POWER FUNCTION FOR INVERSE GAUSSIAN REGRESSION MODELS
POWER FUNCTION FOR INVERSE GAUSSIAN REGRESSION MODELS
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DOI：
10.1081/sta-100002257
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发表时间：
2001-04
期刊：
影响因子：
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通讯作者：
Mammo Woldie;J. L. Folks;J. Chandler
中科院分区：
文献类型：
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作者：
Mammo Woldie;J. L. Folks;J. Chandler
逆高斯回归模型适用于自变量和因变量均为非负且因变量的方差取决于自变量的数据。在方差为非常数、方差均值比为常数、变异系数为常数的情况下，建立了零截距逆高斯回归模型。对于所有这些模型，给出了检验斜率假设的幂函数。
Inverse Gaussian regression models are useful for data where both the independent and dependent variable are nonnegative and the variance of the dependent variable depends on the independent variable. Zero intercept inverse Gaussian regression models are presented with nonconstant variance, constant ratio of variance to the mean and constant coefficient of variation. The power function for testing hypotheses about the slope is given for all of these models.