Results 191 to 200 of about 2,028,161 (229)

Estimating Two-Stage Network Technology Inefficiency

International Journal of Operations Research and Information Systems, 2012
The authors model the performance of DMUs (decision-making units) using the directional distance function within a two-stage framework. In the first stage of production, DMUs use inputs to produce an intermediate output. In stage 2, the intermediate output is used to produce final outputs.
Hirofumi Fukuyama, William L. Weber
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TWO‐STAGE SUPPORT ESTIMATION

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.
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Two Stage Estimation in Data Processing

2008 International Symposium on Intelligent Information Technology Application Workshops, 2008
The new method presented in this paper shows an effective way of solving an estimation problem, the estimated values are nearer to their theoretical ones than in an adjustment with the method of least squares. Considering the semi parametric adjustment models, firstly, the estimators of the parameters and the nonparametric are derived by using a kernel
Pan Xiong, Chen Gang, Chen Yu
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Generalized two-stage Kalman estimator

Proceedings of the 36th IEEE Conference on Decision and Control, 2002
This paper presents an optimal two-stage estimator for discrete-time stochastic systems subject to disturbances evolving in accordance with a dynamic state equation. The proposed two-stage estimator gives an optimum state estimate expressed as x/sub k/k//sup 1/=x/sub k/k//sup 1/+/spl beta//sub k/k/ x/sub k/k//sup 2/, where x/sub k/k//sup 1/ and x/sub k/
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The Nonlinear Two-Stage Least-Squares Estimator

Journal of Econometrics, 1974
In this paper we consider estimation of the parameters of a single equation of a simultaneous equations model which is nonlinear both in variables and paarmeters. Such a model has never been analyzed in the literature to the best of our knowledge. Models in which the nonlinearity appears only in variables or only in parameters have been previously ...
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TSGYE: Two-Stage Grape Yield Estimation

2020
Vision-based grape yield estimation provides a cost-effective solution for intelligent orchards. However, unstructured background, occlusion and dense berries make it challenging for grape yield estimation. We propose an efficient two-stage pipeline TSGYE: precise detection of grape clusters and efficient counting of grape berries.
Geng Deng, Tianyu Geng, Chengxin He, Xinao Wang, Bangjun He, Lei Duan   +5 more
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Optimal solution of the two-stage Kalman estimator

Proceedings of 1995 34th IEEE Conference on Decision and Control, 1999
The 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 ...
Hsieh, Chien-Shu, Chen, Fu-Chuang
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On two-stage james-stein sstimators

Communications in Statistics. Part C: Sequential Analysis, 1983
In the context of minimum risk (point) estimation of the mean vector of a multivariate normal distribution, based on the James-Stein and an allied rule, a two-stage procedure is considered, and the relative risk efficiency results are studied.
Ghosh, Malay, Sen, Pranab Kumar
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On Two–stage Estimate Based on Independent Estimate of Covariance Matrix

Acta Mathematica Sinica, English Series, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yin, Suju, Wang, Songgui
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Jackknifing the two stage least squares estimator

Communications in Statistics - Simulation and Computation, 1984
A link is established between jackknifing smooth functions of regression parameter estimators in the general linear model and jackknifing the two stage least squares estimator in the simulta- neous equation model. Hinkley's weighted jackknife is explored and is shown to have a smaller variance than the standard jack- knife estimator in the context of ...
G. D. A. Phillips, B. P. McCabe
openaire   +1 more source