Abstract
In the present paper, we consider L 1 bounds for asymptotic normality for the sequence of r.v.’s X 1,X 2,… (not necessarily stationary) satisfying the ψ-mixing condition. The L 1 bounds have been obtained in terms of Lyapunov fractions which, in a particular case, under finiteness of the third moments of summands and the finiteness of ∑r≥1 r 2 ψ(r), are of order O(n −1/2), where the function ψ participates in the definition of the ψ-mixing condition.
Similar content being viewed by others
References
Bhattacharya, R.N., Ranga, R.R.: Normal Approximation and Asymptotic Expansions. Wiley, New York (1976)
Bradley, R.C.: A caution on mixing conditions for random fields. Stat. Probab. Lett. 8, 489–491 (1989)
Bradley, R.C.: Basic properties of strong mixing conditions. A survey and some open questions. Probab. Surv. 2, 107–144 (2005)
Bulinski, A.V.: Limit Theorems Under Weak Dependence Conditions. Moscow State University Press, Moscow (1989) (in Russian)
Cealera, C.: Contributions to the study of dependent random variables. Stud. Cerc. Mat. 44, 13–35 (1992) (in Romanian)
Erickson, R.V.: L 1 bounds for asymptotic normality of m-dependent sums using Stein’s technique. Ann. Probab. 2, 522–529 (1974)
Hall, P., Heyde, C.C.: Martingale Limit Theory and Its Applications. Academic Press, New York, London, Toronto, Sydney, San Francisco (1980)
Ho, S.-T., Chen, L.H.Y.: An L p bound for the remainder in a combinatorial central limit theorem. Ann. Probab. 6, 231–249 (1978)
Ibragimov, I.A., Linnik, Yu.V.: Independent and Stationary Sequences of Random Variables. Wolters-Noordhoff, Groningen (1971)
Lin, Z.Y., Lu, C.R.: Limit Theory for Mixing Dependent Random Variables. Kluwer Academic, Dordrecht, Beijing (1996)
Rio, E.: Sur le théorème de Berry–Esseen pour les suites faiblement dépendantes. Probab. Theory Relat. Fields 104, 255–282 (1996)
Stein, Ch.: A bound for the error in the normal approximation to the distribution of a sum of dependent random variables. In: Proc. Math. Statist. and Probab., vol. 2, pp. 583–602. University of California Press, Berkeley (1972)
Sunklodas, J.: Distance in the L 1 metric between the distribution of a sum of weakly dependent random variables and the normal distribution function. Lithuanian Math. J. 22, 177–189 (1982)
Sunklodas, J.: Estimation of the rate of convergence in the central limit theorem for weakly dependent random fields. Lithuanian Math. J. 26, 272–287 (1986)
Sunklodas, J.: Approximation of distributions of sums of weakly dependent random variables by the normal distribution. In: Prokhorov, Yu.V., Statulevičius, V. (eds.) Limit Theorems of Probability Theory, pp. 113–165. Springer, Berlin (2000)
Takahata, H.: On the rates in the central limit theorem for weakly dependent random fields. Z. Wahrscheinlichkeitstheorie Verw. Geb. 64, 445–456 (1983)
Tikhomirov, A.N.: On the rate of convergence in the central limit theorem for weakly dependent variables. Theory Probab. Appl. 25, 790–809 (1980)
Utev, S.A.: On a method of studying sums of weakly dependent random variables. Sib. Math. J. 4, 675–690 (1991)
Zuparov, T.M.: On the convergence in the central limit theorem for weakly dependent random variables. Theory Probab. Appl. 36, 635–643 (1991)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sunklodas, J. On L 1 Bounds for Asymptotic Normality of Some Weakly Dependent Random Variables. Acta Appl Math 102, 87–98 (2008). https://doi.org/10.1007/s10440-008-9211-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10440-008-9211-9