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Jan
4
comment Pseudorandom Number Generator Using Uniform Random Variable
This is known as Inverse Transform Sampling. Its a good technique to generate random numbers from a given density, however its naive in a sense that the CDF must be calculated (which is not always possible or is too hard). The proof to why this works is here:en.wikipedia.org/wiki/Inverse_transform_sampling You should look into rejection sampling techniques to see an alternative way to generate random numbers.
Dec
31
awarded  Nice Question
Nov
18
awarded  Notable Question
Oct
30
awarded  Notable Question
Oct
12
comment How to solve this limit without L'Hospital's Rule?
What have you tried?
Sep
26
awarded  Notable Question
Sep
23
comment Let $f,g\in V^*$ and assume $g \neq 0$. Show that $f= ag$ for some $a \in F$ iff $Ker(g) \subseteq Ker(f)$.
What is $V^*$? I am not familiar with this.
Sep
20
answered I have two sets that form a function
Sep
17
comment Dual Vector Space of linear functionals
I am not sure you can define such a thing.
Sep
7
comment A quick question regarding hypothesis testing (decision variable)
@George I should also note that the answer only applies to interval/real data AND independent groups. If you have interval/real data and have matched pairs, then the test statistics are slightly different. Similarly, If you have two populations and are dealing with nominal/categorical data the test statistics change again.
Sep
7
comment A quick question regarding hypothesis testing (decision variable)
Yes, when the variances are unknown you use the T test. Remember that choosing the right test statistic requires performing the f-test. To conduct the f-test, the requirement is populations must be normally distributed (and independent). If, indeed, populations are normally distributed, then $n_1, n_2$ doesn't matter. If populations are NOT normally distributed, you'd want your sample sizes $n_1, n_2$ to be large so that you can apply the CLT and thus are able to apply the f-test and continue as above.
Sep
7
revised A quick question regarding hypothesis testing (decision variable)
added 97 characters in body
Sep
7
revised A quick question regarding hypothesis testing (decision variable)
added 97 characters in body
Sep
7
comment A quick question regarding hypothesis testing (decision variable)
I have answered the question here. I am not sure what the etiquette/policy is to copy/paste my answer.
Sep
7
answered A quick question regarding hypothesis testing (decision variable)
Aug
11
awarded  Famous Question
Jul
27
awarded  Yearling
Jul
17
revised Prove/disprove: if $X$ is an eigenvector of $T$ then X is a singular matrix
latex edit
Jul
17
suggested approved edit on Prove/disprove: if $X$ is an eigenvector of $T$ then X is a singular matrix
Jul
12
answered Find general location of point given conditions on its co-ordinates