Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модели размещения-распределения× | Мультиномиальная логистическая регрессия× | |
|---|---|---|
| Область≠ | Пространственный анализ | Эконометрика |
| Семейство≠ | Process / pipeline | Regression model |
| Год появления≠ | 1963 | 1974 |
| Автор метода≠ | Leon Cooper; S. L. Hakimi | McFadden |
| Тип≠ | Spatial facility-location optimization | Multinomial logistic regression |
| Основополагающий источник≠ | Cooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. DOI ↗ | McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503 |
| Другие названия | facility location, p-median problem, maximal covering location problem, yer-tahsis modelleri | multinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon |
| Связанные≠ | 4 | 5 |
| Сводка≠ | Location-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population. | Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category. |
| ScholarGateНабор данных ↗ |
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