标签[confidence-interval]

在统计中,置信区间是对基础参数的估计精度的度量。 原则上,如果对独立的数据样本进行多次估算,则参数应在设定的时间比例内落入相关的置信区间内。 该比例称为覆盖率,通常设置为95%。

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13

如何使用R中的“forestplot”函数在置信区间上叠加预测区间

I want to overlay prediction intervals over confidence intervals in a non-overall forest plot to compare the width between these intervals.我想在非整体森林图中将
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26

如何从模型预测中解释confci函数?为什么这可能与ggplot2上的引导CI图不匹配?

I am trying to reconcile the confidence intervals seen on the ggplot (by using bootstrapped CI) and that when I compute CI from the lmer model.我试图调和在
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27

如何在ggplot2R的2x2因子设计中连接组均值?

I need to connect the means for T across time points;我需要跨时间点连接 T 的均值; and means for M across time points.和 M 跨时间点的平均值。 The T and M have seperate mean
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07

预测的置信区间

I am working on predicting sales.我正在研究销售预测。 I have few observations with monthly data but also have daily data.我对每月数据的观察很少,但也有每日数据。 Is it possible to
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18

python中拟合pdf的分位数预测的置信区间

Im fitting some probabilities distributions models to my precipitation data.我将一些概率分布模型拟合到我的降水数据中。 I've already fit distirbutions usin scipy.stats.rand
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28

保持分类变量的原始顺序

I want to plot confidence intervals of categorical variables.我想绘制分类变量的置信区间。 Here is my data:这是我的数据:Cluster pairs coef Con
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63

R中以下变量均值的均值、标准差和95%置信区间

I need to create a summary table that shows the mean, standard deviation and 95% confidence interval for the mean of the following variables: Selling
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42

手动使用ggplot2的置信区间

I have a data frame that contains four variables.我有一个包含四个变量的数据框。 (1) a variable indicating the period (2) estimates values (3) upper critical point of
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40

如何将两个数字与置信区间相乘?

How can you multiply two numbers that have confidence intervals and get the result with the new confidence interval?如何将两个具有置信区间的数字相乘并得到具有新置信区间的结果? My
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24

使用R中的MCMC函数计算置信区间

I would like to calculate CIs for a list of estimated relative risks that are estimated using Markov chain Monte Carlo simulations.我想计算使用马尔可夫链蒙特卡罗模拟估计
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25

大型数据集的置信区间

I would like to get a confidence interval for very large datasets.我想获得非常大的数据集的置信区间。 It is composed by around 700,000 points for x and y.它由大约 700,000 个
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35

使用statsmodelsSARIMAX手动创建平均响应的置信区间

I have created a timeseries SARIMAX model using the statsmodels library in python.我使用 python 中的 statsmodels 库创建了一个时间序列 SARIMAX 模型。 Currently, we are f
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35

两个回归的系数图

I am trying to create a coefficient plot using ggplot that combines the results of two different regressions.我正在尝试使用ggplot创建一个系数图,该图结合了两个不同回归的结果。 The
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150

(R)为图添加置信区间

I am using R. I am following this tutorial over here (https://rviews.rstudio.com/2017/09/25/survival-analysis-with-r/ ) and I am trying to adapt the c
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34

有没有办法用减号连接两列并用圆形背面覆盖以显示一列中的置信区间

Values = c(2,3,4,5.4,6,1)upper_limit = c(1.1,2,3,3.2,4,5)lower_limit = c(3.4 ,2.4,2.2,3.3,3.3,5.2)df =data.frame(Values,lower_limit,upper_limit)df I w
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41

绘制对数线性模型预测值的95%置信区间

I fit length and weight data to a log-log linear model and created a regression line where the response has been back transformed to the original scal
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42

协变量设置为平均值的glm系数的阴影置信区间带

I would like to plot the line and the shaded 95% confidence interval bands (for example using polygon)from a glm model (family binomial)or using gglot
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如何在ggplotR中将“sigma”或误差函数以及95%置信区间纳入最大似然函数中?

I have a dataframe df with x.number and y.size.我有一个x.number和y.size的数据框df。 I am trying to fit a custom MLL function with aa, K, Ka, q, c with standard
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21

具有非正态数据的线性回归的置信区间

I'm doing linear regressions in R with non-normal data, so I'd like to know how to determine a confidence interval or measure the coefficient's spread
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binconf在低n处返回错误的置信度值?

consider the following考虑以下if I use proportions 520/1000 I get:如果我使用比例520/1000,我得到:p <- 41/45p + c(-qnorm(0.975),qnorm(0.975))*sqrt((1/45)*p*(1-p))

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