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-series, spatial statistics) where currenty breakdown definitions typically fail. We illustrate our points using examples from linear … and non-linear regression as well as time-series and spatial statistics. …
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Most operations models assume individuals make decisions based on a perfect understanding of random variables or stochastic processes. In reality, however, individuals are subject to cognitive limitations and make systematic errors. We leverage established psychology on sample naivete to model...
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This paper aims to assess the degree of students’ interest in mathematics and statistics. Five universities, having …
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As I document using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues....
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