Gamma Distribution Mean Formula:
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The gamma distribution is a two-parameter family of continuous probability distributions. The mean of a gamma distribution is calculated as the ratio of the shape parameter to the rate parameter.
The calculator uses the gamma distribution mean formula:
Where:
Explanation: The mean represents the average value of the gamma-distributed random variable.
Details: The gamma distribution is commonly used in Bayesian statistics, queuing models, and for modeling waiting times. Understanding its mean is crucial for statistical analysis and probability modeling.
Tips: Enter positive values for both shape and rate parameters. The calculator will compute the mean of the gamma distribution.
Q1: What's the difference between shape and rate parameters?
A: The shape parameter determines the form of the distribution, while the rate parameter controls how quickly probabilities decay.
Q2: Can the mean be negative?
A: No, gamma distribution is defined only for positive values, so the mean is always positive.
Q3: What's the relationship with exponential distribution?
A: Exponential distribution is a special case of gamma distribution with shape = 1.
Q4: When is gamma distribution used?
A: Common applications include modeling insurance claims, rainfall amounts, and reliability data.
Q5: How does this relate to the scale parameter?
A: The scale parameter is the inverse of the rate parameter (scale = 1/rate).