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A Course in Statistics with R by B. G. Manjunath, Suresh Ramaiah, Prabhanjan N. Tattar

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Chapter 10Stochastic Processes

Package(s): sna

Dataset(s): testtpm, testtpm2, testtpm3

10.1 Introduction

Stochastic processes commonly refer to a collection of random variables. Such a collection may vary over time, sample number, geographical location, etc. It is to be noted that a stochastic process may consist of finite, countably infinite, or uncountably infinite collections of random variables. An important characteristic of the stochastic process is that it allows us to relax the assumption of independence for a sequence of random variables.

A few examples are in order.

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