Associated Sequences, Demimartingales and Nonparametric Inference [Paperback]

This book gives a comprehensive review of results for associated sequences and demimartingales developed so far, with special emphasis on demimartingales and related processes. Probabilistic properties of associated sequences, demimartingales and related processes are discussed in the first six chapters. Applications of some of these results to some problems in nonparametric statistical inference for such processes are investigated in the last three chapters.

Preface.- 1. Associated Random Variables and Related Concepts.- Introduction.- Some Probabilistic Properties of Associated Sequences.- Related Concepts of Association.- 2. Demimartingales.- Introduction.- Characteristic Function Inequalities.- Doob Type Maximal Inequality.- An Upcrossing Inequality.- Chow Type Maximal Inequality.- Whittle Type Maximal Inequality.- More on Maximal Inequalities.- Maximal phi-Inequalities for Nonnegative Demisubmartingales.- Maximal Inequalities for Functions of Demisubmartingales.- Central Limit Theorems.- Dominated Demisubmartingales.- 3. N-Demimartingales.- Introduction.- Maximal Inequalities.- More on Maximal Inequalities.- Downcrossing Inequality.- Chow Type Maximal Inequality.- Functions of N-Demimartingales.- Strong Law of Large Numbers.- Azuma Type Inequality.- Marcinkiewicz-Zygmund Type inequality.- Comparison Theorem on Moment Inequalities.- 4. Conditional Demimartingales.- Introduction.- Conditional Independence.- Conditional Association.- Conditional Demimartingales.- 5. Multidimensionally Indexed Demimartingales and Continuous Parameter Demimartingales.- Introduction.- Multidimensionally Indexed Demimartingales.- Chow Type Maximal Inequality for Two-parameter Demimartingales.- Continuous Parameter Demisubmartingales.- Maximal inequality for Continuous Parameter Demisubmartingales.- Upcrossing Inequality.- 6. Limit Theorems for Associated Random Variables.- &lƒƒ