ИНФОРМАЦИЯ ФИШЕРА ДЛЯ СЛУЧАЙНО ЦЕНЗУРИРОВАННЫХ НАБЛЮДЕНИЙ
Fisher information is a fundamental concept in the theory of statistical inference and
plays an important role in parameter estimation of statistical models. It represents
a measure of the informativeness of observed data with respect to the unknown
parameters of the model. In the context of random censoring, where part of the
observations may be incomplete or censored, calculating Fisher information becomes
a challenging task. This paper investigates Fisher information in the model of rightcensored data.
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