Reputation
2,794
Top tag
Next privilege 3,000 Rep.
Cast close and reopen votes
Badges
2 4 18
Newest
 Reviewer
Impact
~74k people reached

2d
comment $X_1, \dots, X_n$ are independent random variables. Suppose $M = \min(X_1, X_2, \dots, X_n)$
What is the intent of the conditioning that the sample minimum $M = X_i$, and what do you intend it to mean? Because as it stands, I suspect this is a question that some well-meaning person is going to go to a lot of trouble to solve, only to find out that you intended something quite different.
2d
comment $X_1, \dots, X_n$ are independent random variables. Suppose $M = \min(X_1, X_2, \dots, X_n)$
> OP writes: "I have got the pdf and pmf of M". /// What is the "pdf AND pmf of M"??
Apr
14
comment Expectation of product of two correlated gaussian variables
That's a different problem to the problem I commented upon.
Apr
14
comment Expectation of product of two correlated gaussian variables
Where's da correlation? No see no correlation.
Apr
12
comment How do mathematicians find formulas?
google ////////
Apr
11
comment Pdf of variable as combination of two random variables with exponential distribution
Duplicate of: math.stackexchange.com/questions/1191111/…
Apr
11
comment Name of a “factorial” distribution
The domain of positive support is $m \in \{2, 3, 4, ...\}$.
Apr
9
answered Variance of the Maximum Likelihood Estimator of the parameter of a Rayleigh distribution
Apr
9
revised Variance of the Maximum Likelihood Estimator of the parameter of a Rayleigh distribution
Spelling correction to title, + added tag
Apr
8
comment uniformly distributed random variables
A friend who randomly arrives between 12 and 1 ... is not a friend you want. Hint: find a friend who can keep an appointment.
Apr
3
reviewed Approve rank of a matrix?
Apr
3
reviewed Approve Dealt 3 cards. Odds of being dealt any pair?
Mar
31
awarded  Reviewer
Mar
31
reviewed Approve New Scientist Enigma 1779
Mar
31
reviewed Approve contour integral complex conjugate
Mar
26
comment Bound for variance of maximum of normal random variables
Are the $X_i$ independent? With common $\sigma$, or differing $\sigma_i$? Presumably you intend the latter by your notation $Var(X_i)$?
Mar
26
comment Find the expectations of the largest and smallest order statistics $X_{(n)}$ and $X_{(1)}$ respectively. Uniform distribution
You don't need to use the transformation. Hint: don't use the hint.
Mar
25
reviewed Reject mod operation proof
Mar
24
comment Expectation of a function of a normal random variable
@cgonagu There are 2 mistakes in your description of the definite integral.
Mar
24
comment Expectation of a function of a normal random variable
One can obtain a general symbolic solution when $\alpha = 0$, if that helps ...