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    Robust Regression

    Robust Regression

    - Analysis and Applications

    Af
    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses generalized properties of LP-estimators. It includes an algorithm for identifying outliers using least absolute value criterion, in regression modelling reviews re-descending M-estimators studies Li linear regres

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    Detaljer
    • SprogEngelsk
    • Sidetal310
    • Udgivelsesdato30-06-2020
    • ISBN139780367580186
    • Forlag Crc Press
    • FormatPaperback
    Størrelse og vægt
  • Vægt453 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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    Gompertz-Model Ridge regression Robust regression Univariate time series Linear Programming Problem Analyst Forecasts Bayesian Posterior Consensus Analyst Forecast Data Sets Dual Algorithm m-estimators Expected Earnings Growth Li estimators Li linear regression IRLS Algorithm robust regression weighting scheme Robust Ridge Regression Quantiles Regressor Variable Ridge Estimators Time Series Model Ith Lot Univariate Time Series Forecast Univariate Time Series Model Lp-estimators Price Earnings Multiples Specialized Solution Procedures Ridge Regression Estimator Standardized Residuals
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