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Introduction and Probability Background

Definition of a Stochastic Process--Principal Classes

Processes with Mutually Independent Random Variables

Processes with Mutually Uncorrelated or Orthogonal Random Variables

Markov Processes--Discrete Parameter

Markov Processes--Continuous Parameter

Martingales

Processes with Independent Increments

Processes with Orthogonal Increments

Stationary Processes--Discrete Parameter

Stationary Processes--Continuous Parameter

Linear Least Squares Prediction--Stationary (Wide Sense) Processes

Supplement

Appendix

Bibliography

Index

Introduction and Probability Background

Definition of a Stochastic Process--Principal Classes

Processes with Mutually Independent Random Variables

目次情報: 続きを見る

Author-s preface

Preliminaries

The primary decomposition / 1：

Residue rings and rings of quotients / 2：

Some fundamental properties of noetherian rings / 3：

The algebraic theory of local rings / 4：

The analytic theory of local rings / 5：

Notes

References

Index of definitions

Author-s preface

Preliminaries

The primary decomposition / 1：