Aprior va aposterior hodisalar, ularning ehtimolliklarini hisoblash
Abstract
Ushbu maqolada ehtimollar nazariyasidagi aprior va aposterior hodisalar tushuntiriladi. Aprior ehtimollik — tajribadan oldingi bilim asosida, aposterior ehtimollik esa tajriba natijalarini hisobga olgan holda Bayes formulasi yordamida hisoblanadi. Misollar orqali aposterior ehtimollikning aprior ehtimollikdan qanday farq qilishi va amaliy qo‘llanilishi ko‘rsatilgan.
Kalit so‘zlar: aprior ehtimollik, aposterior ehtimollik, Bayes formulasi, hodisa, to‘liq ehtimollik, o‘xshashlik, tajriba, statistik xulosa.
References
1. Lee, P. M. (2012). Bayesian Statistics: An Introduction. 4th Edition. Wiley. – Bayes statistikasi, aprior va aposterior tushunchalarining to‘liq bayoni .
2. Kaplan, D. (2023). Bayesian Statistics for the Social Sciences. 2nd Edition. Guilford Press. – Aprior taqsimotlar turlari, informativ va noinformativ apriorlar haqida batafsil .
3. Xudoyberganov M.T., Vorisov A.K. (2020). Ehtimollar nazariyasi va matematik statistika. Toshkent. – O‘zbek tilidagi asosiy darslik.
4. DeGroot, M. H., & Schervish, M. J. (2012). Probability and Statistics. 4th Edition. Pearson. – Bayes teoremasi va aprior ehtimollikning klassik bayoni.
5. Bain, L. J., & Engelhardt, M. (2000). Introduction to Probability and Mathematical Statistics. Duxbury. – Ehtimollik nazariyasining asosiy tushunchalari.
