R0053-27149 · q-20261015-advance-20261118-r03-finite-confidence-interval-coverage-0049
原題與已知條件
完整finite laws與total precommitted theta-independent interval procedure責任。操作=ci-pointwise-coverage;資料={"theta_values":[0,1],"samples":["a","b"],"probability_rows":[[[24,26],[2,26]],[[2,26],[24,26]]],"intervals":[[0,0],[1,1]]}。請依 exact_ordered_tuple_declared_by_interface 欄序回答。
G001 — 完整finite laws與total precommitted theta-independent interval procedure責任。操作=ci-pointwise-coverage;資料={"theta_values":[0,1],"samples":["a","b"],"probability_rows":[[[24,26],[2,26]],[[2,26],[24,26]]],"intervals":[[0,0],[1,1]]}。請依 exact_ordered_tuple_declared_by_interface 欄序回答。
逐步推導
S001 · implies
操作前
source roles = [ci-pointwise-coverage]
操作後
derived = [[pointwise_coverage_table, coverage_definition, frequentist_scope]]
條件:無
此頁直接列完整來源欄序與mode特定角色,不靠JavaScript或由答案外形猜介面;No、undefined、infinity各保原意。
步驟識別與依賴
規則:source_ordered_fields_without_JS · 依賴:G001
S002 · implies
操作前
source roles = [[0, 1], [a, b], [[[24, 26], [2, 26]], [[2, 26], [24, 26]]], [[0, 0], [1, 1]]]
操作後
derived = [[0, 1], [a, b], [[0, 0], [1, 1]], [[12/13, 1/13], [1/13, 12/13]], [[a, [0, 0], 0], [b, [1, 1], 1]]]
條件:無
interval先綁原始samples,機率row先綁原始theta與原始sample欄,再連資料一起排序;Source13 theta用numeric,samples用English canonical。區間閉合且有序,每個theta law非負正規化。同一預先固定、total的I(X)不依未知theta。
步驟識別與依賴
規則:CI_ORIGINAL_theta_sample_interval_probability_alignment_Source13_numeric · 依賴:G001, S001
S003 · calculation
操作前
CI theta0 ORIGINAL probability normalization column0 := sum(0, 12/13)
操作後
CI theta0 ORIGINAL probability normalization column0 = 12/13
條件:無
逐原始角色與已證中間量精確代值;不以近似值、索引位址或自洽但換過的操作數取代來源。
步驟識別與依賴
規則:exact_rational_arithmetic · 依賴:G001, S002
S004 · calculation
操作前
CI theta0 ORIGINAL probability normalization column1 := sum(12/13, 1/13)
操作後
CI theta0 ORIGINAL probability normalization column1 = 1
條件:無
逐原始角色與已證中間量精確代值;不以近似值、索引位址或自洽但換過的操作數取代來源。
步驟識別與依賴
規則:exact_rational_arithmetic · 依賴:G001, S003
S005 · calculation
操作前
CI theta1 ORIGINAL probability normalization column0 := sum(0, 1/13)
操作後
CI theta1 ORIGINAL probability normalization column0 = 1/13
條件:無
逐原始角色與已證中間量精確代值;不以近似值、索引位址或自洽但換過的操作數取代來源。
步驟識別與依賴
規則:exact_rational_arithmetic · 依賴:G001, S004
S006 · calculation
操作前
CI theta1 ORIGINAL probability normalization column1 := sum(1/13, 12/13)
操作後
CI theta1 ORIGINAL probability normalization column1 = 1
條件:無
逐原始角色與已證中間量精確代值;不以近似值、索引位址或自洽但換過的操作數取代來源。
步驟識別與依賴
規則:exact_rational_arithmetic · 依賴:G001, S005
S007 · calculation
操作前
CI theta0 ORIGINAL included coverage column0 := sum(0, 12/13)
操作後
CI theta0 ORIGINAL included coverage column0 = 12/13
條件:無
逐原始角色與已證中間量精確代值;不以近似值、索引位址或自洽但換過的操作數取代來源。
步驟識別與依賴
規則:exact_rational_arithmetic · 依賴:G001, S006
S008 · implies
操作前
source roles = [0, [a, b], [[0, 0], [1, 1]], [12/13, 1/13]]
操作後
derived = [[[a, 0, 0, 0, 是, 12/13], [b, 1, 1, 0, 否, 1/13]], 12/13]
條件:無
固定真theta,逐所有可能samples判L(x)<=theta<=U(x),兩端相等也算hit,只把hit的P_theta(x)加起。這是反覆抽樣coverage,不是觀測資料後theta的posterior。
步驟識別與依賴
規則:CI_EVERY_sample_closed_endpoint_membership_AND_weighted_coverage · 依賴:G001, S007
S009 · calculation
操作前
CI theta1 ORIGINAL included coverage column1 := sum(0, 12/13)
操作後
CI theta1 ORIGINAL included coverage column1 = 12/13
條件:無
逐原始角色與已證中間量精確代值;不以近似值、索引位址或自洽但換過的操作數取代來源。
步驟識別與依賴
規則:exact_rational_arithmetic · 依賴:G001, S008
S010 · implies
操作前
source roles = [1, [a, b], [[0, 0], [1, 1]], [1/13, 12/13]]
操作後
derived = [[[a, 0, 0, 1, 否, 1/13], [b, 1, 1, 1, 是, 12/13]], 12/13]
條件:無
固定真theta,逐所有可能samples判L(x)<=theta<=U(x),兩端相等也算hit,只把hit的P_theta(x)加起。這是反覆抽樣coverage,不是觀測資料後theta的posterior。
步驟識別與依賴
規則:CI_EVERY_sample_closed_endpoint_membership_AND_weighted_coverage · 依賴:G001, S009