How can I perform a linear Regression including censored data using the Maximum Likelihood?

3 次查看(过去 30 天)
Is there an already defined function to perform a linear regression including censored data using the Maximum Likelihood?
Assume that I have these vectors
X=[2.423 2.423 2.423 2.305 2.305 2.305 2.143 2.143 2.033 2.033 2.033 2.033 2.033 1.869 1.869]
Y=[4.623 4.845 4.898 5.029 5.274 5.310 5.730 5.776 5.903 6.032 6.699 6.716 6.732 6.699 6.716]
d=[0 0 0 0 0 0 0 0 0 0 1 1 1 1 1]
where the vector d describes the censoring (see mle command). Moreover, for a fixed value of X, Y follows a Normal distribution. How can I derive the curve related to the 0.05 percentile?

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Linear and Nonlinear Regression 的更多信息

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by