Results 261 to 270 of about 683,782 (308)
Some of the next articles are maybe not open access.
On two-stage parameter estimation in static system
IEEE Transactions on Systems, Man, and Cybernetics, 1983The general two-stage estimation idea is described. Maximum likelihood and maximum a posteriori probability methods for two-stage estimation are presented. The estimation algorithms for simple cases are given. The comparison of the direct and two-stage estimation is discussed.
exaly +3 more sources
Estimation in flexible two stage designs
Statistics in Medicine, 2006Adaptive test designs for clinical trials allow for a wide range of data driven design adaptations using all information gathered until an interim analysis. The basic principle is to use a test statistics which is invariant with respect to the design adaptations under the null hypothesis.
Werner, Brannath +2 more
openaire +2 more sources
On a Two-Stage Estimate of the Mean
Journal of the American Statistical Association, 1971Abstract A two-stage estimate for the mean vector of a multivariate distribution is proposed for the situation in which the prior knowledge about the mean vector can be expressed in the form of an initial estimate. The proposed estimate is compared with the sample mean based on a single sample of equivalent size.
Vasant B. Waikar, S. K. Katti
openaire +1 more source
On the robustness of two-stage estimators
Statistics & Probability Letters, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhelonkin, Mikhail +2 more
openaire +4 more sources
A Two‐Stage Stepwise Estimation Procedure
Biometrics, 2008Summary This article proposes a two‐stage simultaneous confidence procedure for the comparisons of k pairs of population means, without using multiplicity adjustment of more than two populations. The proposed procedure can be broadly applied to parametric or nonparametric models.
openaire +3 more sources
Optimal solution of the two-stage Kalman estimator
Proceedings of 1995 34th IEEE Conference on Decision and Control, 1999The two-stage Kalman estimator was originally proposed to reduce the computational complexity of the augmented state Kalman filter. It was also applied to the tracking of maneuvering targets by treating the target acceleration as a bias term. Except in certain restrictive conditions, the conventional two-stage estimators are suboptimal in the sense ...
Chien-Shu Hsieh, Fu-Chuang Chen
openaire +1 more source
A two-stage estimation method for depth estimation of facial landmarks
IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015), 2015To address the problem of 3D face modeling based on a set of landmarks on images, the traditional feature-based morphable model, using face class-specific information, makes direct use of these 2D points to infer a dense 3D face surface. However, the unknown depth of landmarks degrades accuracy considerably. A promising solution is to predict the depth
Xun Gong 0002 +3 more
openaire +1 more source
On Two–stage Estimate Based on Independent Estimate of Covariance Matrix
Acta Mathematica Sinica, English Series, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yin, Suju, Wang, Songgui
openaire +2 more sources
Australian & New Zealand Journal of Statistics, 2005
SummaryThis paper presents a two‐stage procedure for estimating the conditional support curve of a random variable X, given the information of a random vector X. Quantile estimation is followed by an extremal analysis on the residuals for problems which can be written as regression models.
openaire +1 more source
SummaryThis paper presents a two‐stage procedure for estimating the conditional support curve of a random variable X, given the information of a random vector X. Quantile estimation is followed by an extremal analysis on the residuals for problems which can be written as regression models.
openaire +1 more source