摘要
选取正态分布、对数分布和威布尔分布与规格材抗弯强度数据分布进行拟合;选取似然比检验和柯尔莫哥洛夫(K-S)检验来检验分布类型与规格材抗弯强度数据的拟合优度。结果表明,对数分布与威布尔分布拟合较好。不同的检验方法在对比不同分布类型的拟合优度时得到的结果略有差别。
Three different probability distributions were studied to evaluate their relative goodness-of-fit in discribing the modulus of rupture for dimension lumber. The distributions under consideration were the normal, lognormal and Weibull. The goodness-of-fit criteria selected in this study were the log likelihood and Kolmogorov-Smimov （K-S） test. The results indicated that lognormal and Weibull distribution generally provided the better fit to the data. The test rasults has a little difference for different goodness-of-fit criteria.
出处
《林业科技》
2015年第4期26-28,23,共4页
Forestry Science & Technology
基金
黑龙江省基本科研业务费基金项目"将神经网络应用于落叶松规格材抗弯强度预测的研究"(HCZ201404)
"十一五"国家科技支撑计划项目(2006BAD18B07)
关键词
规格材抗弯强度
似然比检验
柯尔莫哥洛夫检验
Modulus of rupture for dimension lumber
Log likelihood test
Kolmogorov-Smirnov test
