विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल कर्नेल घनत्व अनुमान (Panel Kernel Density Estimation)× | पैनल स्थानिक प्रतिगमन× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1962 (KDE); panel extension: 1990s–2000s | 1988-2014 |
| प्रवर्तक≠ | Parzen (1962); Silverman (1986); extended to panel contexts in spatial econometrics literature | Anselin, Elhorst, and colleagues in spatial econometrics |
| प्रकार≠ | Nonparametric density estimation | Spatial panel regression |
| मौलिक स्रोत≠ | Parzen, E. (1962). On estimation of a probability density function and mode. Annals of Mathematical Statistics, 33(3), 1065-1076. DOI ↗ | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| उपनाम | Panel KDE, longitudinal kernel density estimation, repeated-measures KDE, panel nonparametric density estimation | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR |
| संबंधित≠ | 5 | 6 |
| सारांश≠ | Panel Kernel Density Estimation (Panel KDE) extends the standard kernel density estimator to panel (longitudinal) data, estimating smooth density surfaces for spatial or attribute variables observed across multiple units and time periods. It reveals how the distribution of a phenomenon shifts, concentrates, or disperses over time and across groups, making it a natural tool for tracking spatial patterns in repeated-measures or panel datasets. | Panel Spatial Regression extends standard panel data models by explicitly accounting for spatial dependence among cross-sectional units observed over time. It combines the temporal control of panel fixed or random effects with a spatial weights matrix that encodes geographic or network proximity, yielding unbiased and efficient estimates when observations are spatially correlated across units. |
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