What is Gamma Distribution?
Gamma Distribution is one of the most commonly used probability distributions in statistics. It is a continuous probability distribution used to model the time between events, such as the time between arrivals of customers to a store or the time between phone calls received by a call center. It is also used to model the size of items, such as the size of fish caught in a lake or the size of particles emitted from a radioactive source.
Characteristics of Gamma Distribution
The Gamma Distribution has two parameters, shape and scale. The shape parameter determines the shape of the distribution and the scale parameter determines the spread of the distribution. The Gamma Distribution is often used to model the distribution of a continuous random variable, such as the time between arrivals or the size of particles.
Examples of Gamma Distribution
1. The time between arrivals of customers to a store can be modeled using a Gamma Distribution. The shape parameter determines the shape of the distribution and the scale parameter determines the spread of the distribution. 2. The size of fish caught in a lake can also be modeled using a Gamma Distribution. The shape parameter determines the shape of the distribution and the scale parameter determines the spread of the distribution. 3. The size of particles emitted from a radioactive source can also be modeled using a Gamma Distribution. The shape parameter determines the shape of the distribution and the scale parameter determines the spread of the distribution.
Conclusion
The Gamma Distribution is a continuous probability distribution used to model the time between events or the size of items. It has two parameters, shape and scale, and is commonly used to model the distribution of a continuous random variable. For more information about the Gamma Distribution, please visit the following links: 1. Gamma Distribution 2. Scale Parameter 3. Shape Parameter