Editorial: ‘Big data’ and data sharing
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About: This article is published in Journal of The Royal Statistical Society Series A-statistics in Society. The article was published on 01 Jun 2016. and is currently open access. The article focuses on the topics: Data sharing & Statistics education.
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Citations
Choosing the Level of Significance: A Decision‐theoretic Approach
Jae H. Kim,In Choi +1 more
TL;DR: In this article, the authors present a decision-theoretic approach to choosing the optimal level of significance, with a consideration of the key factors of hypothesis testing, including sample size, prior belief, and losses from Type I and II errors.
Significance Testing in Accounting Research: A Critical Evaluation Based on Evidence
TL;DR: A survey of the papers published in leading accounting journals in 2014 showed that accounting researchers conduct significance testing almost exclusively at a conventional level of significance, without considering key factors such as the sample size or power of a test as discussed by the authors.
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How to Choose the Level of Significance: A Pedagogical Note
TL;DR: The level of significance should be chosen with careful consideration of the key factors such as the sample size, power of the test, and expected losses from Type I and II errors as mentioned in this paper.
Stock Returns and Investors’ Mood: Good Day Sunshine or Spurious Correlation?
TL;DR: In this paper, the effect of daily sunspot numbers on stock return is examined under the same research design as that of a seminal study, and the number of sunspots is found to be highly statistically significant although its economic impact on stock returns is negligible.
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•Posted Content
How to Choose the Level of Significance: A Pedagogical Note
Jae H. Kim
- 01 Jan 2015
TL;DR: The level of significance should be chosen with careful consideration of the key factors such as the sample size, power of the test, and expected losses from Type I and II errors as discussed by the authors.
14