ИНФОРМАЦИЯ ФИШЕРА ДЛЯ СЛУЧАЙНО ЦЕНЗУРИРОВАННЫХ НАБЛЮДЕНИЙ
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Fisher informatsiyasi statistik xulosa qilish nazariyasining asosiy tushunchalaridan
biri bo’lib, statistik modellarning parametrlarini baholashda muhim rol o’ynaydi.
U noma’lum parametrga nisbatan kuzatilmaning informativligini o’lchash mezoni
hisoblanadi. Tasodifiy senzurlanish modelida, ya’ni kuzatilmalarning bir qismi to’liq
bo’lmagan hollarda, Fisher informatsiyasini hisoblash murakkab hisoblanadi. Ushbu
maqolada o’ng tomondan tasodifiy senzuralanish modelida Fisher informatsiyasi
o’rganilgan
1. Abdushukurov, I.A., Kim, L.V. Lower Cramer-Rao and Bhattacharya bounds for
randomly censored observations J. Soviet Math. 1987. P. 2171–2185.
2. Prakasa Rao, B. L. S. Identifiability in Stochastic Models: Characterization of Probability
Distributions. 1992. Academic Press.
3. Gang, A. L. Fisher Information in Randomly Censored Data. Journal of Statistical
Planning and Inference, 2000. 90(2), P. 333–345.
4. Efron, B., Hinkley, D. V. Assessing the Accuracy of the Maximum Likelihood Estimator:
Observed Versus Expected Fisher Information. Biometrika, 1978. 65(3), P. 457–483.
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