作者: JINFANG WANG
DOI: 10.1111/J.1467-9469.2006.00480.X
关键词: Likelihood function 、 Statistics 、 Estimating equations 、 Marginal likelihood 、 Quadratic function 、 Mathematics 、 Likelihood-ratio test 、 M-estimator 、 Applied mathematics 、 Likelihood principle 、 Estimation theory
摘要: Abstract. A vector-valued estimating function, such as the quasi-score, is typically not gradient of any objective function. Consequently, an analogue likelihood function cannot be unambiguously defined by integrating This paper studies inference in framework optimal functions. We propose a quadratic artificial for The uniquely identified potential from vector field decomposition imposing some natural restriction on divergence-free part. shown to resemble genuine number respects. bootstrap version also studied, which may used selecting root estimate among multiple roots equation.