meta user
network profile
| bio | website | |
|---|---|---|
| location | ||
| age | 29 | |
| visits | member for | 2 years, 2 months |
| seen | Apr 10 at 14:56 | |
| stats | profile views | 24 |
|
Jan 17 |
awarded | Yearling |
|
Nov 9 |
awarded | Popular Question |
|
May 2 |
comment |
Pseudo random number generator: Why not to use “too many” random variables in one application I'm using Mersenne Twister, I cannot understand why number cannot repeat on the output of generator for example MT generator has array of internal values which determines its state and base on these values consecutive values are generated, therefore there is a possibility of repetition of the value on the output. |
|
May 2 |
comment |
Pseudo random number generator: Why not to use “too many” random variables in one application Yes by why to limit number of values taken to only fraction of period. |
|
May 2 |
revised |
Pseudo random number generator: Why not to use “too many” random variables in one application added 17 characters in body |
|
May 2 |
asked | Pseudo random number generator: Why not to use “too many” random variables in one application |
|
Mar 30 |
comment |
Independent and identically distributed random variable, problem with understand of conception Ok, and what about series of data, can I treat data from two series as data from two iid random variables ? |
|
Mar 30 |
revised |
Independent and identically distributed random variable, problem with understand of conception edited body |
|
Mar 30 |
asked | Independent and identically distributed random variable, problem with understand of conception |
|
Mar 30 |
comment |
Good resources on branching processes Thank you for an answer Didier. Accepted, however I'm still searching for something easier, so if someone has some more links, please share |
|
Mar 30 |
accepted | Good resources on branching processes |
|
Mar 17 |
awarded | Tumbleweed |
|
Mar 13 |
comment |
Problem with unbiased but not consistent estimator I cannot understand how unbiased estimator might be inconsistent. If according to the definition expected value of parameters obtained from the process is equal to expected value of parameter obtained for the whole population how can estimator not converge to parameter in whole population. |
|
Mar 12 |
comment |
Problem with unbiased but not consistent estimator I know that unbiased: it means that expected value of parameters obtained from the process is equal to expected value of parameter obtained for the whole population. And that strong consistency means that when number of samples n increases then estimated value almost surely goes to the value of parameter in whole population |
|
Mar 12 |
asked | Problem with unbiased but not consistent estimator |
|
Mar 5 |
comment |
Matlab: polyfit - standard error Ok, thank you, at the end I implemented it on my own :) |
|
Mar 4 |
awarded | Commentator |
|
Mar 4 |
comment |
Matlab: polyfit - standard error I have to do run it in my function |
|
Mar 4 |
asked | Matlab: polyfit - standard error |
|
Feb 22 |
asked | Multiple instances of random generator |
