Gamma Distribution
Term · Environment · MLC-T-ENV-012010
1. A unimodal statistical distribution (relative proportion of responders as a function of some measure) that is restricted to effects greater than or equal to zero that can describe a wide variety of shapes, e.g., flat, peaked, asymmetrical.
2. The general formula for the probability density function of the gamma distribution is [See PDF page 134 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] Where γ is the shape parameter, µ is the location parameter, β is the scale parameter, and Γ is the gamma function which has the formula [See PDF page 134 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] The case where µ = 0 and β = 1 is called the standard gamma distribution. The equation for the standard gamma distribution reduces to [See PDF page 134 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] The gamma is a flexible life distribution model that may offer a good fit to some sets of failure data. It is not, however, widely used as a life distribution model for common failure mechanisms. A common use of the gamma model occurs in Bayesian reliability applications.
3. A two-parameter family of continuous probability distributions, with a scale parameter theta and a shape parameter k.
4. The general formula for the probability density function of the gamma distribution is where γ is the shape parameter, µ is the location parameter, β is the scale parameter, and Γ is the gamma function which has the formula The case where µ = 0 and β = 1 is called the standard gamma distribution. The equation for the standard gamma distribution reduces to. (etc) The gamma is a flexible life distribution model that may offer a good fit to some sets of failure data. It is not, however, widely used as a life distribution model for common failure mechanisms. A common use of the gamma model occurs in Bayesian reliability applications. [NIST/SEMATECH 2005a]
5. The gamma is a flexible life distribution model that may offer a good fit to some sets of failure data. It is not, however, widely used as a life distribution model for common failure mechanisms. A common use of the gamma model occurs in Bayesian reliability applications. [NIST/SEMATECH 2005a]
| Identifier | MLC-T-ENV-012010 |
|---|---|
| Field | Environment |
| Subject | Science and research |
| References | Benchmark Dose Software (BMDS) Glossary of Terms; NIST/SEMATECH 2005a; National Cancer Institute Thesaurus (CC BY 4.0); See MRA Thesaurus; Thesaurus of Terms Used in Microbial Risk Assessment |
Record as JSON
{
"id": "MLC-T-ENV-012010",
"term": "Gamma Distribution",
"field": "Environment",
"definition": "1. A unimodal statistical distribution (relative proportion of responders as a function of some measure) that is restricted to effects greater than or equal to zero that can describe a wide variety of shapes, e.g., flat, peaked, asymmetrical.\n\n2. The general formula for the probability density function of the gamma distribution is [See PDF page 134 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] Where γ is the shape parameter, µ is the location parameter, β is the scale parameter, and Γ is the gamma function which has the formula [See PDF page 134 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] The case where µ = 0 and β = 1 is called the standard gamma distribution. The equation for the standard gamma distribution reduces to [See PDF page 134 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] The gamma is a flexible life distribution model that may offer a good fit to some sets of failure data. It is not, however, widely used as a life distribution model for common failure mechanisms. A common use of the gamma model occurs in Bayesian reliability applications.\n\n3. A two-parameter family of continuous probability distributions, with a scale parameter theta and a shape parameter k.\n\n4. The general formula for the probability density function of the gamma distribution is where γ is the shape parameter, µ is the location parameter, β is the scale parameter, and Γ is the gamma function which has the formula The case where µ = 0 and β = 1 is called the standard gamma distribution. The equation for the standard gamma distribution reduces to. (etc) The gamma is a flexible life distribution model that may offer a good fit to some sets of failure data. It is not, however, widely used as a life distribution model for common failure mechanisms. A common use of the gamma model occurs in Bayesian reliability applications. [NIST/SEMATECH 2005a]\n\n5. The gamma is a flexible life distribution model that may offer a good fit to some sets of failure data. It is not, however, widely used as a life distribution model for common failure mechanisms. A common use of the gamma model occurs in Bayesian reliability applications. [NIST/SEMATECH 2005a]",
"subject": "Science and research",
"references": [
"Benchmark Dose Software (BMDS) Glossary of Terms",
"NIST/SEMATECH 2005a",
"National Cancer Institute Thesaurus",
"See MRA Thesaurus",
"Thesaurus of Terms Used in Microbial Risk Assessment"
],
"url": "https://mlchart.com/terminology/environment/gamma-distribution/"
}
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