statistical diagnostic for partially linear varying coefficient model with random right censorship based on empirical likelihood method

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ID: 206714
2013
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Abstract
In this paper, the empirical likelihood method to study the statistical diagnostic for partially linear varying coefficient model with random right censorship. First the primary model is transformed to patially linear varying coefficient model; then the parameter estimation equation based on the experience of application of likelihood methods to estimate. Experience based on the deletion model proposed experience like natural Cook distance, likelihood distance, then find outliers and strong influence point; At last, an example is given to illustrate our results.
Reference Key
shuling2013internationalstatistical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Wang Shuling;Liao Daqing;Liu Man
Journal artium
Year 2013
DOI
DOI not found
URL
http://etamaths.com/index.php/ijaa/article/view/103
Keywords
probabilities mathematical statisticsanalysis

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