<p>The estimation process presented in this work is outperforming the compared published estimators.</p
Abstract. In this paper we propose an estimator of the entropy of a continuous random variable. The ...
<p>Hit ratio is used as the empirical power for the fifteen groups each for the eight models. Hit ra...
Maximum entropy estimation is a relatively new estimation technique in econometrics. We carry out se...
This article concerns entropy estimation using judgment post stratification sampling. Some nonparame...
<p>The comparison of objective weights using entropy method, standard deviation method, and CRITIC, ...
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced:...
<p>Comparison of two images in their Entropy a) Entropy = 7.63 b) Entropy = 7.10.</p
We compare an entropy estimator Hz recently discussed by Zhang (2012) with two estimators, H1 and H2...
Whilst both types of entropy follow similar trajectories through time, global entropy (black line) r...
The most widely used forms of model selection criteria, the Bayesian Information Criterion (BIC) an...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Parameter estimates obtained for the weighted mean mark being recorded in 2014 using the entropy bal...
In this paper, we present a review of Shannon and differential entropy rate estimation techniques. E...
This paper describes the method which allows an estimation of information entropy in the meaning of ...
Abstract. In this paper we propose an estimator of the entropy of a continuous random variable. The ...
Abstract. In this paper we propose an estimator of the entropy of a continuous random variable. The ...
<p>Hit ratio is used as the empirical power for the fifteen groups each for the eight models. Hit ra...
Maximum entropy estimation is a relatively new estimation technique in econometrics. We carry out se...
This article concerns entropy estimation using judgment post stratification sampling. Some nonparame...
<p>The comparison of objective weights using entropy method, standard deviation method, and CRITIC, ...
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced:...
<p>Comparison of two images in their Entropy a) Entropy = 7.63 b) Entropy = 7.10.</p
We compare an entropy estimator Hz recently discussed by Zhang (2012) with two estimators, H1 and H2...
Whilst both types of entropy follow similar trajectories through time, global entropy (black line) r...
The most widely used forms of model selection criteria, the Bayesian Information Criterion (BIC) an...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Parameter estimates obtained for the weighted mean mark being recorded in 2014 using the entropy bal...
In this paper, we present a review of Shannon and differential entropy rate estimation techniques. E...
This paper describes the method which allows an estimation of information entropy in the meaning of ...
Abstract. In this paper we propose an estimator of the entropy of a continuous random variable. The ...
Abstract. In this paper we propose an estimator of the entropy of a continuous random variable. The ...
<p>Hit ratio is used as the empirical power for the fifteen groups each for the eight models. Hit ra...
Maximum entropy estimation is a relatively new estimation technique in econometrics. We carry out se...
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