Contributions to Central Limit Theory for Dependent Variables

[1]  P. H. Diananda.  The central limit theorem for m-dependent variables , 1955, Mathematical Proceedings of the Cambridge Philosophical Society.

[2]  D. A. S. Fraser,et al.  Non-Parametric Methods in Statistics. , 1958 .

[3]  Jean-Pierre Bourguignon,et al.  Mathematische Annalen , 1893 .

[4]  H. Cramér.  Mathematical methods of statistics , 1947 .

[5]  David R. Cox,et al.  The statistical analysis of series of events , 1966 .

[6]  S. Bernstein.  Sur l'extension du théoréme limite du calcul des probabilités aux sommes de quantités dépendantes , 1927 .

[7]  U. Grenander,et al.  Statistical Spectral Analysis of Time Series Arising from Stationary Stochastic Processes , 1953 .

[8]  I. Ibragimov,et al.  Some Limit Theorems for Stationary Processes , 1962 .

[9]  M. Loève.  Étude asymptotique des sommes de variables aléatoires liées , 1941 .

[10]  B. V. Bahr.  On the Convergence of Moments in the Central Limit Theorem , 1965 .

[11]  David R. Brillinger,et al.  A note on the rate of convergence of a mean , 1962 .

[12]  The central limit theorem for m -dependent variables asymptotically stationary to second order , 1954 .

[13]  H. Robbins,et al.  The Central Limit Theorem for Dependent Random Variables , 1948 .

[14]  Michel Loève,et al.  Probability Theory I , 1977 .

[15]  I. Ibragimov.  A Central Limit Theorem for a Class of Dependent Random Variables , 1963 .

[16]  M. S. Bartlett,et al.  Some probability limit theorems with statistical applications , 1953, Mathematical Proceedings of the Cambridge Philosophical Society.

[17]  J. Doob.  Stochastic processes , 1953 .

[18]  P. Billingsley,et al.  Ergodic theory and information , 1966 .

[19]  M. Rosenblatt.  A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION. , 1956, Proceedings of the National Academy of Sciences of the United States of America.

[20]  Steven Orey,et al.  A central limit theorem for $m$-dependent random variables , 1958 .