Identifying anomalous values in the realworld database is important both for improving the quality of original data and for reducing the impact of anomalous values in the process of knowledge discovery in databases. Such anomalous values give useful information to the data analyst in discovering useful patterns. Through isolation, these data may be separated and analyzed. The analysis of outlie...

the present study was carried out to compare different random regression models to estimate variance components of lamb's average birth weight per lambing (abwll) in mehraban sheep. the data were 5,559 abwll records of 2,244 mehraban ewes. the random regression models consisted of namely, flock-year-season of lambing as fixed effect, a fixed regression to fit average trajectory of the popu...

In the present study, air quality analyses for ozone (O3) were conducted in Shiraz, a city in the south of Iran. The measurements were taken from 2011 through 2012 in two different locations to prepare average data in the city. The average concentrations were calculated for every 24 hours, each month and each season. Results showed that the highest concentration of ozone occurs generally in the...

In this work multiple linear regression (MLR) and artificial neural network (ANN) were used to predict the retention factors of 40 basic and neutral drugs in immobilized artificial membrane liquid chromatography. Two separate models were developed for prediction of solute retention in two mobile phase compositions which were used five identical descriptors. The standard errors in ANN calculatio...

conclusions orem’s self-care model is significantly effective in reducing the fatigue of multiple sclerosis patients. objectives to determining the effect of orem’s self-care model on fatigue in multiple sclerosis patients. patients and methods this research involved a clinical trial. sixty-three multiple sclerosis patients at the vice-chancellor in treatment affairs of yasuj university of medi...

One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven metho...