Necessary and sufficient conditions for convergence with probability 1 of kernel estimates of a probability density and its derivatives

The necessary and sufficient conditions are provided for convergence almost surely of kernel estimates of the probability density. For a specific range of estimates a repeated logarithm is obtained which leads to an accurate characteristic of the asymptotic rate of convergence almost surely. The findings are extended to estimates of probability density derivatives.