# How to generate a Frechet distribution using Methods of Moments?

조회 수: 19 (최근 30일)
Geovane Gomes 2023년 7월 24일
답변: Jeff Miller 2023년 7월 25일
How could I generate extreme value type II distribution for maximum using the method of moments? I think of something similar to this

댓글을 달려면 로그인하십시오.

### 답변 (1개)

Jeff Miller 2023년 7월 25일
Here is how you might do it if with Cupid :
%% Example for the 2-parameter Frechet distribution (minimum known to be 0)
% Make some example data to illustrate fitting commands.
sampleSize = 500;
observedVal = Frechet2(10,2).Random(sampleSize,1);
figure;
histogram(observedVal,'Normalization','pdf')
xvals = linspace(min(observedVal),max(observedVal),100);
% Fit with maximum likelihood:
fitDist = Frechet2(9,1); % Guess parameters 9,1
fitDist.EstML(observedVal)
fittedPDF = fitDist.PDF(xvals);
hold on
plot(xvals,fittedPDF)
% Fit with method of moments:
fitDist = Frechet2(9,1); % Guess parameters 9,1
obsMean = mean(observedVal);
obsVar = var(observedVal);
fitDist.EstMom([obsMean,obsVar])
fittedPDF = fitDist.PDF(xvals);
hold on
plot(xvals,fittedPDF)
legend('observed','MLE','Moment')
%% Example for the 3-parameter Frechet distribution (minimum a free paramenter)
% Make some example data to illustrate fitting commands.
%
sampleSize = 1000;
trueMin = -10;
observedVal = Frechet(10,2,trueMin).Random(sampleSize,1);
figure;
histogram(observedVal,'Normalization','pdf')
xvals = linspace(min(observedVal),max(observedVal),100);
% Fit with maximum likelihood:
fitDist = Frechet(9,1,-8); % Guess parameters 9,1,-2
fitDist.EstML(observedVal)
fittedPDF = fitDist.PDF(xvals);
hold on
plot(xvals,fittedPDF)
% Fit with method of moments
fitDist = Frechet(9,1,-8); % Guess parameters 9,1,-2
obsMean = mean(observedVal);
obsVar = var(observedVal);
obs3rdMom = mean( (observedVal - obsMean).^3 );
fitDist.EstMom([obsMean,obsVar,obs3rdMom])
fittedPDF = fitDist.PDF(xvals);
hold on
plot(xvals,fittedPDF)
legend('observed','MLE','Moment')
% Note that the parameter estimates will be unreasonable if the initial guesses
% for parameter values are too far wrong.

댓글을 달려면 로그인하십시오.

### 카테고리

Help CenterFile Exchange에서 Half-Normal Distribution에 대해 자세히 알아보기

R2023a

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by