| • बहु प्रतिगमन निदर्श • बहु समाश्रयण निदर्श | |
| multiple: गुणाकार गुणज ऐसी | |
| multiple regression: बहु प्रतिगमन | |
| regression: निकासी परावर्तन | |
| regression model: समाश्रयण निदर्श | |
| model: मडल आदर्श तंत्र | |
multiple regression model मीनिंग इन हिंदी
multiple regression model उदाहरण वाक्य
उदाहरण वाक्य
अधिक: आगे- The Greiner Index is calculated using the following formula, derived from a multiple regression model:
- Andreas Graefe applied an equal weighting approach to nine established multiple regression models for forecasting U . S . presidential elections.
- "' Multicollinearity "'refers to a situation in which two or more explanatory variables in a multiple regression model are highly linearly related.
- Research has shown that the sales adjustment grid and the multiple regression model are theoretically the same, with the former applying more heuristic methods and the latter using statistical techniques.
- If this polygyny factor is controlled ( e . g ., through a multiple regression model ), division of labor turns out to be a significant predictor of postmarital residence.
- Perfect "'multicollinearity "'refers to a situation in which " k " ( " k " e " 2 ) explanatory variables in a multiple regression model are perfectly linearly related, according to
- That is, simply plugging in these concepts as variables in a multiple regression model to predict life success in a particular society provides a simplified way to look at their relative effects, but would fail to provide an adequate basis for even understanding, lesser yet altering systemic inequalities based on race, class, and gender.
- His habilitation thesis focused on multiple regression models of global development, based on data from the World Bank and Volker Bornschier as well as the " World Handbook of Political and Social Indicators III ", and tests the relevance of socio-liberal approaches to world development, already inherent in the writings of classical social democratic development theories in Europe in the 1930s with multiple regression and canonical correlation models.
- "' LOESS "'and "'LOWESS "'( "'locally weighted scatterplot smoothing "') are two strongly related non-parametric regression methods that combine multiple regression models in a " k "-nearest-neighbor-based meta-model . " LOESS " is a later generalization of LOWESS; although it is not a true initialism, it may be understood as standing for " LOcal regrESSion ".