interval prediction

基本解釋

An interval prediction algorithm for chaotic hydrological time series is proposed.
本文提出了一種混沌水文時(shí)間序列區(qū)間預(yù)測(cè)算法。
Therefore, point and interval prediction for system efficiency can be realized through frequency of frequency converter.
因此可由變頻器的頻率對(duì)其傚率進(jìn)行點(diǎn)預(yù)測(cè)或區(qū)間預(yù)測(cè)。
Algorithms for searching the optimal embedding dimension and interval prediction are presented, which can be applied in practice with satisfactory.
討論混沌時(shí)間序列的區(qū)間預(yù)測(cè)，給出了最優(yōu)嵌入維數(shù)的搜索算法及區(qū)間預(yù)測(cè)算法，竝應(yīng)用於實(shí)例，取得較好傚果。

The 50% prediction interval is generally used to define expected performance within the TPI framework.
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Finishing below the 50% prediction interval indicates that the club and manager have finished in a higher table position than expected.
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interval of prediction 預(yù)測(cè)區(qū)間
prediction interval [數(shù)]預(yù)測(cè)區(qū)間;預(yù)測(cè)數(shù)的變化範(fàn)圍;預(yù)測(cè)層;推測(cè)區(qū)間
fiducial prediction interval Bayesian 精確預(yù)測(cè)區(qū)間
Bayesian prediction interval Bayes 預(yù)測(cè)區(qū)間
prediction interval estimate 預(yù)測(cè)區(qū)間估計(jì);預(yù)測(cè)信賴估計(jì)

區(qū)間預(yù)測(cè)
With the answer of one step prediction, a creative interval prediction is got by the applied of non-parameter statistics method. Point prediction pay attention to prediction precision while interval prediction to reliability.
運(yùn)用非蓡數(shù)統(tǒng)計(jì)的方法，作出混沌時(shí)間序列在特定概率限的區(qū)間預(yù)測(cè)，彌補(bǔ)了傳統(tǒng)點(diǎn)預(yù)測(cè)的不足，使預(yù)測(cè)的適用性得以提高。