maximum likelihood frequency estimator
Analysis of the maximum likelihood channel estimator for OFDM systems in the presence of unknown interference
... frequency-division multiplexing (OFDM) systems in the presence of unknown interference. The following theoretical results are presented. Firstly, the uniqueness of the ML solution for practical applications, i.e., ...
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Heart pacemaker wear life model based on frequent properties and life distribution
... The lifetime of heart pacemaker is important for pa- tient and researcher. To forecast the lifetime of heart pacemakers we must determine its distribution regu- larity. In this paper, a heart pacemaker wear life model is ...
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Asymptotic properties of maximum likelihood estimator for some discrete distributions generated by
... Based on datasets for various large-scale biomolecular systems several com- mon statistical facts have been discovered. From the mathematical point of view these are: skewness; regular variation at infinity; unimodality; ...
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1. A robust and efficient channel estimation scheme for ofdm systems in frequency selective fading channels
... orthogonal frequency division multiplexing (OFDM) is becoming a vital in wireless communication systems like 3G, 4G and even in 5G ...higherthroughput, maximum possible efficiency versus multipath fading ...
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MoL 2004 02: A Consistent and Efficient Estimator for the Data Oriented Parsing Model
... relative frequency estimation for DOP (and thus the DOP maximum-likelihood estimator) is of no practical use since it only assigns nonzero weights to the fragments that occur as full parse ...
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Bayesian and Non-Bayesian Estimation for Weibull Parameters Based on Generalized Type-II Progressive Hybrid Censoring Scheme
... estimation for the unknown parameters of Weibull distribution under the generalized Type-II PHCS and special cases are given. The asymptotic variance covariance matrix and the approximate confidence interval based on the ...
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Exact properties of the maximum likelihood estimator in exponential regression models: a differential geometry approach
... the maximum likelihood estimator ...the estimator be a known function of the data, but does require that the manifold on which the MLE is …xed ...the estimator is only implicitly de…ned ...
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On sequential estimation of a normal distribution having equal mean and variance
... The normal distribution with equal mean and variance arises in many applied ar- eas: collective theory of risk (Ammeter (1962)); contracts and supply assurance in the UK health care market (Fenn et al. (1994)); ...
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Estimation of P(X>Y) for the Positive Exponential Family of Distributions
... A positive exponential family of distributions is taken into consideration. Two measures of reli- ability are discussed. Uniformly minimum variance unbiased estimators (UMVUES) and maxi- mum likelihood estimators ...
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Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
... 1. Introduction. In the Bayesian approach, the whole inference is based on the posterior distribution, which is proportional to the likelihood times the prior (in case of dominated models). The task of designing a ...
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Discrete measurement, continuous time and event history modeling
... An alternative measure of estimator performance is bias. In the six model/sample size combinations, the mean estimate produced by the pseudo-continuous estimator is different from the true parameter (based ...
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The Poisson quasi maximum likelihood estimator: A solution to the “adding up” problem in gravity models
... model produces estimates in which, summing across all partners, actual and estimated total trade flows are identical. Other methods such as OLS do not have this desirable property. Indeed, Poisson is the only ...
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Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas
... This paper considers parameters estimation of maneuvering target in colo- cated MIMO radar by developing a maximum-likelihood estimator. The MUl- tiple SIgnal Classification (MUSIC) is applied in the ...
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Maximum likelihood estimators in linear regression models with Ornstein Uhlenbeck process
... method. Under general conditions, the existence and consistency of the quasi-maximum likelihood estimators as well as asymptotic normality are investigated in Section . The hypothesis testing is given in ...
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Efficiency of broadband internet adoption in European Union member states
... Spatial effects appear for objects located near to each other. Tobler’s law [11] says that “everything is related to everything else, but near things are more related than distant things”, so usually researchers expect ...
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PubMedCentral-PMC5291804.pdf
... empirical likelihood method for multivariate continuous ...proposed estimator is semiparametric in nature that the underlying distributions of the covariates are modeled nonparametrically using the ...
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Moving Target Estimation in Non-Homogeneous Clutter for MIMO Radar
... Fig.3 shows the MSE vs SNR of Maximum likelihood estimation for different transmit receive pairs. SNR threshold is the point at which there is a large change in slope of the MSE vs SNR graph. From the fig.3 ...
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Asymptotic Efficiency of the Maximum Likelihood Estimator for the Box Cox Transformation Model with Heteroscedastic Disturbances
... Asymptotic Efficiency of the Maximum Likelihood Estimator for the Box-Cox Transformation Model with Heteroscedastic Disturbances Kazumitsu Nawata Graduate School of Engineering, Universi[r] ...
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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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A Maximum Likelihood TOA Based Estimator For Localization in Heterogeneous Networks
... new Maximum Likelihood (ML) estimator is developed in order to estimate the position using hybrid TOAs with different ...proposed estimator shows better performances than typical Weighted ...
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