-impact analysis will likely change over the analysis time horizon even without the introduction of the new drug. This could be because of changes in treatment patterns or increasing uptake of recently approved drugs or patent expiration of current drugs.
Thor-Henrik Brodtkorb, Josephine Mauskopf, Stephanie Earnshaw   +2 more
openaire   +1 more source

Estimation of Quality of Mixing

International Polymer Processing, 1993
Abstract The character of mixing was interpreted through the energy consumption. It was correlated with the quality of mixing which is described by two parameters: average degree of dispersion and coefficient of heterogeneity. Experiments were carried out for polyethylene-based compounds with various fillers and typical rubber compound ...
A. Y. Malkin, A. V. Baranov, M. E. Viculencova, L. N. Prokhorova, V. I. Sivetskii   +4 more
openaire   +1 more source

Estimating Parameters from Mixed Samples

Journal of the American Statistical Association, 1982
Abstract Assume that a sample is a mixture of two samples from two different populations with distributions Fθ1 and Fθ2 . Given the form of Fθ , estimators of θ1 and θ2 are introduced. It is shown that the estimators are consistent and their asymptotic joint distribution is derived.
Moshe Shaked, Lanh Tat Tran
openaire   +1 more source