পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ক্যাপচার-রিক্যাপচার জনসংখ্যা প্রাক্কলন× | পয়সোঁ ও নেগেটিভ বাইনোমিয়াল রিগ্রেশন× | |
|---|---|---|
| ক্ষেত্র≠ | জরিপ পদ্ধতি | অর্থমিতি |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1978 | 1998 |
| প্রবর্তক≠ | Otis, Burnham, White & Anderson | Cameron & Trivedi (textbook treatment); Hilbe (negative binomial) |
| ধরন≠ | Probabilistic population size estimator | Generalized linear model for count data |
| মৌলিক উৎস≠ | Otis, D. L., Burnham, K. P., White, G. C., & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs, 62, 3–135. link ↗ | Cameron, A. C. & Trivedi, P. K. (1998). Regression Analysis of Count Data. Cambridge University Press. DOI ↗ |
| অপর নাম | Mark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala | count regression, log-linear count model, negative binomial regression, Poisson / Negatif Binom Regresyon |
| সম্পর্কিত≠ | 2 | 4 |
| সারসংক্ষেপ≠ | Capture-recapture (also known as mark-recapture) is a statistical method for estimating the size of an unknown population by sampling it twice and tracking which individuals appear in both samples. Formally systematized for closed animal populations by Otis, Burnham, White, and Anderson in their landmark 1978 Wildlife Monographs paper, the method extends naturally to human populations, epidemiology, and incomplete administrative records. | Poisson regression is a generalized linear model for count outcomes — events tallied as non-negative integers such as hospital admissions, accidents, or article counts. It models the log of the expected count as a linear function of the predictors, and is developed in the standard count-data treatment of Cameron and Trivedi (1998); when the counts are over-dispersed, the closely related negative binomial model (Hilbe, 2011) is preferred. |
| ScholarGateডেটাসেট ↗ |
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