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題 名 | 指數型可能性迴歸分析之探討與應用=The Study and Application of Exponential Possibility Regression Analysis |
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作 者 | 曾國雄; 江勁毅; | 書刊名 | 模糊系統學刊 |
卷 期 | 3:1 1997.01[民86.01] |
頁 次 | 頁1-10 |
分類號 | 557、557 |
關鍵詞 | 模糊迴歸; 指數型可能性迴歸; 可能性分佈; Fuzzy regression; Exponential possibility regression; Possibility distribution; |
語 文 | 中文(Chinese) |
中文摘要 | 傳統上,迴歸模式和觀測資料不一致的的情形是利用觀測誤差的觀念處理,基於 此觀念測誤差的機率分佈之推定,可以得到係數的信賴區間和觀測值之區間預測。但是很多 情況下,以觀測誤差的觀念來處理若干問題並不適當,因此便有以可能性觀點為出發之模式 ,此類模式視輸出入變數的關係是模糊的,即迴歸模式和觀測資料不�C致的情形是因為迴歸 模式之係數的不確定性所引起。所以本文主要是針對傳統機率模型下的迴歸模式,和架構在 可能性模型的可能性迴歸兩者作比較,以了解其異同之處,並以國人赴港人數之需求的實例 說明可能性迴歸之應用。 |
英文摘要 | Trditionally, the deviation between observed values and the estimated values are supposed to be due to measurement errors. According to the estimation of the probability distribution of the measurement errors, one can get the confidence interval of the coefficients and the interval estimated of the observation. However, deviations, in many cases, are not caused by measurement errors;these deviations may be caused by the indefiniteness of the system. In other words, possibility regression model regard the deviations that between the observed values and estimated values as the fuzziness of the parameters of the system. This paper aims at comparing the probability regression model and possibility regression model, and shows how the possibility regression model apply to the demand forecast of the Taiwanese tourists to Hong Kong. |
本系統中英文摘要資訊取自各篇刊載內容。