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1.small PTWI relatively to the observed values leads to an overestimated value of 100% .

2.Risk of exceeding the PTWI was calculated according to PI method, since PTWI does not belong to the distribution tail, i.e. the probability of exceeding it is too high to use TE.

3.To be more accurate, confidence intervals for PI risks are currently being constructed thanks to the use of incomplete V-Statistics.

2007-01-02 20:58:10 · 2 個解答 · 發問者 2 in 社會與文化 語言

請勿使用翻譯軟體,謝謝!

2007-01-03 11:07:38 · update #1

2 個解答


1.small PTWI relatively to the observed values leads to an overestimated value of 100% .
相對於觀測值小的 PTWI 導致該數值被高估為 100 %。
2.Risk of exceeding the PTWI was calculated according to PI method, since PTWI does not belong to the distribution tail, i.e. the probability of exceeding it is too high to use TE.
超過 PTWI 的風險程度是根據 PI 法所計算而得,理由為 PTWI 並不屬於統計分佈的兩端,例如:超過的機率太多而無法使用 TE。
3.To be more accurate, confidence intervals for PI risks are currently being constructed thanks to the use of incomplete V-Statistics.
更精確的解釋為,PI 風險的信賴區間仍未完成,原因為使用不完全的 V-統計量。

2007-01-03 13:12:58 · answer #1 · answered by ? 7 · 0 0

1. 小PTWI 對被觀察的價值相對地導致100% 的過高估計的價值。

2. 超出PTWI 風險被計算了根據PI 方法, 因為PTWI 不屬於發行尾巴, 即超出它的可能性太高的以至於不能使用TE。

3. 是更加準確的, 信心間隔時間為PI 風險當前是被修建的由於對殘缺不全的V統計的用途。

不知道翻譯的對不對,不對的話請見諒!

2007-01-03 04:02:38 · answer #2 · answered by Arnold 2 · 0 0

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