Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data
Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing.
Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing.
Autres titres de la collection: Oxford Statistical Science Series
Afficher toutIn All Likelihood
Statistical Modelling and Inference Using Likelihood
Oxford Academic, 2026
978-0-19-895093-6
env. 75.00 CHF
paraît en mars
In All Likelihood
Statistical Modelling and Inference Using Likelihood
Oxford Academic, 2026
978-0-19-895092-9
env. 225.00 CHF
paraît en mars
Time Series Analysis by State Space Methods
Oxford Academic, 2012
978-0-19-964117-8
env. 196.00 CHF
livrable dans env. 10-20 jours
An Introduction to Model-Based Survey Sampling with Applications
Oxford University Press, 2012
978-0-19-856662-5
env. 140.00 CHF
livrable dans env. 10-20 jours
Statistical Modelling in R
Oxford University Press, 2009
978-0-19-921913-1
env. 125.00 CHF
livrable dans env. 10-20 jours
Statistical Modelling in R
Oxford Academic, 2009
978-0-19-921914-8
env. 235.00 CHF
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Optimum Experimental Designs, with SAS
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Celebrating Statistics
Papers in honour of Sir David Cox on his 80th birthday
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Statistical modelling in GLIM4
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The Statistical Evaluation of Medical Tests for Classification and Prediction
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Procrustes Problems
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Numerical Methods for Nonlinear Estimating Equations
Oxford Academic, 2003
978-0-19-850688-1
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