Central Limit Theorems

Central limit theorems have played a paramount role in probability theory starting—in the case of independent random variables—with the DeMoivreLaplace version and culminating with that of Lindeberg-Feller. The term “central” refers to the pervasive, although nonunique, role of the normal distribution as a limit of d.f.s of normalized sums of (classically independent) random variables. Central limit theorems also govern various classes of dependent random variables and the cases of martingales and interchangeable random variables will be considered.

[1]  J. Lindeberg Eine neue Herleitung des Exponentialgesetzes in der Wahrscheinlichkeitsrechnung , 1922 .

[2]  Willy Feller Über den zentralen Grenzwertsatz der Wahrscheinlichkeitsrechnung , 1936 .

[3]  W. Doeblin Sur deux problèmes de M. Kolmogoroff concernant les chaînes dénombrables , 1938 .

[4]  A. C. Berry The accuracy of the Gaussian approximation to the sum of independent variates , 1941 .

[5]  C. Esseen Fourier analysis of distribution functions. A mathematical study of the Laplace-Gaussian law , 1945 .

[6]  P. Erdös,et al.  On certain limit theorems of the theory of probability , 1946 .

[7]  F. J. Anscombe Large-sample theory of sequential estimation , 1949, Mathematical Proceedings of the Cambridge Philosophical Society.

[8]  Kai Lai Chung,et al.  A Course in Probability Theory , 1949 .

[9]  J. Doob Stochastic processes , 1953 .

[10]  P. Levy Théorie de l'addition des variables aléatoires , 1955 .

[11]  H. Chernoff,et al.  Central Limit Theorems for Interchangeable Processes , 1958, Canadian Journal of Mathematics.

[12]  I. Weiss Limiting Distributions in Some Occupancy Problems , 1958 .

[13]  B. Rosén On the asymptotic distribution of sums of independent identically distributed random variables , 1962 .

[14]  A. Rényi On the central limit theorem for the sum of a random number of independent random variables , 1963 .

[15]  D. L. Hanson,et al.  On the central limit theorem for the sum of a random number of independent random variables , 1963 .

[16]  M. Katz,et al.  Convergence rates for the central limit theorem. , 1966, Proceedings of the National Academy of Sciences of the United States of America.

[17]  V. M. Zolotarev,et al.  An Absolute Estimate of the Remainder Term in the Central Limit Theorem , 1966 .

[18]  Existence of Optimal Stopping Rules for Rewards Related to $S_n/n$ , 1968 .

[19]  D. Siegmund On the Asymptotic Normality of One-sided Stopping Rules , 1968 .

[20]  A. Dvoretzky,et al.  Asymptotic normality for sums of dependent random variables , 1972 .

[21]  P. V. Beek,et al.  An application of Fourier methods to the problem of sharpening the Berry-Esseen inequality , 1972 .

[22]  H. Ahrens CHUNG, K. L.: A course in probability theory. Harcourt & Brace, New York 1968. VIII, 331 S. , 1973 .

[23]  Henry Teicher,et al.  A Classical Limit Theorem Without Invariance or Reflection , 1973 .

[24]  D. McLeish Dependent Central Limit Theorems and Invariance Principles , 1974 .

[25]  P. Hall,et al.  Martingale Limit Theory and Its Application , 1980 .

[26]  K. Knopp Theory and Application of Infinite Series , 1990 .