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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