Unformatted text preview: surements were made after these treatments. These data are taken from a larger dataset, described in Rousseauw et al, 1983, South African Medical Journal. Depen-dent variables are sbp: systolic blood pressure; tobacco: cumulative tobacco (kg); ldl: low densiity lipoprotein cholesterol; adiposity; famhist: family history of heart dis-ease (1:Present, 0:Absent); typea: type-A behavior; obesity; alcohol: current alcohol consumption; age: age at onset. Dependent variable chd: response, coronary heart disease. (data) Use kernel smoothing method to estimate the functional regression relation between the (continuous) dependent variables and the response (dependent variables). What is your choices of bandwidth for the calculations by observing the estimated curves. 1...
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- Fall '09
- Atherosclerosis, Yi, kernel, Kernel density estimation