Analyzing the Spatial Distribution of PCB Concentrations in Soils Using Below-Quantification Limit Data

metrics for the detection of changed buildings in 3d old vector maps using als data (case study: isfahan city)

هدف از این تحقیق، ارزیابی و بهبود متریک های موجود جهت تایید صحت نقشه های قدیمی سه بعدی برداری با استفاده از ابر نقطه حاصل از لیزر اسکن جدید شهر اصفهان می باشد . بنابراین ابر نقطه حاصل از لیزر اسکنر با چگالی حدودا سه نقطه در هر متر مربع جهت شناسایی عوارض تغییر کرده در نقشه های قدیمی سه بعدی استفاده شده است. تمرکز ما در این تحقیق بر روی ساختمان به عنوان یکی از اصلی ترین عارضه های شهری می باشد. من...

Origin and spatial distribution of metals in agricultural soils

Presence of toxic metals in agricultural soils can impose adverse health impact on consumers. The main purpose of this study was to determine spatial distribution of elements Fe, Sb, Mn in agriculture soils and crops of Hamedan Province in Iran. Soil samples (0-20 cm depth) were collected from an area of 2831 km2.  Iron, Antimony and Manganese in samples of soil and agricultural crop...

Spatial Distribution Of Iranian Population In Canada: A Portrait Using The 2001 Census Data

Incorporation of concentration data below the limit of quantification in population pharmacokinetic analyses

Handling of data below the lower limit of quantification (LLOQ), below the limit of quantification (BLOQ) in population pharmacokinetic (PopPK) analyses is important for reducing bias and imprecision in parameter estimation. We aimed to evaluate whether using the concentration data below the LLOQ has superior performance over several established methods. The performance of this approach ("All d...

Estimating terminal half life by non-compartmental methods with some data below the limit of quantification

In pharmacokinetic studies it occurs more or less frequently that some measurements are reported to be below the limit of quantification. These data are usually discarded in estimating the terminal half-life by non-compartmental methods. We modify this approach to allow for incorporating data below the quantification limit into the analysis. This is achieved by using maximum likelihood methods ...