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The authors reported the equations of calibration curves and the corresponding correlation coefficients. However, the coefficient of correlation was neither a proof of linearity and proportionality, nor a useful measure of the calibration variability. I think that, at least, the proportionality should be evaluated by calculating the confidence interval of the y-intercepts to check that zero is included. Moreover to evaluate the calibration variability the relative residual standard deviations could be calculated. ´ó¼ÒºÃ£¬´óÖÂÇé¿öÊÇÕâÑùµÄ£¬ÎÒµÄʵÑéµÄÒ»²¿·ÖÊÇÏßÐÔʵÑéµÄ£¬·½·¨Ñ§ÖеÄÏßÐÔÑéÖ¤£» Áù¸öµã£¬Å¨¶È¶ÔÓ¦·åÃæ»ý×÷µÄÏßÐԻع飻ÓÃEXCLE×÷µÄ£¬µÃµ½ÁËÒ»¸öR2, correlation coefficient(±äÒìϵÊý)£¬Ëý˵Õâ¸ö±äÒìϵÊýÎÞ·¨·´Ó¦Õâ¸öÏßÐÔ£¬·ÇµÃÒª¸öʲô¿ÉÐÅÇø¼ä£¬Õâ¸ö(X,Y)Áù¸öµãÔõôµÃÕâ¸ö¿ÉÐÅÇø¼äÄØ£¿ ´ó¼Ò°ïæ»Ø´ðһϣ¬¸Ð¼¤²»¾¡ |
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·Ç³£¸Ðл£¬Õâ¸ö 1£© the proportionality should be evaluated by calculating the confidence interval of the y-intercepts to check that zero is included. ÎÒ¼ÓÉÏÖÃÐÅÇø¼ä£º95% confidence interval for intercept £¬ÕâÑùÐÐô£¿ 2) Moreover to evaluate the calibration variability the relative residual standard deviations could be calculated.zÕâ¾ä»°Ó¦¸ÃÔõô»Ø´ðÄØ£¿ ллÄú |
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4Â¥2013-10-14 18:54:40
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5Â¥2013-10-14 19:02:56














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