Results 21 to 30 of about 199,140 (151)
Maximum‐likelihood estimation of the geometric niche preemption model
Ecosphere, 2021 The geometric series or niche preemption model is an elementary ecological model in biodiversity studies. The preemption parameter of this model is usually estimated by regression or iteratively by using May's equation.
Jan Graffelman
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High-Order Maximum Likelihood Methods for Direction of Arrival Estimation
IEEE Open Journal of Signal Processing, 2021 It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direction Of Arrival (DOA) estimation methods. Particularly, the high-order MUltiple SIgnal Classification (MUSIC) method, also known as $ 2q$-MUSIC method ...
Mohammadhossein Barat +2 more
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Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation [PDF]
Atmospheric Measurement Techniques, 2022 The European Space Agency (ESA) Earth Explorer Mission Aeolus was launched in August 2018, carrying the first Doppler wind lidar in space. Its primary payload, the Atmospheric LAser Doppler INstrument (ALADIN), is an ultraviolet (UV) high-spectral ...
F. Ehlers +6 more
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Estimation of servo-system parameters using maximum likelihood method
Vojnotehnički Glasnik, 1998 The problem of estimation of servo system parameters that cannot be measured is solved. Unknown parameters are estimated using system response measurements. A special discrete, recursive and iterative form of maximum likelihood method is presented.
Nenad Dodić
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Jackknifing Maximum Likelihood Estimates
The Annals of Statistics, 1978 This paper proves the apparently outstanding conjecture that the maximum likelihood estimate (m.l.e.) "behaves properly" when jackknifed. In particular, under the usual Cramer conditions (1) the jackknifed version of the consistent root of the m.l.
openaire +3 more sources
Accelerated maximum likelihood parameter estimation for stochastic biochemical systems
BMC Bioinformatics, 2012 Background A prerequisite for the mechanistic simulation of a biochemical system is detailed knowledge of its kinetic parameters. Despite recent experimental advances, the estimation of unknown parameter values from observed data is still a bottleneck ...
Daigle Bernie J +3 more
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Transmuted Generalized Gompertz distribution with application [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 This paper introduces the four parameter transmuted generalized Gompertz distribution which includes the transmuted Gompertz, transmuted generalized exponential, transmuted exponential, Gompertz, generalized exponential and exponential distributions as ...
Muhammad Shuaib Khan +2 more
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Indoor Ultra-Wide Band Network Adjustment using Maximum Likelihood Estimation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This study is the part of our ongoing research on using ultra-wide band (UWB) technology for navigation at the Ohio State University. Our tests have indicated that the UWB two-way time-of-flight ranges under indoor circumstances follow a Gaussian mixture
Z. Koppanyi, C. K. Toth
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Maximum likelihood estimation for Gaussian process with nonlinear drift
Nonlinear Analysis, 2018 We investigate the regression model Xt = θG(t) + Bt, where θ is an unknown parameter, G is a known nonrandom function, and B is a centered Gaussian process.
Yuliya Mishura +2 more
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Maximum Likelihood Estimation Based Nonnegative Matrix Factorization for Hyperspectral Unmixing
Remote Sensing, 2021 Hyperspectral unmixing (HU) is a research hotspot of hyperspectral remote sensing technology. As a classical HU method, the nonnegative matrix factorization (NMF) unmixing method can decompose an observed hyperspectral data matrix into the product of two
Qin Jiang +4 more
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