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Showing 1 to 3 of 3 for “"Bias-Statistics"”.

  1. Numerical Study and Load and Resistance Factor Design (LRFD) Calibration for Reinforced Soil Retaining Walls

    … method adopted in this study is the use of bias statistics to account for prediction accuracy of the underlying deterministic models for load and resistance calculations, random variability in input parameter values, spatial variation and quality of data. In this thesis, bias is defined as …

    queens Repository record for Numerical Study and Load and Resistance Factor Design (LRFD) Calibration for Reinforced Soil Retaining Walls (opens in a new tab)

  2. Evaluating and correcting sensor change artifacts in the SNOTEL temperature records, southern Rocky Mountains, Colorado

    … change on the temperature records. The NSCE and bias statistics from SWE modeling using the original and homogenized datasets suggest that the homogenization methods evaluated in this study are applicable for many of the SNOTEL stations in Colorado but not all, and need to be applied with …

    colostate Repository record for Evaluating and correcting sensor change artifacts in the SNOTEL temperature records, southern Rocky Mountains, Colorado (opens in a new tab)

  3. Clustering studies of radio-selected galaxies

    … that the ALFALFA sample is somewhat more anti-biased with respect to dark matter than the HIPASS sample. We are able to conform the validity of the dark matter correlation predictions by performing simulations of the non-linear structure formation. Further we examine how the bias evolves with …

    western-cape Repository record for Clustering studies of radio-selected galaxies (opens in a new tab)