Search Results

Skip to Site Navigation

Skip to Site Search

133 Results

Page:   Prev 4 5 6 7 8 9 10 11 12 13 14 Next

Discussion Early View

  • Journal: International Statistical Review
  • Authors: Robert B. Gramacy
  • Published Date: May 28, 2020

Selection error in single‐ and mixed mode surveys of the Dutch general population Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Thomas Klausch, Joop Hox, Barry Schouten
  • Published Date: Jan 27, 2015

Summary This study compares the extent of selection error (non‐response and coverage error) evoked by the four major contemporary modes of data collection (face to face,...

A new method for protecting interrelated time series with Bayesian prior distributions and synthetic data Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Matthew J. Schneider, John M. Abowd
  • Published Date: Jan 27, 2015

Summary Organizations disseminate statistical summaries of administrative data via the Web for unrestricted public use. They balance the trade‐off between protection of...

Bayesian hierarchical models for smoothing in two‐phase studies, with application to small area estimation Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Michelle Ross, Jon Wakefield
  • Published Date: Jan 27, 2015

Summary Two‐phase study designs are appealing since they allow for the oversampling of rare subpopulations, which improves efficiency. We describe a Bayesian hierarchical...

A Bayesian framework for estimating disease risk due to exposure to uranium mine and mill waste on the Navajo Nation Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Lauren Hund, Edward J. Bedrick, Curtis Miller, Gabriel Huerta, Teddy Nez, Sandy Ramone, Chris Shuey, Miranda Cajero, Johnnye Lewis
  • Published Date: Jan 27, 2015

Summary More than 1100 abandoned mines, milling sites and waste piles from the uranium mining period are scattered across the Navajo Nation, resulting in exposures to...

The relationship between education and fertility in the presence of a time varying frailty component Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Anna Gottard, Alessandra Mattei, Daniele Vignoli
  • Published Date: Jan 28, 2015

summary The paper investigates the relationship between fertility and women's education in Italy, using data from the 2009 Household Multipurpose Survey of Family and...

Adjusting for selection bias in assessing the relationship between sibship size and cognitive performance Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Gebrenegus Ghilagaber, Linda Wänström
  • Published Date: Jan 27, 2015

Summary Consistent negative correlations between sibship size and cognitive performance (as measured by intelligence quotient and other mental aptitude tests) have been...

Gender and risk taking: evidence from jumping competitions Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: René Böheim, Mario Lackner
  • Published Date: Jan 28, 2015

Summary We analyse whether female athletes differ from male athletes in their risk‐taking behaviour in a competitive setting. Data from high jump and pole vault...

Page:   Prev 4 5 6 7 8 9 10 11 12 13 14 Next
Search within results

Start new search

Topic

Topic Search Options

Subject Topics Listing

  •  Biostatistics
  •  Business & Economics
  •  Engineering
  •  Environmental
  •  Methods
  •  Social Sciences

Content Filter

Content Filter Options

Content Types Listing

  • Pages/Blocks (0)

Site Footer

Address:

This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com 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.