The Entropy of a Discrete Real Variable

Qualitative Assessment of Hydrometric Station Density Kermanshah Province Using the Discrete Entropy

Monitoring the quality parameters of the river is very important in the management of surface water resources. One of the effective methods in this field is entropy theory which has a very good capability in designing quality monitoring network. In this research, discrete entropy theory has been studied and monitored in order to qualitatively evaluate the temporal and spatial frequencies of the...

On the Discrete Cumulative Residual Entropy

Markovian Delay Prediction-Based Control of Networked Systems

A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...

Evaluation of monitoring network density using discrete entropy theory

The regional evaluation of monitoring stations for water resources can be of great importance due to its role in finding appropriate locations for stations, the maximum gathering of useful information and preventing the accumulation of unnecessary information and ultimately reducing the cost of data collection. Based on the theory of discrete entropy, this study analyzes the density of rain gag...

Beta - Binomial and Ordinal Joint Model with Random Effects for Analyzing Mixed Longitudinal Responses

The analysis of discrete mixed responses is an important statistical issue in various sciences. Ordinal and overdispersed binomial variables are discrete. Overdispersed binomial data are a sum of correlated Bernoulli experiments with equal success probabilities. In this paper, a joint model with random effects is proposed for analyzing mixed overdispersed binomial and ordinal longitudinal respo...