作者查詢 / AmigoSafin
作者 AmigoSafin 在 PTT [ Math ] 看板的留言(推文), 共53則
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4F→: 題目真的就是那樣 hint: make inference on mean06/23 22:30
7F→: 謝謝 老師也是回我說variance用data的分配去找06/24 02:12
8F→: 我來想想看06/24 02:12
7F→: 好的~謝謝大家!11/08 06:39
3F→: 了解~感謝!!11/06 00:23
6F→: R大是說我自己的答案的格式還是解答?解答我拍一下11/05 02:31
7F→: 解答總共是3個expoential乘一起11/05 02:32
9F→: https://reurl.cc/ZQMYl 解答11/05 02:39
11F→: 謝謝R大!!感謝您~~11/05 02:48
2F→: 我們老師教ese=estimated standard error=std10/27 21:02
3F→: 後來確定是相同的 5*std 謝謝了10/27 21:02
6F→: 我的joint p.d.f.就是\theta^n(X_1*X_2*...*X_n)^10/25 23:29
7F→: {\theta-1}這樣 然後再對上述這個joint pdf取log10/25 23:30
8F→: 謝謝R大~10/25 23:30
13F→: 了解了!感謝您~10/27 02:19
2F→: 您說chebeyshev theorem嗎 還是large number law?10/25 00:27
6F→: 不太懂R大的意思 方便再說明一點嗎?感謝您10/25 00:26
3F→: 所以marginal p.m.f.會有x=0 跟 x=1兩個前提嗎?10/23 06:01
4F→: 我是想問marginal distribution&p.m.f.的差異10/23 06:02
9F→: 題目就是clearly sepcify the marginal distributi10/23 09:30
10F→: and write down its p.m.f.10/23 09:30
11F→: 我目前分配就是用x=0 x=1兩段 p.m.f.用sum(p(x,y))10/23 09:30
12F→: 在R_Y之內這樣表示10/23 09:31
19F→: 了解了 謝謝R大~~10/24 01:33
2F→: 三小時不敵洗個臉後解出來了>"<謝謝~~用E(XY)10/23 13:07