STATISTICAL INFERENCE IN STOCHASTIC PROCESSES
Howard G. Tucker · 1967
Abstract : The following topics are the principal ones investigated under this grant: (1) Hypothesis testing for Poisson-like processes. (2) Hilbert space methods in time series analysis. (3) Limit distributions of branching processes. (4) Hausdorff dimension in stochastic processes. (5) Sufficient statistics for stochastic processes. (6) Absolute continuity and orthogonality of stochastic processes. (7) Subordination of stochastic processes. (8) Slowly varying functions in probability. (9) Mixture problems and the Glivenko- Cantelli Theorem. (10) Random power series.