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statistical regression analysis

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统计回归分析
It is also based on a statistical regression analysis between uniformed personnel numbers and civilian personnel numbers actually approved in previous start-up missions.
这种估计还以过去新开办特派团实际核定的军警人数与文职人员人数之间的统计回归分析为依据。
We use statistical regression analysis to assess hedge effectiveness, both at inception of the hedging relationship and on an ongoing basis.
我们在套期关系开始和进行过程中,使用统计回归分析评估对冲有效性。
It is thus not prudent to use statistical regression analysis to determine the number of civilian staff according to the number of uniformed personnel.
因此,采用统计回归分析根据军警人员数目确定文职人员配置数目不够审慎。
Some efforts have been made to develop formulas to estimate the ELP of the IOL based on preoperative information, such as direct measurements of the axial length and corneal curvature of the patient's eye. Such formulas include the Holladay 1, SRK/T, Hoffer Q, Holladay 2, and Hagis formulas. Generally speaking, these formulas are based on statistical regression analysis of the relationship between pre-operative characteristics of the eye and the surgical outcome. These fonnulas sometimes produce estimates of the ELP of the IOL with insufficient accuracy, especially in those patients with axial lengths outside the normal range, resulting in suboptimal surgical results, for example, wherein the patient's eye is not restored to an emmetropic condition. These formulas all attempt to determine how an individual patient may vary from the average of a large population to estimate the ELP. The factors used by these fonnulas to estimate the ELP for a particular patient are not factors that directly relate to the lens position.
有人已做出一些努力来开发根据术前信息(例如,病人眼部轴长和角膜曲率的直接测量值)估算IOL的有效人工晶体位置的公式。这种公式包括Holladay 1、SRK/T、Hoffer Q、Holladay 2和Hagis公式。一般来说,这些公式基于眼部术前特性和外科手术效果之间关系的统计回归分析。这些公式有时得出的IOL的有效人工晶体位置精度不足,特别是轴长处于正常范围之外的病人,这使外科手术效果没有达到最佳,例如,病人眼部没有恢复到正视状态。这些公式均尝试确定个体病人与多个病人的平均值有何不同,从而估算有效人工晶体位置。这些公式采用的用于估算特定病人的有效人工晶体位置的因数并非与晶状体位置直接相关的因数。
The linear least-squares problem occurs in statistical regression analysis; it has a closed-form solution.
線性的最小平方問題發生在統計迴歸分析中;它有一個封閉形式的解決方案。
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Synoniemen voor statistical regression analysis in het Engels

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