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Updated: Jul 10, 2025

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
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Published on: January 30, 2020

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通过事件混合技术对预测的马传导率进行公正的评估

Akito S Koganezawa1,2, Takaaki Matsuura3,4, Daisuke Kawahara1

  • 1Department of Radiation Oncology, Hiroshima University Hospital, Hiroshima, Japan.

Medical physics
|November 27, 2023
PubMed
概括

这项研究引入了一个无偏的成就评分 (AS) 来评估放射治疗中的马传导率 (GPR) 预测模型. 新的评分方法,使用最佳和最差的极限,允许在不同的系统中进行客观的绩效评估.

关键词:
事件混合事件混合.玛传递率的通过率质量保证 质量保证 质量保证容量调节的弧线疗法是指体积调节的弧线疗法.

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Expected Frequencies in Goodness-of-Fit Tests

A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
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The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
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Determination of Expected Frequency01:08

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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