| • यादृच्छिक प्रभाव निदर्श | |
| random: अवियमित या\च्छिक | |
| effect: परिणाम प्रभात | |
| model: मडल आदर्श तंत्र | |
random effect model मीनिंग इन हिंदी
random effect model उदाहरण वाक्य
उदाहरण वाक्य
अधिक: आगे- Most of the estimators can be defined in terms of the random effects model
- If the random effects assumption holds, the random effects model is more consistent.
- The random effects model assumes in addition that
- A common model used to synthesize heterogeneous research is the random effects model of meta-analysis.
- The Durbin Wu Hausman test is often used to discriminate between the fixed and the random effects model.
- When there is heterogeneity that cannot readily be explained, one analytical approach is to incorporate it into a random effects model.
- The random effects assumption ( made in a random effects model ) is that the individual specific effects are uncorrelated with the independent variables.
- In a random effects model, \ epsilon _ { it } is assumed to vary stochastically over i or t requiring special treatment of the error variance matrix.
- This is in contrast to random effects models and mixed models in which either all or some of the explanatory variables are treated as if they arise from random causes.
- Between study variance \ sigma ^ 2 _ { \ eta } is estimated using common estimation procedures for random effects models ( restricted maximum likelihood ( REML ) estimators ).
