經驗貝氏信度模型(Empirical Bayes Estimation for the Buhlmann-Straub Model)

更新寫日期: 2015年2月11日

程式需要在 REG Lin 模式下執行,因此在選擇新程式位置後,按 5 1 選用REG Lin模式。

注意 : 藍色的英文字為統計模式中的變數( n 按 Shift 1 3, Σx 按 Shift 1 2, Σx2 按 Shift 1 3,Σy 按 Shift 1 → 2,σx 按 SHIFT 2 1 2,x為平均x 按 shift 2 1 1),FreqOn 按 Shift MODE ← ← 1。

程式 (222 bytes)

FreqOn: 0→M: ?→A: 0→C: Lbl 0: 0→D: Rec( 0, 0:

While A: ?→B: X + A→X: Y + B→Y: C + B2÷A→C:

D - 2B→D: 1 + M→M: B÷A→A: ?→A: WhileEnd:

X◢ Y÷X→Y◢ Ans , X ; X DT: M - 1 + E-9→M:

C + DY + XY2→C: ?→A: A => Goto 0: x→X◢

Fix 0: Rnd(M→A: Norm 1: C÷A→Y◢ E9(M - A→M:

n σx 2 - YM + Y: Ans ÷ (n - n-1Σy◢ Y ÷ Ans→C◢

ClrStat: While M: M - 1→M: ?→A: ?→B: A ÷ (A + C→D◢

B ; D DT: BD + X - XD◢ WhileEnd: x

 

Press Prog 1  

40 EXE 8000 EXE (read-out: A? and 200)

50 EXE 11000 EXE (read-out: A? and 220)

70 EXE 15000 EXE (read-out: A? and 214.2857143)

0 EXE (0 represent end of first group, read-out: 160)

EXE (read-out: 212.5)

EXE 100 EXE 20000 EXE (read-out: A? and 200)

120 EXE 24000 EXE (read-out: A? and 200)

115 EXE 19000 EXE (read-out: A? and 165.2173913)

0 EXE (0 represent end of second group, read-out: 335)

EXE (read-out: 188.0597015)

EXE 0 EXE (0 represent No other group, read-out: 195.959596)

EXE (read-out: 25163.73876)

EXE (read-out: 182.4695929)

EXE (read-out: 137.9064772)

EXE 160 EXE 212.5 EXE (read-out: 0.537081306)

EXE (read-out: 204.8431378)

EXE 335 EXE 188.0597015 EXE (read-out: 0.708385306)

EXE (read-out: 190.3634268)

EXE (read-out: 198.5990667)

 

 

Reference:

 

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