DispersionEstimatorFunction

DispersionEstimatorFunction

广义线性模型拟合函数的一个选项,指定离差参数的估计量.

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范例

打开所有单元关闭所有单元

基本范例  (1)

拟合一个泊松模型:

用缺省的离差估计计算协方差矩阵:

通过 Pearson 估计离差:

通过均方误差估计离差得到:

范围  (2)

定义 FittedModel 的估计:

拟合一个分对数模型:

通过平方误差的和估计离差:

拟合一个概率模型:

通过均方误差估计离差:

Wolfram Research (2008),DispersionEstimatorFunction,Wolfram 语言函数,https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html.

文本

Wolfram Research (2008),DispersionEstimatorFunction,Wolfram 语言函数,https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html.

CMS

Wolfram 语言. 2008. "DispersionEstimatorFunction." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html.

APA

Wolfram 语言. (2008). DispersionEstimatorFunction. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html 年

BibTeX

@misc{reference.wolfram_2024_dispersionestimatorfunction, author="Wolfram Research", title="{DispersionEstimatorFunction}", year="2008", howpublished="\url{https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html}", note=[Accessed: 22-November-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_dispersionestimatorfunction, organization={Wolfram Research}, title={DispersionEstimatorFunction}, year={2008}, url={https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html}, note=[Accessed: 22-November-2024 ]}