1
On the central limit theorem and law of the iterated logarithm for stationary processes with applications to linear processes, Stochastic Process. Appl. 59 (1995), 343-351.

2
An iterated logarithm theorems for some stationary linear processes, Yokohama Math. J. 40 (1993), 143-148.

3
CLT and LIL for stationary linear processes generated by martingales, Yokohama Math. J. 38 (1991), 129-136.

4
On the central limit theorem and law of iterated logarithm for stationary linear processes, Proceedings of the Fourth Prague Symposium on Asymptotic Statistics 1989, 535-538.

5
Some results on the strong laws of large numbers under moment restrictions, Mem. OKU. 36 (1987), 1-8.

6
A note on the law of the iterated logarithm for martingales, Yokohama Math. J. 33 (1985), 169-180.

7
An iterated logarithm result for partial sums of a stationary linear processes, Yokohama Math. J. 31 (1983), 139-148.

8
The corvergence of moments in the central limit theorem for weakly dependent random variables, Tsukuba Math. J. 7 (1983), 147-156.

9
The convergence of moments in the central limit theorem for stationary Φ -mixing processes, Analysis Mathematica 9 (1983) 79-84.

10
A note on weak convergence of empirical processes for Φ-mixing random variables, Yokohama Math. J. 28 (1980), 37-40.

11
Moment bounds for stationary mixing sequences, Z. Wahrscheinlichkeitstheorie verw. Gebiete 52 (1980), 45-57.

12
Convergence of moments in the central limit theorem for stationary Φ -mixing sequences, Tsukuba Math. J. 3 (1979), 1-6.

13
On the Bahadur representation of sample quantiles for mixing processes, Tsukuba Math. J. 1 (1978), 75-90.

14
Tail probability inequalities for Kolmogorov-Smirnov statistics for stationary strong mixing processes, Sci.Rep. Tokyo Kyoiku Daigaku Sect.A 13(1977), 98-104.

15
Note on the law of the iterated logarithm for multi-dimensional stationary processes satisfying mixing conditions, Yokohama Math. J. 25 (1977), 5-7.

16
The law of the iterated logarithm for empirical distributions for m-dependent random variables, Yokohama Math. J. 24 (1976), 79-91.

17
Weak convergence of empirical processes for strong mixing sequences of random variables, Sci.Rep. Tokyo Kyoiku Daigaku Sect.A 12 (1973), 36-39.