Assessing the adequacy of variance function in heteroscedastic regression models

Biometrics

Volumn 63, Issue 4, 2007, Pages 1218-1225

  Wang, Lan ^a   Zhou, Xiao Hua ^b,c  

^a UNIVERSITY OF MINNESOTA   (United States)

^b VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Goodness of fit test; Heteroscedastic errors; Kernel smoothing; Pseudolikelihood; Variance function

Indexed keywords

NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SAMPLING; STATISTICAL TESTS; STATISTICS;

GOODNESS OF FIT; GOODNESS-OF-FIT TEST; HETEROSCEDASTIC; HETEROSCEDASTIC ERROR; HETEROSCEDASTIC REGRESSION MODELS; HETEROSCEDASTIC REGRESSIONS; KERNEL SMOOTHING; PSEUDO-LIKELIHOOD; TEST STATISTICS; VARIANCE FUNCTION;

RANDOM ERRORS;

ALGORITHM; ASSESSMENT METHOD; BOOTSTRAPPING; DATA SET; ERROR ANALYSIS; IMMUNOASSAY; NUMERICAL MODEL; REGRESSION ANALYSIS; SEED; VARIANCE ANALYSIS;

ANALYSIS OF VARIANCE; ARTICLE; BOOTSTRAPPING; NULL HYPOTHESIS; PARAMETRIC TEST; RADIOIMMUNOASSAY; RANDOM ERROR; REGRESSION ANALYSIS; SAMPLE SIZE; SIMULATION;

EID: 36749045819     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00805.x     Document Type: Article

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