MULTIPLE REGRESSION MODEL OF SELECTION

is one of many statistical models where applicants are measured on a variety of factors which are weighted to reflect the potential that applicant has of fitting between the predictor and performance on a given job criterion.

 DECENTRALIZED ORGANIZATION
PLEASURE PRINCIPLE

x
LinkedInRedditMessengerTelegramWhatsApp

Related terms:

  1. ATTRACTION-SELECTION-ATTRITION MODEL (ASA MODEL)
  2. MULTIPLE CUTOFF MODEL OF SELECTION
  3. VALIDITY GENERALIZATION MODEL OF SELECTION
  4. How to use regsubsets() in R for Model Selection
  5. NONLINEAR REGRESSION MODEL
  6. R: How to Calculate Odds Ratios in Logistic Regression Model
  7. What does `predict()` do in the case of logistic regression model in R?
  8. How to Extract Regression Coefficients from Scikit-Learn Model?
  9. Vulnerability-Stress Model (aka Stress-Vulnerability Model)
  10. MULTIPLE-RESOURCE MODEL