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Joint Probability Distribution

A joint probability distribution tells us about how two or more random variables are distributed. For example, let X denote the height of a person and Y denote the weight of a person. Here...

Truncated Probability Distribution

Truncated distributions are those distributions for which some of the domain values have been cut off as they cannot be realistically attained in some given real-life application. We need to make changes in the...

Compound Probability Distribution with Examples

A compound probability distribution is the distribution of some combination of independent and identically distributed variables whose parameters themselves follow some probability distribution. Compound Poisson Distribution: Suppose X1,…, XN are independent and identically distributed Poisson variables...

Geometric Distribution – Explained with Examples

The geometric distribution is a discrete probability distribution that is used to calculate the probability of failing in a certain number of successive Bernoulli trials before success is achieved. How is the geometric distribution...

Multinomial Distribution

This is a discrete joint probability distribution. It is used when a particular trial is conducted ‘n’ number of times where each trial can have two or more outcomes. The binomial distribution is a...

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