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Bayesian regression with B‐splines under combinations of shape constraints and smoothness properties Early View

  • Journal: Statistica Neerlandica
  • Authors: Christophe Abraham, Khader Khadraoui
  • Published Date: Nov 21, 2014

In this paper, we approach the problem of shape constrained regression from a Bayesian perspective. A B‐splines basis is used to model the regression function. The smoothness of the...

A generalization of the Binomial distribution based on the dependence ratio Early View

  • Journal: Statistica Neerlandica
  • Authors: Gianfranco Lovison
  • Published Date: Dec 01, 2014

We propose a generalization of the Binomial distribution, called DR‐Binomial, which accommodates dependence among units through a model based on the dependence ratio (Ekholm et al.,...

On the inefficiency of the restricted maximum likelihood Early View

  • Journal: Statistica Neerlandica
  • Authors: Nicholas T. Longford
  • Published Date: Jan 30, 2015

The restricted maximum likelihood is preferred by many to the full maximum likelihood for estimation with variance component and other random coefficient models, because the variance...

Maximum likelihood estimation of a binomial proportion using one‐sample misclassified binary data Early View

  • Journal: Statistica Neerlandica
  • Authors: Dewi Rahardja, Ying Yang
  • Published Date: Jan 26, 2015

In this article, we construct two likelihood‐based confidence intervals (CIs) for a binomial proportion parameter using a double‐sampling scheme with misclassified binary data. We utilize...

SCAD‐penalized quantile regression for high‐dimensional data analysis and variable selection Early View

  • Journal: Statistica Neerlandica
  • Authors: Muhammad Amin, Lixin Song, Milton Abdul Thorlie, Xiaoguang Wang
  • Published Date: Jan 26, 2015

The present penalized quantile variable selection methods are only applicable to finite number of predictors or do not have oracle property associated with estimator. This technique is...

Bayesian robustness modelling using the O ‐regularly varying distributions Early View

  • Journal: Statistica Neerlandica
  • Authors: J. A. A. Andrade, Edward Omey
  • Published Date: Apr 03, 2017

The theory of robustness modelling is essentially based on heavy‐tailed distributions, because longer tails are more prepared to deal with diverse information (such as outliers) because of...

NCME 2017 Annual Meeting Early View

  • Journal: Educational Measurement: Issues and Practice
  • Published Date: Jul 19, 2016

Actual Interpretations and Use of Scores as Aspects of Validity Early View

  • Journal: Educational Measurement: Issues and Practice
  • Authors: Timothy M. O'Leary, John A. C. Hattie, Patrick Griffin
  • Published Date: Mar 08, 2017

Validity is the most fundamental consideration in test development. Understandably, much time, effort, and money is spent in its pursuit. Central to the modern conception of validity are...

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