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OALib Journal期刊
ISSN: 2333-9721
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广义logistic回归模型bayes分析及其在林木存活率预报中的应用
DOI: 10.3969/j.jssn.1000-2006.2010.02.010, PP. 47-50
Keywords: 广义logistic回归模型,mcmc,metroplis？hastings算法,林木存活率
Abstract:
通过因子分析的方法来解释观测变量的相关性，这种方法是通过引入潜在变量来直接刻画相关性。基于bayes统计原理、方法用来解决模型的参数估计问题和统计推断，采用markovchainsmontecarlo(mcmc)进行统计计算。随机模拟的结果表明所提出的林木存活率预测方法是有效的。最后利用该方法对山西沁水县沁水林场的林木存活率与林分的鼠兔数关系进行了分析。
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