New continuous distributions with alpha power transformation and its statistical properties

In recent years, methods of obtaining new distributions from existing statistical distributions are frequently encountered in the literature. Scientists have produced many methods in this field. New generalized distributions will be proposed by using the parameter addition method, which is one of the methods proposed in this thesis. Then, the maximum likelihood method will be studied to estimate some statistical properties and model parameters of these distributions such as moment, rank statistics, moment generating function.