Timeline for Distribution of specific column of a random variable after repeated sampling
Current License: CC BY-SA 4.0
21 events
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| May 24, 2023 at 19:19 | answer | added | Ute | timeline score: 0 | |
| May 22, 2023 at 17:22 | comment | added | Ute | If I understand you right, you simulate: $m$ times [a sample of $n$ independent random variables] and put each of these $m$ samples as a row of a matrix. After that you look at the columns. Regardless of the distribution of your random variables (norma, chi-Square...) you will always find that the columns consist each of $m$ independent random variables from the distribution that you chose. This is because all single entries in the matrix are independent simulations from the same distribution :-) | |
| May 22, 2023 at 10:15 | comment | added | Tran Khanh | @whuber as I mentioned the content has been updated so the question isn't quite the same as before, my use of terminology wasn't quite correct before. | |
| May 19, 2023 at 14:24 | comment | added | Michael Hardy | Instead of "$n$ samples", I'd rather see "a sample consisting of $n$ observations". That way, talk of "sample size" can make sense, and such language as "a two-sample t-test" can make sense. | |
| May 19, 2023 at 13:17 | history | edited | Michael Hardy | CC BY-SA 4.0 |
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| May 18, 2023 at 13:01 | comment | added | whuber♦ | I'm sorry, but I cannot see any content to the question. You state you have $mn$ Normal random variables and you ask whether a specific subset of them are Normal. What is there to say?? | |
| May 18, 2023 at 3:20 | history | edited | Tran Khanh | CC BY-SA 4.0 |
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| May 18, 2023 at 3:04 | history | edited | Tran Khanh | CC BY-SA 4.0 |
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| May 18, 2023 at 2:51 | comment | added | Tran Khanh | @whuber the question has been updated, two the current answers seem plausible to me at the moment, but I'm not sure that I understand the problem correctly. | |
| May 18, 2023 at 2:50 | comment | added | Tran Khanh | @utobi I updated the question to add more context. | |
| May 18, 2023 at 2:45 | history | edited | Tran Khanh | CC BY-SA 4.0 |
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| May 18, 2023 at 2:36 | vote | accept | Tran Khanh | ||
| May 18, 2023 at 2:46 | |||||
| May 17, 2023 at 15:58 | answer | added | Michael Hardy | timeline score: 0 | |
| May 17, 2023 at 15:55 | comment | added | whuber♦ | Columns $2$ through $n$ are irrelevant in this question, so why mention them? Maybe this comes down to what precisely you mean by "normally distributed with mean $\mu$ and standard deviation $\sigma.$" Could you explain? | |
| May 17, 2023 at 15:49 | history | edited | Michael Hardy | CC BY-SA 4.0 |
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| May 17, 2023 at 10:55 | comment | added | utobi | what do you mean by what about other distributions say chi-Square, exponential, etc.? Which property are you asking about them? Please try to be specific. | |
| May 17, 2023 at 10:54 | history | edited | utobi | CC BY-SA 4.0 |
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| May 17, 2023 at 10:51 | answer | added | utobi | timeline score: 1 | |
| May 17, 2023 at 10:30 | history | edited | Tran Khanh | CC BY-SA 4.0 |
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| S May 17, 2023 at 10:25 | review | First questions | |||
| May 17, 2023 at 10:44 | |||||
| S May 17, 2023 at 10:25 | history | asked | Tran Khanh | CC BY-SA 4.0 |