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Free access to Canadian Journal of Statistics article on Empirical likelihood confidence intervals under imputation for missing survey data from stratified simple random sampling news

  • Authors: Statistics Views
  • Published Date: Sep 23, 2019

Each week, we select a recently published article and offer either free access or highlight a recent open access publication. This week's paper is from Canadian Journal of Statistics and is available...

A point process model for tornado report climatology journal article

  • Journal: Stat
  • Authors: Dmitriy Karpman, Marco A.R. Ferreira, Christopher K. Wikle
  • Published Date: Jan 14, 2013

We propose a point process model with multiplicative risk for the study of tornado reports in the United States. In particular, we implement a rigorous statistical procedure to evaluate...

Semiparametric location estimation under non‐random sampling journal article

  • Journal: Stat
  • Authors: Marc G. Genton, Mijeong Kim, Yanyuan Ma
  • Published Date: Aug 24, 2012

We study a class of semiparametric skewed distributions arising when the sample selection process produces non‐randomly sampled observations. Based on semiparametric theory and taking into...

Surface boxplots journal article

  • Journal: Stat
  • Authors: Marc G. Genton, Christopher Johnson, Kristin Potter, Georgiy Stenchikov, Ying Sun
  • Published Date: Jan 22, 2014

In this paper, we introduce a surface boxplot as a tool for visualization and exploratory analysis of samples of images. First, we use the notion of volume depth to order the images viewed...

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...

Correcting for non‐ignorable missingness in smoking trends journal article

  • 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...

Issue Information journal article

  • Journal: Stat
  • Published Date: Feb 16, 2015

No abstract is available for this article.

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