| Reference: | REFREENCES
[1] Bradely, R.C. (1985). On the central limit question under absolute reguality. Ann. Probab. 13, 1314-1324.
[2] Billingsley, P. (1968). Convergence of Probability Measure. Wiley,New York.
[3] Deo, C.M. (1973). A note on empirical processes of strong-mixing sequences. Ann. Probab. 1, 870-875.
[4] Mason, D.M. (981). Bounds for weighted empirical distribution functions.Ann. Probab. 9, 881-884.
[5] Pham, T.D. and Tran, Tran, L.T. (1982). On functions of order statistics in the non-LLd. case. Sankhya, A, 44, 225-26l.
[6] Pham, T.D. and Tran, L.T. (1985). Some strong mixing properties of time series models. Stochastic Processes and their applications. 19,297-303.
[7] Puri, M.L. and Tran, L. T. (980). Empirical distributions functions and functions of order statistics for mixing random variables . J.Multi. analy. 10, 405-425.
[8] Serfling, R.J. (1980). Approximation Theorems of Mathematics
Statistics. Wiley, New York.
[9] Shorack, G. (1989). Randomly trimmed L-statistics. JSPI. 21, 293 - 304.
[10] Shorack, G. and Wellner (1986). EmpiricaL Processes with applications
to Statistics. Wiley, New York.
[11] Wu, Berlin. (1988). On order statistics in time series analysis. Ph.D
Thesis, Indiana University, U. S.A.
[12] Yoshihara, K. (1978). Probability inequalities for sums of absolutely regular processes and their applications. Z. Wahrsch Verw. Geb. 43,319-330.
[13] Zuijlen, M.C.A. Van. (1976). Some properties of empirical distribution functions in the non-i.i.d. case. Ann. Statist. 5, 406 - 408.
[l4] Zuijlen, M.C.A. Van. (1978). Properties of the empirical distribution function for independent . nonidentically distributed random variables.Ann. Probab. 6, 250-266. |
