Important Distribution Models

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In the following section we present some important probability distributions, which are often used in statistics. These distributions can be described using two parameters. In general, the greater the number of parameters describing a distribution the more flexible the distribution will be to model data. [The distribution of these parameters can be clearly determined only after numerical determinations. In this regard, we are referring to a family of distributions. Through these, we can also determine the model properties of these distributions. These assumptions that are related to random experiments and parameters need to be proven for application. ]