Results 311 to 320 of about 3,885,632 (340)
Some of the next articles are maybe not open access.
, 1991 This Chapter 6 and the next Chapter 7 are devoted to the proof of Theorem 1.2. In this chapter we study the operator Ap, and prove a priori estimates for the operator Ap − λI (Theorem 6.3) which will play a fundamental role in the next chapter. In the proof we make good use of Agmon’s method (Proposition 6.4). This is a technique of treating a spectral
openaire +1 more source
An Improved Estimator of the Variance of the Regression Estimator
Biometrical Journal, 1999Summary: The problem of estimation of variance of the general linear regression estimator has been considered. It has been shown that the first order calibration approach is a special case of the class of estimators proposed by \textit{L.-Y. Deng} and \textit{C. F. J. Wu} [J. Am. Stat. Assoc. 82, 568-576 (1987; Zbl 0629.62016)].
Stephen Horn, Sarjinder Singh
openaire +3 more sources
Simple Baselines for Human Pose Estimation and Tracking
European Conference on Computer Vision, 2018There has been significant progress on pose estimation and increasing interests on pose tracking in recent years. At the same time, the overall algorithm and system complexity increases as well, making the algorithm analysis and comparison more difficult.
Bin Xiao, Haiping Wu, Yichen Wei
semanticscholar +1 more source
Estimating the Loss of Estimators of a Binomial Parameter
Biometrika, 1988A loss function is introduced, which combines the estimation error of a statistical procedure with a measure of its accuracy. The properties of this loss function are illustrated by the estimator of a binomial parameter. The choice of a conjugate prior distribution is discussed from this point of view.
openaire +3 more sources
Journal of Mathematical Biology, 1975
This paper is concerned with the estimation of parameters when mathematical models are fitted to data. Two new algorithms are presented. The first is fast (economical in computation time), requires no initial estimates, but is not so accurate. The second requires more computation time, and fairly accurate initial estimates, but achieves high accuracy ...
J. Swartz, H. Bremermann
openaire +3 more sources
This paper is concerned with the estimation of parameters when mathematical models are fitted to data. Two new algorithms are presented. The first is fast (economical in computation time), requires no initial estimates, but is not so accurate. The second requires more computation time, and fairly accurate initial estimates, but achieves high accuracy ...
J. Swartz, H. Bremermann
openaire +3 more sources
Theory of Probability & Its Applications, 1964
A study is made of certain properties of an approximation to the regression line on the basis of sampling data when the sample size increases unboundedly.
openaire +4 more sources
A study is made of certain properties of an approximation to the regression line on the basis of sampling data when the sample size increases unboundedly.
openaire +4 more sources
, 2011 Trend estimation deals with the characterization of the underlying, or long–run, evolution of a time series. Despite being a very pervasive theme in time series analysis since its inception, it still raises a lot of controversies. The difficulties, or better, the challenges, lie in the identification of the sources of the trend dynamics, and in the ...
openaire +2 more sources
2013
Estimation is the process of inferring the value of an unknown given quantity of interest from noisy, direct or indirect, observations of such a quantity. Due to its great practical relevance, estimation has a long history and an enormous variety of applications in all fields of engineering and science.
CHISCI, LUIGI, Farina, Alfonso
openaire +2 more sources
Estimation is the process of inferring the value of an unknown given quantity of interest from noisy, direct or indirect, observations of such a quantity. Due to its great practical relevance, estimation has a long history and an enormous variety of applications in all fields of engineering and science.
CHISCI, LUIGI, Farina, Alfonso
openaire +2 more sources