Computer Intensive Statistical Methods: Validation, Model...

Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap

J.S. Urban Hjorth
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This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation.

Catégories:
Mathematics
Année:
1994
Edition:
1
Editeur::
Chapman and Hall/CRC
Langue:
english
ISBN 10:
1315140055
ISBN 13:
9781351458757
Fichier:
PDF, 11.31 MB
IPFS:
CID , CID Blake2b
english, 1994
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    Mots Clefs

     
    bootstrap
    models
    validation
    estimate
    selection
    confidence
    parameter
    analysis
    methods
    function
    values
    resampling
    method
    regression
    estimated
    probability
    independent
    interval
    figure
    sample
    estimation
    bias
    variables
    parameters
    estimates
    observations
    linear
    prediction
    statistical
    parametric
    variance
    intervals
    functions
    standard
    random
    estimator
    expected
    vector
    error
    empirical
    predictors
    original
    asymptotic
    intensive
    measures
    defined
    selected
    median
    distributions
    resample
    average
    percentile
    statist
    effects
    likelihood
    observed
    zero
    convergence
    classical
    cmv