首页> 外文OA文献 >Maximum Likelihood Estimations Based on Upper Record Values for Probability Density Function and Cumulative Distribution Function in Exponential Family and Investigating Some of Their Properties
【2h】

Maximum Likelihood Estimations Based on Upper Record Values for Probability Density Function and Cumulative Distribution Function in Exponential Family and Investigating Some of Their Properties

机译:基于概率密度函数和累积分布函数在指数家庭中的最大似然估计,并调查其一些属性

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In this paper a useful subfamily of the exponential family has beenconsidered. The ML estimation based on upper record values has been calculatedfor the parameter, Cumulative Density Function, and Probability DensityFunction of the family. Also, the relations between MLE based on record valuesand a random sample has been discussed. Additionally, some properties of theseestimators have been investigated. Finally, it has been proven that theseestimators have some useful properties for samples with large size
机译:在本文中,指数家庭的一个有用的子家族已经受到了影响。已经计算了基于上记录值的ML估计,该参数,累积密度函数和家庭的概率密度功能。此外,已经讨论了基于记录值和随机样本的MLE之间的关系。此外,已经调查了这些思考者的一些性质。最后,已经证明,这些模拟器对具有大尺寸的样品具有一些有用的特性

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号