Probit Model
Term · Environment · MLC-T-ENV-022234
1. A dose-response model.
2. A dose-response model of the form: [See PDF page 150 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] where: P(d) = the probability that an individual selected at random will respond at dose d, assuming a normal distribution of tolerances; α, β = fitted parameters; and γ = background response rate.
3. A dose-response model... where: P(d) = the probability that an individual selected at random will respond at dose d, assuming a normal distribution of tolerances; α, β = fitted parameters; and γ = background response rate. [EPA 2003]
| Identifier | MLC-T-ENV-022234 |
|---|---|
| Field | Environment |
| Subject | Health and safety |
| References | Integrated Risk Information System (IRIS) Glossary; EPA 2003; Adapted from Thesaurus of Terms Used in Microbial Risk Assessment |
Record as JSON
{
"id": "MLC-T-ENV-022234",
"term": "Probit Model",
"field": "Environment",
"definition": "1. A dose-response model.\n\n2. A dose-response model of the form: [See PDF page 150 for formula http://water.epa.gov/scitech/swguidance/standards/upload/2007_10_01_criteria_humanhealth_microbial_thesaurus_microbial-thesaurus.pdf] where: P(d) = the probability that an individual selected at random will respond at dose d, assuming a normal distribution of tolerances; α, β = fitted parameters; and γ = background response rate.\n\n3. A dose-response model... where: P(d) = the probability that an individual selected at random will respond at dose d, assuming a normal distribution of tolerances; α, β = fitted parameters; and γ = background response rate. [EPA 2003]",
"subject": "Health and safety",
"references": [
"Integrated Risk Information System (IRIS) Glossary",
"EPA 2003",
"Adapted from Thesaurus of Terms Used in Microbial Risk Assessment"
],
"url": "https://mlchart.com/terminology/environment/probit-model/"
}
Record 22,234 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.