Central Limit Theorems for dependent variables. I

This publication has 20 references indexed in Scilit:

• On the Strong Mixing Property for Linear Sequences
  Theory of Probability & Its Applications, 1978
• Moment inequalities for S n under general dependence restrictions, with applications
  Probability Theory and Related Fields, 1978
• A Note on the Central Limit Theorems for Dependent Random Variables
  Theory of Probability & Its Applications, 1975
• The Asymptotic Distribution Theory of the Empiric CDF for Mixing Stochastic Processes
  The Annals of Statistics, 1975
• Central Limit Theorems for Sums of Dependent Vector Variables
  The Annals of Mathematical Statistics, 1972
• Weak Convergence of Measures
  1971
• On Strong Mixing Conditions for Stationary Gaussian Processes
  Theory of Probability & Its Applications, 1960
• A CLASS OF STATIONARY PROCESSES AND A CENTRAL LIMIT THEOREM
  Proceedings of the National Academy of Sciences, 1956
• Tables of Integral Transforms. I. Edited by A. Erdélyi Pp. xv, 391. 60s. 1954. (McGraw-Hill)
  The Mathematical Gazette, 1955
• Some probability limit theorems with statistical applications
  Mathematical Proceedings of the Cambridge Philosophical Society, 1953