I'm doing data analysis research and currently I'm trying to fit the simple model to a data sample. From physical speculations
I know that the distribution should be a sum of two normal distributions with different parameters (mean, width, area). I fitted
my data with the model and it...
Mean, Variance, Skew, and Kurtosis of X
I am editing my post because it might have been unclear.
Suppose X is a random variable involving 4 binomially distributed random variables:
X = y1(p, 1/2 (a + b)) - y2((1 - p), 1/2 (a + b)) + y3((1 - p),1/2 (a - b)) - y4(p, 1/2 (a - b))
I know that the formula for computing the raw moments of 2-parameter Weibull distribution is:
Mu'n=b^n*Gamma(1+n/c), where b and c are scale and shape parameters, respectively.
However, I couldn't find any exact formula for a 3-parameter Weibull distribution. Is there any simple formula...
I'm a mechanical engineering student and new to statistics. I'm facing a little bit of a problem with pdfs. I have used the Quadrature Method of Moments to find 6 moments of an unknown particle size distribution function.
I'd like to know if there is a way to plot the distribution...
Hello any and all,
I am no statistician so does the term "4th-variance" mean anything to someone? I am attempting to replicate the technique found in the publication below. The paper suggests that the 4th-variance is related to the expectation operator. The paper also discusses moment...
I need the derivation of the parameters of distributions including: Gumbel, Weibal, Lognormal and Gamma with both method of moments and maximum likelihood methods.
Can you introduce me some references for the full derivation? If you are referencing book I appreciate if you can do more than one...
I was doing a problem.
I forgot to mention in the following images, but the question is to find estimates for the two parameters using method of moments.
The sample size is 4 with Y1=8.3, Y2=4.9, Y3=2.6, Y4=6.5