Using image and curve registration for measuring the goodness of fit of spatial and temporal predictions

Biometrics

Volumn 60, Issue 4, 2004, Pages 954-964

  Reilly, Cavan ^a   Price, Phillip ^b   Gelman, Andrew ^c   Sandgathe, Scott A ^d  

^a UNIVERSITY OF MINNESOTA   (United States)

^b LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^c Och Spine at New York Presbyterian Hospitals   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Calculus of variations; Deformation; Dynamic programming; Errors in variables regression; Goodness of fit; Image registration; Morphometrics; Spatial distribution; Time series; Variance components

Indexed keywords

DYNAMIC PROGRAMMING; ERRORS; FORECASTING; NONLINEAR EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; SPATIAL DISTRIBUTION;

CALCULUS OF VARIATIONS; CURVE REGISTRATION; ERRORS-IN-VARIABLES REGRESSIONS; GOODNESS OF FIT; IMAGES REGISTRATION; MORPHOMETRICS; SPATIAL PREDICTION; TEMPORAL PREDICTION; TIMES SERIES; VARIANCE COMPONENTS;

TIME SERIES;

SPATIAL ANALYSIS; TIME SERIES;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; CALCULATION; DATA ANALYSIS; DYNAMICS; GOODNESS OF FIT; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; MEASUREMENT; NONLINEAR SYSTEM; PARAMETER; PREDICTION; SPATIAL SUMMATION; TECHNIQUE;

EID: 10944263500     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2004.00251.x     Document Type: Article

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