MLchartDataset catalogue

Fullest Model

Term · Environment · MLC-T-ENV-011850

Yij = Mu(i) +e(ij), Var{e(ij)} = Sigma(i)^2. The Fullest Model would describe a data set that has an individually estimated mean at each dose level, as well as a non-constant variance that does not have any functional relationship to the mean.

Table 1. Record
IdentifierMLC-T-ENV-011850
FieldEnvironment
SubjectChemicals, toxics and pesticides
ReferencesBenchmark Dose Software (BMDS) Glossary of Terms
Record as JSON 
{
  "id": "MLC-T-ENV-011850",
  "term": "Fullest Model",
  "field": "Environment",
  "definition": "Yij = Mu(i) +e(ij), Var{e(ij)} = Sigma(i)^2. The Fullest Model would describe a data set that has an individually estimated mean at each dose level, as well as a non-constant variance that does not have any functional relationship to the mean.",
  "subject": "Chemicals, toxics and pesticides",
  "references": [
    "Benchmark Dose Software (BMDS) Glossary of Terms"
  ],
  "url": "https://mlchart.com/terminology/environment/fullest-model/"
}

Record 11,850 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.