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Longitudinal analysis of pre‐ and post‐treatment measurements with equal baseline assumptions in randomized trials Early View

  • Journal: Biometrical Journal
  • Authors: Takashi Funatogawa, Ikuko Funatogawa
  • Published Date: Aug 08, 2019

Abstract For continuous variables of randomized controlled trials, recently, longitudinal analysis of pre‐ and posttreatment measurements as bivariate responses is one of analytical methods to compare...

Climate and society in long‐term perspective: Opportunities and pitfalls in the use of historical datasets Early View

  • Journal: Wiley Interdisciplinary Reviews: Climate Change
  • Authors: Tim Soens, Joris Roosen, Michail Moatsos, Matthew J. Hannaford, Daniel R. Curtis, Bas J. P. Bavel
  • Published Date: Aug 08, 2019

Recent advances in paleoclimatology and the growing digital availability of large historical datasets on human activity have created new opportunities to investigate long‐term interactions between...

About Shewhart control charts to monitor the Weibull mean Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Fidel H. Fernandes, Linda Lee Ho, Marcelo Bourguignon
  • Published Date: Aug 07, 2019

Abstract In this paper, a new reparametrization expressed in terms of the process mean for Weibull distribution is studied; thus, the monitoring of the process mean can be made directly. Additionally,...

Segmented Bayesian calibration approach for estimating age in forensic science Early View

  • Journal: Biometrical Journal
  • Authors: Andrea Bucci, Edlira Skrami, Andrea Faragalli, Rosaria Gesuita, Roberto Cameriere, Flavia Carle, Luigi Ferrante
  • Published Date: Aug 07, 2019

Abstract Forensic age estimation is receiving growing attention from researchers in the last few years. Accurate estimates of age are needed both for identifying real age in individuals without any...

Authors’ reply Early View

  • Journal: Biometrical Journal
  • Authors: Georg Heinze, Christine Wallisch, Daniela Dunkler
  • Published Date: Aug 07, 2019

Deep recurrent neural network‐based residual control chart for autocorrelated processes Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Shumei Chen, Jianbo Yu
  • Published Date: Aug 06, 2019

Abstract With the growth of automation in process industries, there is correlation in the process variables. Deep learning has achieved many great successes in image and visual analysis. This paper...

End user–oriented node resource allocation: An application‐based method Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Xin Zhang, Ning Huang, Biwei Li
  • Published Date: Aug 06, 2019

Abstract For a network, how to allocate limited resources to achieve high network reliability has been concerned by engineers. From the perspective of the users, the quality of applications is the...

Analysis of ranking data Early View

  • Journal: WIREs Computational Statistics
  • Authors: Philip L. H. Yu, Jiaqi Gu, Hang Xu
  • Published Date: Aug 06, 2019

Abstract Ranking is one of the simple and efficient data collection techniques to understand individuals' perception and preferences for some items such as products, people, and species. Ranking data...

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