محمود افشاری

We propose a method of estimation of the derivatives of probability density based on wavelets methods for a sequence of random variables with a common one-dimensional probability density function. We suppose that the process is uniformly strong mixing (? mixing) and we show that the rate of convergence essentially depends on the behavior of a special quadratic characteristic.