maximum-likelihood parametric approach
The application of hazard function in the case study of the use of an IUD for woman
... and parametric Weibull hazard functions estimates, which are Maximum Likelihood and Least Square methods will be compared with Kaplan-Meier estimate in order to find the most suitable approach ...
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Noise and Signal Estimation in MRI: Two-Parametric Analysis of Rice-Distributed Data by Means of the Maximum Likelihood Approach
... the maximum likelihood equations the approaches and the apparatus of mathematical analysis developed in the present paper and in paper [17] are essentially ...the likelihood function at the points of ...
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Efficiency of Egyptian organic agriculture: A local maximum likelihood approach
... both parametric SFA and nonparametric DEA approaches present some shortcomings that may conduct to derive biased efficiency ...new approach introduced by Kumbhakar et ...
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Three-way interactions with latent variables : a maximum likelihood approach
... As is shown in section 2.4, FIML can be implemented easily without fitting a mis- specified model or violating the multivariate normality assumption of the indicators. The fact that FIML still requires that the exogenous ...
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Estimating time-to-onset of adverse drug reactions from spontaneous reporting databases
... mum likelihood estimation estimates only the distribu- tion function conditional on the time-to-event being less than the maximum observed truncation ...non-parametric maximum ...
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A semiparametric copula-based estimation of the regression function for right-censored data
... One approach assumes a para- metric model for the copula densities and the marginal ...using maximum likelihood (ML) or inference functions for margins method ((IFM)) in two steps [see [23] and ...of ...
15
Maximum likelihood parametric reconstruction of forest vertical structure from inclined laser quadrat sampling.
... this approach has been damp- ened by the very large sample sizes that appear to be needed for stable estimates ...Horn approach and the fam- ily of statistical techniques known as survival analysis has been ...
5
A Sources of Error Model for Acoustic/Infrasonic Yield Estimation for Above Ground Single Point Explosions
... simple parametric approaches is significantly ...two parametric equations, the ANSI equa- tion [1] and the BOOM equations [2], to develop expres- sions for maximum likelihood yield and ...
9
Semiparametric Maximum Likelihood Estimation in Parametric Regression with Missing Covariates
... the approach of Robins, Hsieh and Newey (1995) ...the parametric modeling approach of Ibrahim, Chen and Lipsitz (1999), the proposed method is more robust in that G is treated ...
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Stepwise iterative maximum likelihood clustering approach
... analytic approach to find maximum likelihood estimates as the parametric form of data is ...time, maximum likelihood is computed by a hill climbing algorithm or by the EM ...
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A semi parametric GARCH (1, 1) estimator under serially dependent innovations
... wrong likelihood functions and hence inconsistent ...estimation approach where you do not make any assumption about the ...use parametric approach but under quasi maximum ...
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Novel maximum likelihood approach for passive detection and localisation of multiple emitters
... There is no practical reason why the nearest neighbour data association approach cannot be used if the measure- ments from different sensors are correlated. However, it should be noted that the resulting ...
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Maximum Likelihood with Auxiliary Information
... how maximum likelihood methods can be modified to incorporate this ...The approach we take is based on the general approach to maximum likelihood estimation for complex surveys ...
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Maximum Likelihood Estimation by R
... In the previous lectures, we demonstrated the basic procedure of MLE, and studied some examples. In the studied examples, we are lucky that we can find the MLE by solving equations in closed form. But life is never easy. ...
5
Maximum likelihood approach to DoA estimation using lens antenna array
... Although the array structure of LNA can solve the phase ambiguity problem, large antenna arrays require an equiv- alent large number of RF chains. In order to tackle this problem, this paper makes full use of the ...
7
Endogeneity in semiparametric binary response models
... estimation approach, for this semiparametric model, is also shown to be easily adapted to the case where the model specification is not triangular and certain coherency conditions are required to be ...
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Maximum-Likelihood Estimation of Relatedness
... to a pair of quantities: the probability that two individu- Both Ritland (1996a) and Lynch and Ritland (1999) als share two alleles identical-by-descent and the proba- mention maximum-likelihood estimators ...
16
Approximate Profile Maximum Likelihood
... profile maximum likelihood (PML), a variant of maximum likelihood maximizing the probability of observing a sufficient statistic rather than the empirical ...our approach is competitive ...
55
Max-Factor individual risk models with application to credit portfolios
... one. Maximum likelihood estimation beats nonparametric estimation when the data are generated from model (2b), but it is the other way around when data are generated from model ...
28
Semi-Parametric Mixture Models Through Log-Concave Density Estimation
... The rest of the chapter is organized as follows. In Section 2.2 we discuss some iden- tifiability issues for model (2.1). Section 1.3 introduces our maximum likelihood estimator and a detailed EM type ...
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