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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...

Consistency of the generalized likelihood ratio test for heteroscedastic normal mixtures Early View

  • Journal: Stat
  • Authors: Wenhua Jiang
  • Published Date: Aug 09, 2017

We study a generalized likelihood ratio test for heteroscedastic normal mixtures. The test is based on the generalized maximum likelihood estimator in the context of demixing. We prove...

Empirical likelihood for linear structural equation models with dependent errors Early View

  • Journal: Stat
  • Authors: Y. Samuel Wang, Mathias Drton
  • Published Date: Nov 03, 2017

We consider linear structural equation models that are associated with mixed graphs. The structural equations in these models only involve observed variables, but their idiosyncratic error...

Robust estimation based on a novel family of arctan disparities and the limitation of the second order influence function Early View

  • Journal: Stat
  • Authors: Bhaveshkumar Choithram Dharmani, Ayanendranath Basu
  • Published Date: Jan 03, 2018

The article presents a new family of disparity measures based on the trigonometric tan ...

Merging K ‐means with hierarchical clustering for identifying general‐shaped groups Early View

  • Journal: Stat
  • Authors: Anna D. Peterson, Arka P. Ghosh, Ranjan Maitra
  • Published Date: Jan 17, 2018

Clustering partitions a dataset such that observations placed together in a group are similar but different from those in other groups. Hierarchical and K‐means clustering are two...

Motor insurance claim modelling with factor collapsing and Bayesian model averaging Early View

  • Journal: Stat
  • Authors: Sen Hu, Adrian O'Hagan, Thomas Brendan Murphy
  • Published Date: Mar 26, 2018

While generalized linear models have become the insurance industry's standard approach for claim modelling, the approach of utilizing a single best model on which predictions are based...

A series of single array 2 m factorial search designs for even m Early View

  • Journal: Australian & New Zealand Journal of Statistics
  • Authors: Hooshang Talebi, Elham Jalali
  • Published Date: Nov 26, 2014

Summary By means of a search design one is able to search for and estimate a small set of non‐zero elements from the set of higher order factorial interactions in addition...

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