Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for ...
Various models have been used to represent the stellar populations of our Galaxy: two-component models (e. g., Populations I and II, disk and halo), three-component models (e. g., thin disk, thick ...
Types of data - Concepts of a Statistical population and sample from a population ; qualitative and quantitative data ; nominal and ordinal data ; cross sectional and time series data; discrete and ...
Using stock data that covers the period from April 6, 2001 to June 17, 2009, including data for the recent crisis period, we perform value-at-risk (VaR) risk model validation by backtesting the ...
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