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White noise testing using wavelets Early View

  • Journal: Stat
  • Authors: Guy P. Nason, Delyan Savchev
  • Published Date: Dec 04, 2014

Testing whether a time series is consistent with white noise is an important task within time series analysis and for model fitting and criticism via residual diagnostics. We introduce...

Correcting for non‐ignorable missingness in smoking trends Early View

  • Journal: Stat
  • Authors: Juho Kopra, Tommi Härkänen, Hanna Tolonen, Juha Karvanen
  • Published Date: Jan 29, 2015

Data missing not at random (MNAR) are a major challenge in survey sampling. We propose an approach based on registry data to deal with non‐ignorable missingness in health examination...

Robust quantile regression using a generalized class of skewed distributions Early View

  • Journal: Stat
  • Authors: Christian Galarza Morales, Victor Lachos Davila, Celso Barbosa Cabral, Luis Castro Cepero
  • Published Date: Mar 15, 2017

It is well known that the widely popular mean regression model could be inadequate if the probability distribution of the observed responses do not follow a symmetric distribution. To deal...

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...

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.