中文说明：概率
English Description：
Probabilistic Density Function or PDF, which stands for the probability density function of the uniform distribution family (Continous Uniform Distribution) is the statistical distribution of the integral display and the function is non-negative. This function describes the relative risk for random variable. The implementation of a series of random data that they intend to estimate the fulcrum (Bounded Support) and backrest (Unbounded Support) have. In this project the cumulative distribution function or CDF Cumulative Distribution Function is an abbreviation for the random data and scenarios Bound / Unbound Support which is used in the output below, it can be seen. Have commenting project to have the code. There is a main function called gkdeb.m gkdetest.m file with 6 different methods including the distribution of the backrest (Bounded Distribut