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Statistical Techniques for Transportation Engineering by Naresh Davergave, Anil Shah, G Rao, Kumar Molugaram

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Chapter 4

Random Variables

Abstract

Random variables are real numbers defined on sample spaces associated with experiments in which the outcomes are uncertain. Random variables may be discrete or continuous. The joint distributions, Binomial distribution, Poisson distribution, Normal distribution, uniform distribution, Gamma distribution, beta distribution, and Weibull distribution are discussed in a detailed manner in this chapter. Further this chapter also discusses about the mathematical expectations.

Keywords

Joint distributions; joint probability function; marginal density function; mathematical expectation; moments; moment generation function; skewness and kurtosis; discrete distributions and uniform distribution

4.1 Introduction

In this chapter ...

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