MLchartDataset catalogue

statistical models

Term · Agriculture and food · MLC-T-AGR-006054

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Table 1. Record
IdentifierMLC-T-AGR-006054
FieldAgriculture and food
SubjectFields of Study
ReferencesMedical Subject Headings 2015; NAL Agricultural Thesaurus and Glossary
See alsomathematical models; statistical analysis; functional response models; linear models; probabilistic models
TranslationsSpanish: modelos estadísticos
Record as JSON
{
  "id": "MLC-T-AGR-006054",
  "term": "statistical models",
  "field": "Agriculture and food",
  "definition": "Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.",
  "subject": "Fields of Study",
  "see_also": [
    "mathematical models",
    "statistical analysis",
    "functional response models",
    "linear models",
    "probabilistic models"
  ],
  "references": [
    "Medical Subject Headings 2015",
    "NAL Agricultural Thesaurus and Glossary"
  ],
  "translations": {
    "es": "modelos estadísticos"
  },
  "url": "https://mlchart.com/terminology/agriculture/statistical-models/"
}

Record 6,054 of 6,908 in Agriculture and food terminology (MLC-0114). Request the full dataset.