Statistical Methods for Estimating the Uncertainty in the Best Basis Inventories
Author(s) -
S.R. Wilmarth
Publication year - 2000
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/804778
Subject(s) - standard deviation , statistics , confidence interval , basis (linear algebra) , sample (material) , analyte , mathematics , volume (thermodynamics) , standard error , relative standard deviation , environmental science , econometrics , chemistry , chromatography , thermodynamics , detection limit , geometry , physics
This document describes the statistical methods used to determine sample-based uncertainty estimates for the Best Basis Inventory (BBI). For each waste phase, the equation for the inventory of an analyte in a tank is Inventory (Kg or Ci) = Concentration x Density x Waste Volume. the total inventory is the sum of the inventories in the different waste phases. Using tanks sample data: statistical methods are used to obtain estimates of the mean concentration of an analyte the density of the waste, and their standard deviations. The volumes of waste in the different phases, and their standard deviations, are estimated based on other types of data. The three estimates are multiplied to obtain the inventory estimate. The standard deviations are combined to obtain a standard deviation of the inventory. The uncertainty estimate for the Best Basis Inventory (BBI) is the approximate 95% confidence interval on the inventory
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