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Jul
26
comment What is the PMF of the Hamming weight of a multinomial random variable?
I dont think that there is nicer version.
Jul
26
revised Almost everywhere differentiable definition
added 2 characters in body
Jul
19
awarded  Notable Question
Jul
18
comment Minimizing a summation?
This question is not informative. It is reduced to a kind of calculus level. If I was a student, I would first ask why do we take the square of the difference but not for example the 4th power?why do we subtract but not divide? etc.
Jul
18
revised Minimizing a summation?
edited tags
Jul
18
comment How to distribute a cost in a normal distribution
the usual way of doing what you are talking about is to randomly sample from a certain normal distribution. You only need to give the parameters and the number of samples you want to have. Thats all.
Jul
17
comment Why do we use $\mathbb{R}$?
Real numbers are not so important for engineering applications. In engineering applications, real numbers are always quantized. Btw, there is no enough memory to say even a single one, e.g. $\pi$.
Jul
15
comment Probability of inequality with Chi-squared distributed random variables
you're welcome.
Jul
15
revised Probability of inequality with Chi-squared distributed random variables
added 11 characters in body
Jul
15
comment Bootstrap method failing where blocking works
Did you try different data?
Jul
15
answered Probability of inequality with Chi-squared distributed random variables
Jul
15
comment Does it make sense to interpret autocorrelation and box test on 5 data points?
it is difficult to say something definitive. One can however say that $6$ or $7$ data points are in almost all cases accepted as small sample size. Statistically, how representative those data points are, is also very important.
Jul
15
comment Bootstrap method failing where blocking works
I didnt mean that the answer is of no use. Just reminded that if the number of samples is large enough then probably the reason could be different
Jul
14
comment Bootstrap method failing where blocking works
Bootstrap works for independent data and for correlated data, one cannot expect similar performance.
Jul
14
comment Bootstrap method failing where blocking works
for $n$ large, it will have almost no effect.
Jul
7
revised Power Spectral Density Approximation
added 1 character in body
Jul
3
answered (Uniformly) Most Powerful test
Jul
3
answered Power Spectral Density Approximation
Jul
2
comment Power Spectral Density Approximation
$X_t$ and $X_{t+\tau}$ must be independent.
Jun
29
comment What is a moving average system?
@AlonsoDelfín yes more explanation can be given if the OP has interest in it.. No interest basically no answer but still I gave an answer.. Next step will be to delete it, if more requests will arise.