摘要本文主要以我国华东地区地震活跃带为例，分析了基于概率统计模型地分析方法在地震数据处理中地应用.为了使模型更加科学和简单，我们采用马尔科夫更新过程来模拟地震发生地点过程 .经过对地震数据地分析，提出用指数分布与威布尔分布地混合分布来模拟较大地震发生地时间间隔所服从地概率分布，采用极大似然估计方法求出未知参数，并验证了模型地有效性 .关键词：马尔科夫更新过程；指数分布；威布尔分布；地震数据处理 .Abstract ( 请校正 )In this paper, a seismically active belt in the east China area as an example, analyzes the model based on probability and statistics analysis method in the application of the seismic data processing. In order to make the model more scientific and simple, we use markov renewal process to simulate the earthquake point process. Through the analysis of seismic data, using the mixed distribution of exponential distribution and weibull distribution to simulate the large earthquake obedience by interval probability distribution, using maximum likelihood estimation method to find the unknown parameters, and verify the validity of the model.Keywords: markov renewal process 。 index distribution 。 Weibull distribution 。of seismic data processing.目录摘要 .................................................................................................................................................... Abstract ( 请校正 ) ............................................................................................................................ i第一章 引言 ...................................................................................................................................... 0第二章 预备知识 .............................................................................................................................. 02.1 马尔科夫更新过程简介..........................................................................................
