[PDF] Top 20 Maximum likelihood estimation of population parameters.
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Maximum likelihood estimation of population parameters.
... Under the assumptions that sequences are infinitely long and that the scaled coalescent times can be estimated without error, FELSENSTEIN (1992) showed that the improvement [r] ... See full document
10
Maximum Likelihood Estimation of Feature Based Distributions
... Another way of describing this is in terms of ex- pressivity. For given feature system, feature-based SL 2 distributions are a proper subset of SL 2 dis- tributions since, as the the PDFA representations make clear, ... See full document
10
Updating of travel behavior parameters and estimation of vehicle trip-chain data based on plate scanning
... the maximum-likelihood technique for updating travel behavior models parameters and estimation of vehicle trip chain by using sensor-to-sensor travel time of each sensor path collected from ... See full document
27
A simple approach to maximum intractable likelihood estimation
... the likelihood function, even up to a normalising constant, is impossible or computationally ...the parameters of the ...Composite Likelihood methods (Cox and Reid, 2004), for approximating the ... See full document
24
On the Approximate Maximum Likelihood Estimation for Diffusion Processes
... Estimating parameters of diffusion processes faces several ...forward likelihood expressions (Prakasa Rao, 1999) available for continuously observed diffusion ...efficient maximum likelihood ... See full document
39
Approximate maximum likelihood estimation for population genetic inference
... many population genetic problems, parameter estimation is obstructed by an intractable likelihood ...approximate estimation methods have been developed, and with grow- ing computational power, ... See full document
22
On the Maximum Likelihood and Least Squares Estimation for the Inverse Weibull Parameters with Progressively First Failure Censoring
... = > (2) The IW distribution, also known as type 2 extreme value or the Frechet distribution (Johnson et al. [2]), has a long right tail compared to other known distributions. The hazard function of the IW distribution ... See full document
16
Estimation of the Parameters of the Reversed Generalized Logistic Distribution with Progressive Censoring Data
... The maximum likelihood estimators MLEs for the scale and shape parameters of the RGL distribution based on progressive Type II censoring are ...shape parameters are investigated ...scale ... See full document
21
A New Class of Generalized Burr III Distribution for Lifetime Data
... A new class of generalized Burr III distribution called the generalized gamma-Burr III distribution is proposed and studied. The idea is to combine two components in a serial system, so that the hazard function is either ... See full document
16
A comparison of MLE method and OLSE for the estimation of modified Weibull distribution parameters by using the simulation
... the Maximum Likelihood Estimation (MLE) and Ordinary Least Squares Estimator (OLSE) methods for estimation of the unknown parameters of the modified Weibull ... See full document
7
Estimation of the Generalized Power Weibull Distribution Parameters Using Progressive Censoring Schemes
... the maximum likelihood estimator (MLE) and Bayesian estimation for the shape parameters and of the generalized power Weibull (GPW) distribution based on complete censoring data, type-II ... See full document
11
Maximum likelihood estimation for directional conditionally autoregressive models
... From the results of the ML estimates of DCAR model, we observe that the ML estimates of δ and σ 2 are slightly negatively biased for all cases except when the true value of ρ is near negative boundary, ρ = − 0.95. ... See full document
33
Maximum likelihood estimation for multiscale Ornstein Uhlenbeck processes
... the parameters of an Ornstein-Uhlenbeck (OU) process that is the coarse-grained limit of a multiscale system of OU pro- cesses, given data from the multiscale ... See full document
28
Asymptotics of Maximum Composite Likelihood Estimation for Geostatistical Data
... restricted maximum com- posite likelihood, where β is treated as a nuisance parameter vector and the focus is on the covariance parameters ... See full document
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Estimation and tests for power-transformed and threshold GARCH models
... quasi-maximum likelihood estimators (QMLE) of the parameters under the condition that the error distribution has finite fourth ...deviations estimation (LADE) for PTTGARCH(p,q) model, and ... See full document
39
Maximum-Likelihood Estimation of Demographic Parameters Using the Frequency Spectrum of Unlinked Single-Nucleotide Polymorphisms
... Figure 6a provides a visual representation of the 95, becomes more distinct from what would be expected 99, and 99.9% confidence regions of the Hausa data under a constant size scenario. However, with increas- set ... See full document
14
Maximum Likelihood Estimation of Population Growth Rates Based on the Coalescent
... bility with regard to the data and a trial value of Q, The method proposed by Griffiths and Tavare ´ (1994) and then use the sampled genealogies to evaluate the for estimation of growth rate uses a different ... See full document
6
Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine
... Because the SNP method is based on the· principle of maximum likelihood and because the SNP density has a convenient representation, subsequent computations essential to a complete stati[r] ... See full document
33
Maximum-Likelihood Estimation of Relatedness
... A N understanding of the relatedness between individ- been developed for this purpose (Thompson 1975; uals plays an important role in many areas of popu- Queller and Goodnight 1989; Li et al. 1993; Ritland lation biology ... See full document
16
Maximum Likelihood Estimation of Recombination Rates From Population Data
... nonsubdivided population) true r, mean estimate of r, standard deviation of r, estimate is clearly violated by these data whether they are ana- of ⌰, and standard deviation of ... See full document
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