Two new methods of Kolmogorov strong law of large numbers were given in this paper to prove Kolmogorov inequality directly.

A strong law of large numbers for NA random sequences;

A strong law of large numbers for mth order countable nonhomogeneous Markov chains;

A note on the classic strong law of large numbers;

Some results of the strong law of large numbers under negative association are obtained by using a maximal inequality.

In this paper, the strong law of large numbers of -mixing r.

In this paper, we will construct a sort of nondecreasing singular function by the realization of Markov Chain on the space and by using of strong law of large numbers for nonhomogencous Markov chain.

In this paper,it is proved that a strong law of large numbers double array discrete variable1n 2ni=1iX (n) i.

In this paper, we study the convergences and the growth of bi-random Dirichlet series by the strong law of large numbers for independent and non-equally distributed random variables, and obtain some new result.

In this paper,we obtain some strong laws of large numbers for arbitrary stochastically dominated random variables by means of the convergence theorem for martingale difference sequence.

The theorems improve former results and establish that receive the difference between the week laws of large numbers and the strong laws of large numbers.

We establish the week laws and strong laws of large numbers by using the uniformly bounded conditions.

This Paper deals with problems of large number theorem in stochastic sense and obtains sufficient and necessary conditions,for weak law and strong law of large numbers in stochastic sense.