Composite distribution(pareto - amputated exponential) and estimating its parameters.

In this research, the method of synthesis of Pareto distributions of the first type and amputated ace was used to obtain amore flexible distribution of single distributions in the representation of data of complex phenomena and then derived its characteristics (decentralized moments, central moments, variance, torsion coefficient, flattening coefficient, median and mode), and its parameters were estimated in four ways, namely (Maximum Likelihood, moments, fragmentary capabilities and Bayes estimator (Jeffrey method)), and the conclusion was made By using different hypothetical values for the parameters and four different sizes for the samples, namely (100,50,25), the experiment was repeated (1000) times, and using the MSE) criterion to compare the results of the estimate that the torque and bayes methods compete for preference. [ABSTRACT FROM AUTHOR]