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A flexible two‐dimensional basic warranty policy with two continuous warranty regions Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Rui Zheng, Chun Su
  • Published Date: Jun 09, 2020

Abstract Flexible warranty policies can satisfy customers by allowing them to select the warranty regions according to their usage rates. However, customers are usually unaware of their future usage...

Deep learning: Computational aspects Early View

  • Journal: WIREs Computational Statistics
  • Authors: Vadim Sokolov, Nicholas Polson
  • Published Date: Jun 09, 2020

Abstract In this article, we review computational aspects of deep learning (DL). DL uses network architectures consisting of hierarchical layers of latent variables to construct predictors for...

A robust biobjective optimization approach for operating a shared energy storage under price uncertainty Early View

  • Journal: International Transactions in Operational Research
  • Authors: Rui Dai, Hadi Charkhgard, Fabian Rigterink
  • Published Date: Jun 08, 2020

Abstract Energy storage (ES) is acknowledged to play an important role in modern energy technologies due to its potential to reduce operational costs, enhance the resilience, and level energy load for...

The Fukushima effect at home: The changing role of domestic actors in Japanese energy policy Early View

  • Journal: Wiley Interdisciplinary Reviews: Climate Change
  • Authors: Timothy Fraser, Daniel P. Aldrich
  • Published Date: Jun 08, 2020

Abstract This paper reviews the changing role of domestic political institutions, including local governments and courts, in Japan's energy policy over the 8 years since the Fukushima disaster,...

Multiresponse optimization of a multistage manufacturing process using a patient rule induction method Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Kwang‐Jae Kim, Jin‐Kyung Yang, Dong‐Hee Lee
  • Published Date: Jun 08, 2020

Abstract Most manufacturing industries produce products through a series of sequential stages, known as a multistage process. In a multistage process, each stage affects the stage that follows, and...

Assessing exposure effects on gene expression Early View

  • Journal: Genetic Epidemiology
  • Authors: Sarah A. Reifeis, Michael G. Hudgens, Mete Civelek, Karen L. Mohlke, Michael I. Love
  • Published Date: Jun 08, 2020

Abstract In observational genomics data sets, there is often confounding of the effect of an exposure on gene expression. To adjust for confounding when estimating the exposure effect, a common...

Power loss due to testing association between covariate‐adjusted traits and genetic variants Early View

  • Journal: Genetic Epidemiology
  • Authors: Michael Boehnke, Pranav Yajnik
  • Published Date: Jun 08, 2020

Abstract Multiple linear regression is commonly used to test for association between genetic variants and continuous traits and estimate genetic effect sizes. Confounding variables are controlled for...

Comparison of random‐effects meta‐analysis models for the relative risk in the case of rare events: A simulation study Early View

  • Journal: Biometrical Journal
  • Authors: Marie Beisemann, Philipp Doebler, Heinz Holling
  • Published Date: Jun 08, 2020

Abstract Pooling the relative risk (RR) across studies investigating rare events, for example, adverse events, via meta‐analytical methods still presents a challenge to researchers. The main reason...

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