How do I simulate Bernoulli observations?
5 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I want to simulate 1000 Bernoulli observations with p = 0.2 and compute an MLE estimate of p along with standard errors and t-statistics, what's the easiest way to do so?
0 Kommentare
Antworten (1)
Prachi Kulkarni
am 18 Okt. 2021
Hi,
You can generate the Bernoulli observation and get the statistics as follows.
n = 1000;
p = 0.2;
data = binornd(1,p,n,1); % Generate 1000 observatiosn of Bernoulli Trials with p = 0.2
phat = mle(data,Distribution="Bernoulli"); % Maximum Likelihood Estimate of p
se = std(data)/sqrt(n); % Standard Error of Mean
[hypothesis,pvalue,ci,stats] = ttest(data); % t-statistics
For more information, see the following documentation.
0 Kommentare
Siehe auch
Kategorien
Mehr zu Conditional Mean Models finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!