MLchartDataset catalogue

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.

Table 1. Record
IdentifierMLC-T-ENV-011844
FieldEnvironment
SubjectChemicals, toxics and pesticides
ReferencesBenchmark 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.