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äºˆæ¸¬: åŽŸç†ã¨å®Ÿè·µ (ç¬¬3ç‰ˆ)
äºˆæ¸¬: åŽŸç†ã¨å®Ÿè·µ (ç¬¬3ç‰ˆ) Rob J Hyndman ã¨ George Athanasopoulos ã‚ªãƒ¼ã‚¹ãƒˆãƒ©ãƒªã‚¢ã€€ãƒ¢ãƒŠã‚·ãƒ¥å¤§å¦ ã¾ãˆãŒã äºˆæ¸¬ã«ã¤ã„ã¦ã®ç§ãŸã¡ã®ã‚ªãƒ³ãƒ©ã‚¤ãƒ³æ•™ç§‘æ›¸ã¸ã‚ˆã†ã“ãã€‚ ã“ã®æ•™ç§‘æ›¸ã¯ã€ã•ã¾ã–ã¾ãªäºˆæ¸¬æ‰‹æ³•ã‚’ç¶²ç¾…çš„ã«ç´¹ä»‹ã—ã€èªè€…ãŒåˆ†åˆ¥ã‚’ã‚‚ã£ã¦æ´»ç”¨ã§ãã‚‹ã‚ˆã†ã€å„æ‰‹æ³•ã«ã¤ãååˆ†ãªæƒ…å ±ã‚’æä¾›ã™ã‚‹ã“ã¨ã‚’æ„å›³ã—ã¦ã„ã¾ã™ã€‚å„æ‰‹æ³•ã®èƒŒæ™¯ã«ã‚ã‚‹ç†è«–çš„è©³ç´°ã«ã¤ã„ã¦ã¯æ·±ãè°è«–ã—ã¾ã›ã‚“ãŒã€ãã‚Œã‚‰è©³ç´°ã®å¤šãã‚’æº€ãŸã™å‚è€ƒæ–‡çŒ®ã‚’å„ç« ã®æœ€å¾Œã«ç½®ã„ã¦ã„ã¾ã™ã€‚ ã“ã®æ•™ç§‘æ›¸ãŒæƒ³å®šã—ã¦ã„ã‚‹èªè€…å±¤ã¯ã€ (1)Â äºˆæ¸¬ã«ã¤ã„ã¦æ£å¼ãªè¨“ç·´ã‚’å—ã‘ã¦ã„ãªã„ã®ã«ã€ã¨ã‚‚ã‹ãã‚‚ãƒ“ã‚¸ãƒã‚¹ã®ä¸ã§äºˆæ¸¬ã™ã‚‹ã“ã¨ã«ãªã£ãŸäººãŸã¡ã€ (2)Â ãƒ“ã‚¸ãƒã‚¹ã‚’å¦ç¿’ã—ã¦ã„ã‚‹å¤§å¦ç”Ÿã€ (3)Â äºˆæ¸¬ã‚’é¸æŠžç§‘ç›®ã¨ã—ã¦é¸ã‚“ã MBAã®å¦ç”Ÿã€ã®3ç¨®é¡žã§ã™ã€‚ å®Ÿéš›ã€ã‚ªãƒ¼ã‚¹ãƒˆãƒ©ãƒªã‚¢ã®ãƒ¢ãƒŠã‚·ãƒ¥å¤§å¦ã§ã¯å¤§å¦é™¢ç”Ÿã¨å¤§å¦3å¹´ç”Ÿã‚’å¯¾è±¡ã«ã€ç§ãŸã¡è‡ªèº«ã“ã®æ•™ç§‘æ›¸ã‚’ä½¿ã£ã¦ã„
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8.3 å£ç¯€æ€§ã®ã‚ã‚‹æ‰‹æ³• | äºˆæ¸¬: åŽŸç†ã¨å®Ÿè·µ (ç¬¬3ç‰ˆ)
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Forecast Evaluation using Theilâ€™s Inequality Coefficients
nakag0711 2023/08/05
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Mean absolute scaled error - Wikipedia
In statistics, the mean absolute scaled error (MASE) is a measure of the accuracy of forecasts. It is the mean absolute error of the forecast values, divided by the mean absolute error of the in-sample one-step naive forecast. It was proposed in 2005 by statistician Rob J. Hyndman and Professor of Decision Sciences Anne B. Koehler, who described it as a "generally applicable measurement of forecas
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U Statistic: Definition, Different Types; Theil's U
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Interpretation of mean absolute scaled error (MASE)
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Interpretation of Theil's U2 Statistic - "Forecasting Methods and Applications" book
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Theil's U-statisticsã«ã¤ã„ã¦ã€‚MASEã«ã¤ã„ã¦ã‚‚è¨€åŠã‚ã‚Š

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RMSE vs. Coefficient of Determination
nakag0711 2023/07/29
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