审查(临床试验)
统计分析
计算机科学
章节(排版)
拟合优度
统计
背景(考古学)
统计假设检验
统计模型
数据挖掘
数学
人工智能
机器学习
地理
操作系统
考古
出处
期刊:Wiley StatsRef: Statistics Reference Online
日期:2021-11-23
卷期号:: 1-10
被引量:1
标识
DOI:10.1002/9781118445112.stat01761.pub2
摘要
Abstract Statistical analysis of progressively censored data has received much attention during the past decades. This article features different statistical analysis procedures for data obtained with a progressive censoring scheme (PCS). In Section 1, valid and efficient statistical analysis procedures for PCS with progressive staggering and nonstaggering entry plans for the units are considered. The statistical analysis procedures, including estimation, prediction, and goodness‐of‐fit procedures, for PCS in the context of life testing are presented in Section 2.
科研通智能强力驱动
Strongly Powered by AbleSci AI