Asymptotically optimal nonparametric one- and two-way analysis of variance tests for the log linear model under censoring期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Asymptotically optimal nonparametric one- and two-way analysis of variance tests for the log linear model under censoring

Authors:

Prof. Dr. T. J. Terpstra

Affiliation:

1. Department of Applied Mathematics, University Twente, The Netherlands

Abstract:

We considerr ×c populations with failure ratesλ _ij(t) satisfying the condition

$left{ begin{gathered} lambda _{ij} (t) = lambda (t) exp (alpha _i + beta _j + gamma _{ij} ), hfill Sigma alpha _i = 0, Sigma beta _j = 0, mathop Sigma limits_j gamma _{ij} = 0, mathop Sigma limits_i gamma _{ij} = 0, i leqslant r, i leqslant c, hfill lambda (t) being unknown. hfill end{gathered} right.$

Keywords:	Survival analysis log linear model analysis of variance censoring partial likelihood non-parametric theory contiguity asymptotic optimal similar tests counting process intensity process martingale stochastic integral
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