Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Regresioni Gjeografikisht i Peshuar (GWR)× | Regresioni me Mënyrën më të Vogël të Katrorëve (OLS)× | |
|---|---|---|
| Fusha≠ | Analiza hapësinore | Ekonometri |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 2002 | 2019 |
| Krijuesi≠ | Fotheringham, Brunsdon & Charlton | Wooldridge (textbook treatment); classical least squares |
| Lloji≠ | Local spatial regression | Linear regression |
| Burimi themelues≠ | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 | Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860 |
| Emërtime të tjera | GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR) | ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu |
| Të lidhura | 5 | 5 |
| Përmbledhja≠ | Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships. | Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE). |
| ScholarGateSeti i të dhënave ↗ |
|
|