Application of convolution theorems in semiparametric models with non-i.i.d. data

Journal of Statistical Planning and Inference

Volumn 91, Issue 2, 2000, Pages 441-480

  McNeney, Brad ^a,b,c   Wellner, Jon A ^c  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

60F17; 60J70; Asymptotic efficiency; Convolution theorem; Differentiability; Information bound; Local asymptotic normality; Primary 60F05; Regular estimator; Secondary 60J65; Semiparametric model

Indexed keywords

EID: 0038623895     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0378-3758(00)00193-2     Document Type: Article

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