用于预测细菌生长速率的平方根模型和斯库菲尔德模型所采用的数据转换评估。
Evaluation of data transformations used with the square root and schoolfield models for predicting bacterial growth rate.
作者信息
Alber S A, Schaffner D W
机构信息
Department of Food Science, Rutgers, State University of New Jersey, New Brunswick 08903.
出版信息
Appl Environ Microbiol. 1992 Oct;58(10):3337-42. doi: 10.1128/aem.58.10.3337-3342.1992.
A comparison was made between mathematical variations of the square root and Schoolfield models for predicting growth rate as a function of temperature. The statistical consequences of square root and natural logarithm transformations of growth rate use in several variations of the Schoolfield and square root models were examined. Growth rate variances of Yersinia enterocolitica in brain heart infusion broth increased as a function of temperature. The ability of the two data transformations to correct for the heterogeneity of variance was evaluated. A natural logarithm transformation of growth rate was more effective than a square root transformation at correcting for the heterogeneity of variance. The square root model was more accurate than the Schoolfield model when both models used natural logarithm transformation.
对用于预测作为温度函数的生长速率的平方根模型和斯库菲尔德模型的数学变化进行了比较。研究了在斯库菲尔德模型和平方根模型的几种变体中使用的生长速率的平方根和自然对数变换的统计结果。小肠结肠炎耶尔森菌在脑心浸液肉汤中的生长速率方差随温度升高而增加。评估了两种数据变换校正方差异质性的能力。生长速率的自然对数变换在校正方差异质性方面比平方根变换更有效。当两个模型都使用自然对数变换时，平方根模型比斯库菲尔德模型更准确。
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