Results 261 to 270 of about 6,915,535 (291)
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Coincidence of the Rao Test, Wald Test and GLRT for anomaly detection in hyperspectral imagery
Signal Processing, 2020Abstract Anomaly detection methods are designed to detect targets (small anomalies) without a priori information on the target spectral signature. In this letter, we deal with the problem of anomaly detection for hyperspectral images based on the Gaussian model assuming that the background obeys a real-valued Gaussian multivariate distribution with ...
Yutong Feng +2 more
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Adjustments of Rao’s Score Test for Distributional and Local Parametric Misspecifications
Journal of Econometric Methods, 2017Abstract Rao’s (1948) seminal paper introduced a fundamental principle of testing based on the score function and the score test has local optimal properties. When the assumed model is misspecified, it is well known that Rao’s score (RS) test loses its optimality. A model could be misspecified in a variety of ways.
Bera, Anil K. +4 more
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Burbea–Rao divergence based statistics for testing uniform association
Mathematics and Computers in Simulation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
María-Dolores Jiménez-Gamero +2 more
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Modified Rao test for adaptive subspace detection
IET International Radar Conference 2015, 2015The problem of detecting a subspace signal is studied in colored Gaussian noise with an unknown covariance matrix. In the subspace model, the target signal belongs to a known subspace, but with unknown coordinates. We first present a new derivation of the Rao test based on the subspace model, and then propose a modified Rao test (MRT) by introducing a ...
Jun Liu Jun Liu +2 more
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The arm detection based on Rao test method
2007 International Symposium on Intelligent Signal Processing and Communication Systems, 2007Firstly, aim at the different radar echo characteristic of anti-radar missile (ARM) and its aircraft, a correlative canceller is proposed to restrain the aircraft signal through estimating its Doppler frequency. Then based on the assumption of autoregressive (AR) process noise, a detection algorithm is derived to implement the ARM target detection ...
null Fang Qianxue +2 more
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Rao's score test with nonparametric density estimators
Journal of Statistical Planning and Inference, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
González-Rivera, Gloria, Ullah, Aman
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Neyman's C(α) test and Rao's efficient score test for composite hypotheses
Statistics & Probability Letters, 1991zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kocherlakota, S., Kocherlakota, K.
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Estimation and Tests for Departures from Rao‐Structured Covariance Matrices
Biometrical Journal, 1987AbstractFor linear models, a measure of departure of a variance‐covariance matrix from Rao‐structure (Rao, 1967) is proposed. Relevant estimation and testing problems are discussed. Illustrative examples are also presented.
Ghosh, Subir, Gokhale, D. V.
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Performance analysis of a modified Rao test for adaptive subspace detection
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016The problem of detecting a subspace signal is studied in colored Gaussian noise with an unknown covariance matrix. In the subspace model, the target signal belongs to a known subspace, but with unknown coordinates. We propose a modified Rao test (MRT) by introducing a tunable parameter.
Jun Liu 0004 +3 more
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Modified Rao test for distributed target detection in interference and noise
Signal Processing, 2020Abstract This paper studies the problem of adaptive detecting distributed targets embedded in structured interference and colored noise. The signal and interference are assumed to lie in two linearly independent subspaces with unknown coordinates. The relative parameter of the conventional Rao test contains only the signal coordinate, whereas it is ...
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