4 samples from 4 smaller, adjacent uniform distributions instead of 1 large.
up vote
0
down vote
favorite
If the problem requires me to use 4 samples drawn from a uniform distribution $U[0, 1]$ is it allowed to instead obtain such samples from these uniform distributions:
sample once from $U[0,0.25]$
then sample once from $U(0.25, 0.5]$
then sample once from $U(0.5, 0.75]$
finally, sample once from $U(0.75, 1.0]$
Such an approach somewhat reminds me of Importance Sampling, except there is no correction to be applied, since the 4 ranges are equal in amount.
uniform-distribution
asked Nov 11 at 9:54
Kari
1479
add a comment |
up vote
0
down vote
favorite
If the problem requires me to use 4 samples drawn from a uniform distribution $U[0, 1]$ is it allowed to instead obtain such samples from these uniform distributions:
sample once from $U[0,0.25]$
then sample once from $U(0.25, 0.5]$
then sample once from $U(0.5, 0.75]$
finally, sample once from $U(0.75, 1.0]$
Such an approach somewhat reminds me of Importance Sampling, except there is no correction to be applied, since the 4 ranges are equal in amount.
uniform-distribution
asked Nov 11 at 9:54
Kari
1479
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
If the problem requires me to use 4 samples drawn from a uniform distribution $U[0, 1]$ is it allowed to instead obtain such samples from these uniform distributions:
sample once from $U[0,0.25]$
then sample once from $U(0.25, 0.5]$
then sample once from $U(0.5, 0.75]$
finally, sample once from $U(0.75, 1.0]$
Such an approach somewhat reminds me of Importance Sampling, except there is no correction to be applied, since the 4 ranges are equal in amount.
uniform-distribution
asked Nov 11 at 9:54
Kari
1479
If the problem requires me to use 4 samples drawn from a uniform distribution $U[0, 1]$ is it allowed to instead obtain such samples from these uniform distributions:
sample once from $U[0,0.25]$
then sample once from $U(0.25, 0.5]$
then sample once from $U(0.5, 0.75]$
finally, sample once from $U(0.75, 1.0]$
Such an approach somewhat reminds me of Importance Sampling, except there is no correction to be applied, since the 4 ranges are equal in amount.
uniform-distribution
uniform-distribution
asked Nov 11 at 9:54
Kari
1479
asked Nov 11 at 9:54
Kari
1479
edited Nov 12 at 23:53
asked Nov 11 at 9:54
Kari
1479
asked Nov 11 at 9:54
Kari
1479
asked Nov 11 at 9:54
Kari
1479
1479
add a comment |
add a comment |
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2993660%2f4-samples-from-4-smaller-adjacent-uniform-distributions-instead-of-1-large%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
