If this model holds, then the log transformation produces a normal distribution. We consider the problem of constructing confidence intervals for the mean of the log-normal distribution. Several methods for doing this are known, including at least one estimator that performed better than Coxxs ...
Olsson U: Confidence intervals for the mean of a log- normal distribution. Biometrics J 2005;13:8.Olsson, U.: Confidence intervals for the mean of a log-normal distribution. Journal of Statistics Education 13(1) (2005)OLSSON, U. 2005. Confidence intervals for the mean of a log-normal ...
Methods for calculating confidence intervals for the mean are reviewed for the case where the data come from a log-normal distribution. In a simulation study it is found that a variation of the method suggested by Cox works well in practice. An approach based on Generalized confidence intervals...
(2003). Likelihood-based confidence intervals for a log-normal mean. Statistics in medicine 22, 1849-1860.Wu J R,A C M Wong,Jiang G Y.Likelihood-based confidence intervals for a log-normal mean. Statistics in Medicine . 2003Wu, J., Wong, A. C. M., and Jiang, G. (2003), "...
This lecture shows how to derive confidence intervals for the mean of a normal distribution. We tackle two different cases: when the variance of the distribution is known; when the variance is unknown. In each case we derive the level of confidence and we discuss how it is set. ...
Confidence intervals for the mean and a percentile based on zero-inflated lognormal dataCoverage probabilitydelta-lognormalfiducial approachgeneralized variable approachone-side tolerance limitquantileupper confidence limitA modied normal-based approximation for calculating the percentiles of a linear ...
C% of these intervals capture the unknown population mean . In other words, the actual mean will be located within the interval C% of the time. Confidence interval = sample mean ± margin of error The population mean for a certain variable is estimated by computing a confidence interval for...
中心极限定理指出,对于大样本量,对于随机变量的任何基础分布,该变量的样本平均值的采样分布将大致正常,平均值等于该随机变量的种群平均值,方差等于变量的种群方差除以样本大小。(基于中心极限定理,当样本大小较大时,我们可以根据正态分布计算总体平均值的置信区间,无论基础总体分布如何。一般来说,30个或更大的样本量可...
Using the t Distribution to Find Confidence Intervals6:57 Biased vs. Unbiased Estimator | Definition, Examples & Statistics4:30 Finding Confidence Intervals for Proportions: Formula & Example6:50 Confidence Intervals: Mean Difference from Matched Pairs7:20 ...
In this paper, we consider the problem of constructing confidence intervals for the normal population mean when the coefficient of variation is known. We obtain 13 confidence intervals using different pivots. Also we conduct a simulation... ZR Alrawi 被引量: 1发表: 2010年 Confidence Intervals fo...