maximum likelihood parameter estimate
Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas
... the Maximum Likelihood estimator is presented in this paper to estimate the DOA (Direction of Arrival), initial velocity and acceleration of a maneuvering target in colocated MIMO ...a ...
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The Equivalence of the Maximum Likelihood and a Modified Least Squares for a Case of Generalized Linear Model
... unknown parameter θ, of dimension (q×1), parameter such as: = (θ) and D = ...effects estimate, by using the maximum likelihood or the restricted maximum likelihood for the ...
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On Maximum Likelihood Estimates for the Shape Parameter of the Generalized Pareto Distribution
... the parameter estimation ...by maximum likelihood because have a consistent estimator with lowest bias and ...the maximum likelihood estimator for the shape parameter or extreme ...
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International Journal of Data Envelopment Analysis and *Operations Research*
... to estimate CPD parameters are studied, Maximum Likelihood estimator, Moments estimator, Percentile estimator, least square estimator and weighted least square ...bandwidth parameter which is ...
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Using Maximum Likelihood to Estimate Population Size From Temporal Changes in Allele Frequencies
... using likelihood to estimate N is Bayesian approach and then estimate a posterior distri- that it is more computationally intensive than using F-sta- bution for ...to estimate popu- mance of ...
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Maximum-Likelihood Estimation of Relatedness
... Estimates of or r may be derived in a variety of sufficient for describing relatedness in a noninbred pop- ways. Traditionally, they are calculated from a known ulation (Thompson 1975). While the likelihood ...
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Parameter redundancy and the existence of maximum likelihood estimates in log linear models
... a parameter redun- dant model without any possible additional esoteric constraints (comparison case ...by parameter redundancy have the same interpretation as in the initial model, in terms of variable ...
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The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models
... the parameter space much more comprehen- sively than gradient-based algorithms, and can be expected to locate a point close to the global maximum more ...to estimate the generalized multinomial logit ...
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Parameter estimations and copula methods for burr type III and type XII distributions
... Shape parameter is used in lifetime data to characterize the shape of the ...scale parameter is needed since it is the bulk of the ...scale parameter stretches or squeezes the graph of ...using ...
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Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models
... to estimate constrained factor models, their asymptotic analysis focuses only on the PC ...underlying parameter values if hypothesis testing is the ...
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On Maximum Likelihood Estimation for the Three Parameter Gamma Distribution Based on Left Censored Samples
... the likelihood maximization, Hirose (1995) [20] and Tzavelas (2009) [11] found by different approaches that the log-likelihood has a local maximum reported in the second line of Table 5 (labelled ...
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Using interviewer random effects to remove selection bias from HIV prevalence estimates
... while maximum likelihood estimators are asymptotically unbiased and consistent, their small sample properties can be poor ...the maximum likeli- hood estimate in a related recursive bivariate ...
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Inference for the shape parameter of lognormal distribution in presence of fuzzy data
... shape parameter of lognormal distribution involving experiment whose observations are described in terms of fuzzy ...The maximum likelihood procedure are developed for estimating the unknown ...of ...
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Testing for equality of evolutionary rates.
... If the two parameter model (model I) is used on twofold degenerate sites, the estimate of transition rate is the maximum likelihood estimate of. the synonymous rate at tw[r] ...
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Combining Likelihood Information from Independent Investigations
... many likelihood-based asymptotic methods have been developed to produce highly accurate ...standardized maximum likelihood estimate departure calculated in the canonical parameter ...
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Maximum likelihood representation of MIPAS profiles
... “maximum likelihood” (ML) product. The underlying concept of a “maximum likely estimate” has been developed by Fisher and Lucka (1956) and refers to the most plausible solution of a well-posed ...
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Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution
... of maximum entropy (ME) is a tool for infer- ence under uncertainty ...least-biased estimate possible on the given information, maximally noncommittal with re- gard to missing ...
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Approximate Profile Maximum Likelihood
... Our approximate PML estimator performs comparably well to the competition (Valiant and Valiant, 2011a) (Valiant and Valiant, 2013) (Jiao et al., 2015), (Wu and Yang, 2016), (Wu and Yang, 2015) across different functions ...
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Maximum Likelihood with Auxiliary Information
... Analysis of survey data does not happen in a vacuum. We typically know more about the target population than just the data observed in the survey. In some cases this extra information can be incorporated via calibration ...
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PARAMETER ESTIMATION OF EXPONENTIAL HIDDEN MARKOV MODEL AND CONVERGENCE OF ITS PARAMETER ESTIMATOR SEQUENCE
... the parameter estimator, a maximum likelihood method is used. Numerical approximation is used through an Expectation Maximization (EM) algorithm. Under the continuous assumption, the sequence {φ (k) ...
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