Full Model
Term · Environment · MLC-T-ENV-011844
Yij = Mu(i) + e(ij), Var{e(ij)} = Sigma^2. A Full Model fits all the means at the user specified dose levels. This model also implies a constant variance at each dose level. This likelihood may be of interest in order to determine whether or not a constant variance mode adequately describes the data.
| Identifier | MLC-T-ENV-011844 |
|---|---|
| Field | Environment |
| Subject | Chemicals, toxics and pesticides |
| References | Benchmark Dose Software (BMDS) Glossary of Terms |
Record as JSON
{
"id": "MLC-T-ENV-011844",
"term": "Full Model",
"field": "Environment",
"definition": "Yij = Mu(i) + e(ij), Var{e(ij)} = Sigma^2. A Full Model fits all the means at the user specified dose levels. This model also implies a constant variance at each dose level. This likelihood may be of interest in order to determine whether or not a constant variance mode adequately describes the data.",
"subject": "Chemicals, toxics and pesticides",
"references": [
"Benchmark Dose Software (BMDS) Glossary of Terms"
],
"url": "https://mlchart.com/terminology/environment/full-model/"
}
Record 11,844 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.