标题: SPSS卡方的拟合优度检验,检验一列数据是否为随机分布,怎么做? [打印本页] 作者: leilei 时间: 2016-8-28 18:07 标题: SPSS卡方的拟合优度检验,检验一列数据是否为随机分布,怎么做? 打扰到您了,陈老师。我现在有一列观测值的分布,我的目的比较简单,就是检验其是否为随机分布。我在文献上找到了类似的操作步骤,内容如下:The numbers of recombination breakpoints present in each gene region and in incremented windows of sizes 200 and 500 nucleotides were counted. A Chi-squared goodness of fit test was used to see whether the observed numbers of recombination breakpoints differ significantly from a random distribution. The expected numbers of breakpoints for each window were assumed to follow a Poisson discrete distribution. The appropriateness of this distribution was tested by simulating the locations of breakpoints randomly (10,000 times) and for each performing the Chi-squared goodness of fit test. The number of times the Chi-squared value for the simulated data exceeded the value for the Poisson distributed was counted.
他说的比较详细,但我外行不太懂,想请您帮忙解决。谢谢您!
The numbers of recombination breakpoints present in each gene region(对每一个基因的表达和不表达是否随机,选择游程检验) and in incremented windows of sizes 200 and 500 nucleotides(对于incremented windows,表达的计数服从Poisson分布) were counted. A Chi-squared goodness of fit test was used to see whether the observed numbers of recombination breakpoints differ significantly from a random distribution(卡方拟合优度检验是检验breakpoints显著不是随机分布!). The expected numbers of breakpoints for each window were assumed to follow a Poisson discrete distribution(每一个window的期望计数expected number,服从泊松分布,那么就显著不是随机分布). The appropriateness of this distribution was tested by simulating the locations of breakpoints randomly (10,000 times) and for each performing the Chi-squared goodness of fit test. The number of times the Chi-squared value for the simulated data exceeded the value for the Poisson distributed was counted.(对incremented windows 的表达次数进行记录,记录出每一种次数出现的频次,并运用Poisson分布的公式计算出每一种次数的期望频次,最后进行卡方拟合优度检验,看实际频次与期望频次是否拟合,拟合则说明数据服从泊松分布,而非随机分布)