[問題] 數理統計學題目

看板Statistics作者 (好人)時間15年前 (2009/03/12 23:24), 編輯推噓6(6023)
留言29則, 7人參與, 5年前最新討論串1/2 (看更多)
隨機變數X在平移指數分配EXP(入;A) let Z=(x-A)/入 Find the BLUEs(最佳線性不偏) for 入 and A 似乎很難... 希望有高手出來指點 謝謝 -- ※ 發信站: 批踢踢實業坊(ptt.cc) ◆ From: 211.74.182.57

03/12 23:44, , 1F
兩個參數都未知, 這樣可能有不偏估計量嗎?
03/12 23:44, 1F

03/13 00:39, , 2F
請問1F, 為什不會有?
03/13 00:39, 2F

03/13 00:42, , 3F
我猜, mean(X_i) 和 min(X_i) 即是. right?
03/13 00:42, 3F

03/13 00:42, , 4F
從MLE下手,回一樓常態分配是否也算兩未知參數呢
03/13 00:42, 4F

03/13 00:49, , 5F
看完題目, 我還真的以為只有單筆資料X, 看來是我誤會了?
03/13 00:49, 5F

03/13 00:52, , 6F
常態當然是兩個參數.
03/13 00:52, 6F

03/13 00:55, , 7F
min(X_i)屬於BLUEs?
03/13 00:55, 7F

03/13 06:58, , 8F
Why not?
03/13 06:58, 8F

03/13 07:25, , 9F
應該是政大統研97第三題 題目是n筆資料
03/13 07:25, 9F

03/13 08:33, , 10F
樓上厲害, 不知道原po要問的是不是樓上說得題目?
03/13 08:33, 10F

03/13 08:35, , 11F
mean(X_i)與min(X_i)對兩個要估計參數都非不偏, 為何是?
03/13 08:35, 11F

03/13 12:56, , 12F
:(
03/13 12:56, 12F

03/13 13:05, , 13F
linear functions of mean(X_i) and min(X_i).
03/13 13:05, 13F

03/13 15:45, , 14F
題目有說要用mean(X_i),min(X_i)的線性組合嗎?
03/13 15:45, 14F

03/13 15:46, , 15F
回去把BLUE的定義看清楚吧!
03/13 15:46, 15F

03/13 17:46, , 16F
的確是那一題...也是n筆資料X...這題不容易唷x
03/13 17:46, 16F

03/13 22:35, , 17F
它似乎也沒說不可能用. 我看不出來為何不是.
03/13 22:35, 17F

03/13 22:51, , 18F
mean(X_i),min(X_i)不是MLE?在min(X_i)上,用動差法,找
03/13 22:51, 18F

03/13 22:53, , 19F
出不偏估計,且為min(X_i)的線性函數,用Lemann-Schief.
03/13 22:53, 19F

03/13 22:57, , 20F
mean(X_i),min(X_i)是不是MLE? 可能需要一點加減修正,
03/13 22:57, 20F

03/13 22:57, , 21F
但是今天題目要的是BLUE, 不要亂扯一堆沒道理的東西!
03/13 22:57, 21F

03/13 22:59, , 22F
啥是BLUE?
03/13 22:59, 22F

03/13 23:09, , 23F
best linear unbiased estimator.
03/13 23:09, 23F

03/14 01:10, , 24F
所以linear function of mean(X_i)和min(X_i),沒道理?
03/14 01:10, 24F

03/14 01:12, , 25F
如果不是,我到想知道答案是啥?
03/14 01:12, 25F

03/14 01:38, , 26F
你怎麼說一個估計是best?
03/14 01:38, 26F

03/14 02:06, , 27F
03/14 02:06, 27F

11/09 14:48, , 28F
啥是BLUE? https://noxiv.com
11/09 14:48, 28F

01/02 14:51, 5年前 , 29F
應該是政大統研97第三 http://yofuk.com
01/02 14:51, 29F
文章代碼(AID): #19kIah_7 (Statistics)
文章代碼(AID): #19kIah_7 (Statistics)