เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Das Gupta Decomposition× | Kitagawa Decomposition× | |
|---|---|---|
| สาขาวิชา | ประชากรศาสตร์ | ประชากรศาสตร์ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1993 | 1955 |
| ผู้ริเริ่ม≠ | Prithwis Das Gupta | Evelyn M. Kitagawa |
| ประเภท≠ | Multi-factor, multi-population decomposition of a difference between rates | Arithmetic decomposition of a difference between two summary rates |
| แหล่งต้นตำรับ≠ | Das Gupta, P. (1993). Standardization and Decomposition of Rates: A User's Manual. U.S. Bureau of the Census, Current Population Reports P23-186. link ↗ | Kitagawa, E. M. (1955). Components of a difference between two rates. Journal of the American Statistical Association, 50(272), 1168–1194. DOI ↗ |
| ชื่อเรียกอื่น | Das Gupta's method, Multi-factor rate decomposition, Standardization and decomposition of rates, Das Gupta Ayrıştırması | Components-of-difference method, Rate decomposition, Standardization decomposition, Kitagawa Ayrıştırması |
| ที่เกี่ยวข้อง | 4 | 4 |
| สรุป≠ | Das Gupta decomposition is the general framework for standardizing and decomposing a difference between summary rates when several factors act at once and more than two populations must be compared. Developed by Prithwis Das Gupta and codified in his 1993 U.S. Census Bureau manual, it generalizes Kitagawa's two-population, single-factor decomposition to any number of multiplicatively or additively combined factors and any number of populations, producing factor effects that are exactly additive, symmetric, and internally consistent across every pairwise comparison. | Kitagawa decomposition is a demographic technique that splits the difference between two summary rates — such as two crude death rates, birth rates, or prevalence figures — into the part attributable to differences in the underlying group-specific rates and the part attributable to differences in population composition. Introduced by Evelyn Kitagawa in 1955, it answers whether a gap between two populations reflects genuinely different risks or merely a different age (or other) structure. |
| ScholarGateชุดข้อมูล ↗ |
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