Fisher评分算法在正态分布数据参数估计中的应用

Journal of Research in Mathematics Trends and Technology Pub Date : 2021-03-05 DOI:10.32734/jormtt.v3i1.8345

SwitamyAngnitha Purba

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引用次数: 0

摘要

在统计学中，参数估计是使用样本数据对总体的估计。人口数据当然有一定的分布。费雪计分法是牛顿法的一种形式，通常用于求解最大似然方程。本研究的重点是利用fisher评分算法对分布式数据进行估计

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The Application of Fisher Scoring Algorithm on Parameter Estimation of Normal Distributed Data

In statistics, parameter estimation is the estimation of a population using sample data. A population data certainly has a certain distribution. Fisher Scoring is a form of Newton's method which is commonly used in solving the maximum likelihood equation. The focus of this research is to estimate distributed data using the fisher scoring algorithm

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Journal of Research in Mathematics Trends and Technology

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