Results 31 to 40 of about 863,157 (269)
The paper presents a summary of research activities concerning theoretical geodesy performed in Poland in the period of 2011-2014. It contains the results of research on new methods of the parameter estimation, a study on robustness properties of the M ...
Borkowski Andrzej, Kosek Wiesław
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WATER VAPOUR WEIGHTED MEAN TEMPERATURE MODEL FOR GPS-DERIVED INTEGRATED WATER VAPOUR IN PENINSULAR MALAYSIA [PDF]
This paper presents the development of TM model by using the radiosonde stations from Peninsular Malaysia. Two types of TM model were developed; site-specific and regional models.
T. A. Musa +4 more
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M-estimation of linear models with dependent errors
We study asymptotic properties of $M$-estimates of regression parameters in linear models in which errors are dependent. Weak and strong Bahadur representations of the $M$-estimates are derived and a central limit theorem is established.
Wu, Wei Biao
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Simple House Needs in Jember with Robust Small Area Estimation
SAE (Small Area Estimation) is often used by researchers, especially statisticians to estimate parameters of a subpopulation which has a small sample size.
Frida Murtinasari +2 more
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Bicluster Analysis of Heterogeneous Panel Data via M-Estimation
This paper investigates the latent block structure in the heterogeneous panel data model. It is assumed that the regression coefficients have group structures across individuals and structural breaks over time, where change points can cause changes to ...
Weijie Cui, Yong Li
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Risk bounds for new M-estimation problems [PDF]
International audienceIn this paper, we develop new algorithms for parameter estimation in the case of models type Input/Output in order to represent and to characterize a phenomenon Y.
Fort, Jean-Claude +2 more
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Geographically Weighted Regression (GWR) is an analytical method for data that contains spatial heterogeneity effects. However, parameter estimation in the GWR model has a weakness, namely it is prone to outliers and can cause the parameter estimation to
Prizka Rismawati Arum +3 more
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Scalable estimation of pure multi-qubit states
We introduce an inductive n-qubit pure-state estimation method based on projective measurements on m n + 1 separable bases or m entangled bases plus the computational basis, with m ≥ 2.
Luciano Pereira +2 more
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Vegetation height estimation plays a pivotal role in forest mapping, which significantly promotes the study of environment and climate. This paper develops a general forest structure model for vegetation height estimation using polarimetric ...
Cheng Xing +5 more
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Variational analysis of constrained M-estimators [PDF]
We propose a unified framework for establishing existence of nonparametric M-estimators, computing the corresponding estimates, and proving their strong consistency when the class of functions is exceptionally rich. In particular, the framework addresses situations where the class of functions is complex involving information and assumptions about ...
Royset, Johannes O., Wets, Roger J-B
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