MLE OF A 3-PARAMETER GAMMA DISTRIBUTION ANALYSIS OF RAINFALL INTENSITY DATA SETSDavid, I. J.Adubisi, D. O.Ogbaji, O. E.Adehi, U. M.Ikwuoche, O. P.Reliability: Theory & Applications
Maximum likelihood estimates collapse all in page Syntax phat = mle(data) phat = mle(data,Name,Value) [phat,pci] = mle(___) Description phat = mle(data) returns maximum likelihood estimates (MLEs) for the parameters of a normal distribution, using the sample data data. phat = mle(data...
介绍和举例(正态分布、泊松分布、伽马分布)展示了极大似然估计。This paper introduces and gives examples (normal distribution, Poisson distribution, gamma distribution) to show the MLE. maximum-likelihood-estimationmle-estimationmle UpdatedJun 20, 2020 ...
Example 1: Find the parameters of the gamma distribution that best fit the data in range A4:A18 of Figure 1. The preliminary calculations are shown in range D4:D7 of Figure 1. Note that the formula in cell D7 is an array function (and so you must pressCtrl-Shft-Enter...
P Datta,A Gupta,R Agrawal - Dept. of Electr. & Electron. Eng., G.L. Bajaj Inst. of Technol. & Manage., Noida, India;;; 被引量: 9发表: 0年来源期刊 Computer Programs in Biomedicine 12/1982 研究点推荐 generalized log gamma distribution maximum likelihood estimates GGDMLE 引用走势 198...
probability of nonexistenceThis paper deals with the estimation of the parameters of a truncated gamma distribution over (0,), where is assumed to be a ... LM Hegde,RC Dahiya - 《Communications in Statistics》 被引量: 17发表: 2007年 The umvue and bayes estimate of reliability of mixed fail...
对于不同的分布，有特定的偏度(skewness)和峰度(kurtosis)，正态分布、均匀分布、逻辑斯谛分布、指数分布...
phat = mle(data) returns maximum likelihood estimates (MLEs) for the parameters of a normal distribution, using the sample data in the vector data. example phat = mle(data,'distribution',dist) returns parameter estimates for a distribution specified by dist. example phat = mle(data,'pdf',pd...
R. (1991).Statistical Methods: The Geometric Approach, Springer, New York. Google Scholar Simon, G. (1973). Additivity of information in exponential family probability laws,J. Amer. Statist. Assoc.,68, 478–482. Google Scholar Stein, C. M. (1956). Inadmissibility of the usual estimator...
此时,我们需要另外一种分布,即负二项分布(negative binomial distribution),这种分布整合了服从泊松分布的采样变异(sampling variability)和生物变异(biological variability),它更适合对这种情况进行建模。负二项分布有两个参数,在处理计数数据(count data)方面有更大的灵活性。有关RNA-seq与负二项分布的内容可以参考这...