Nonparametric lack-of-fit tests for parametric mean-regression models with censored data
نویسندگان
چکیده
منابع مشابه
Nonparametric lack-of-fit tests for parametric mean-regression models with censored data
We develop two kernel smoothing based tests of a parametric mean-regression model against a nonparametric alternative when the response variable is rightcensored. The new test statistics are inspired by the synthetic data and the weighted least squares approaches for estimating the parameters of a (non)linear regression model under censoring. The asymptotic critical values of our tests are give...
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A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the nonparametric smoothing and lack of fit tests is one book that we really recommend you to rea...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2009
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2008.04.008