background: daylight availability data are essential for designing effectively day lighted buildings. in respect to no available daylight availability data in iran, illuminance data on the south facing vertical surfaces were estimated using a proper method. methods: an illuminance measuring set was designed for measuring vertical illuminances for standard times over 15 days at one hour interval...

a multiple linear regression model is proposed to calculate capacity factor of  analytes using structural features computed using hyperchem software. the  chemical descriptors of analytes were computed using hyperchem software and  regressed against the experimental capacity factors of analytes collected from the  literature. the absolute average percentage deviation (aard) and individual perce...

The paper is prompted by certain apparent deficiences both in the discussion of the regression model in instructional sources for geographers and in the actual empirical application of the model by geographical writers. In the first part of the paper the assumptions of the two regression models, the ‘fixed X’ and the ‘random X’, are outlined in detail, and the relative importance of each of the...

the aim of this study was to determine the monthly dtr mass load of amphetamine-type compounds in poland as well as an investigation of cyclical behaviour by using time series analysis and especially trends analysis.amphetamine, methamphetamine and mdma (ecstasy) were detected in wastewater samples collected from the main wastewater treatment plant in the city of poznan using liquid chromatogra...

A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.