Regression Model with Power Transformation Weighting: Application to Peak Expiratory Flow Rate
نویسندگان
چکیده
This paper presents the development of weighted least squares (WLS) method in regression modeling when data are characterized by a high degree of heteroscedasticity in the response variable. An algorithm is developed to obtain the weighting parameter in the WLS model. Tests for coincidence and parallelism in the WLS model are studied. Finally results are demonstrated empirically by modeling the effect of age, body mass index and sex, on Peak Expiratory Flow Rate (PEFR).
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