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目次情報: 続きを見る

Preface

Introduction to Probability Theory / 1：

Random Variables / 2：

Conditional Probability and Conditional Expectation / 3：

Markov Chains / 4：

The Exponential Distribution and the Poisson Process / 5：

Continuous-Time Markov Chains / 6：

Renewal Theory and Its Applications / 7：

Queueing Theory / 8：

Reliability Theory / 9：

Brownian Motion and Stationary Processes / 10：

Simulation / 11：

Appendix: Solutions to Starred Exercises

Index

Preface

Introduction to Probability Theory / 1：

Random Variables / 2：

目次情報: 続きを見る

On the concept of contiguity and related theorems / 1：

Asymptotic expansion and asymptotic distribution of likelihood functions / 2：

Approximation of a given family of probability measures by an exponential family - asymptotic sufficiency / 3：

Some statistical applications: AUMP and AUMPU tests for certain testing hypotheses problems / 4：

Some statistical applications: asymptotic efficiency of estimates / 5：

Multiparameter asymptotically optimal tests / 6：

On the concept of contiguity and related theorems / 1：

Asymptotic expansion and asymptotic distribution of likelihood functions / 2：

Approximation of a given family of probability measures by an exponential family - asymptotic sufficiency / 3：