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Academy of Management Proceedings, 2021
Abstract Chance models – mechanisms that explain empirical regularities through unsystematic variance – have a long tradition in the sciences but have been historically marginalized in management scholarship, relative to an agentic worldview about the role of managers and organizations. An exception is the work of James G.
Liu, C, Tsay, C-J
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Abstract Chance models – mechanisms that explain empirical regularities through unsystematic variance – have a long tradition in the sciences but have been historically marginalized in management scholarship, relative to an agentic worldview about the role of managers and organizations. An exception is the work of James G.
Liu, C, Tsay, C-J
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Elasticity of Variance of Variance
Wilmott, 2020An empirical two‐horse race between the Heston and SABR for the period around the 2008 financial crisis.
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Variance of the MVUE for Lognormal Variance
Technometrics, 1980MVUE θ* of the parametric function θ = Σ i–1 h i , exp(b i μ + c i σ2) for a lognormal distribution LN(μ, σ2) is considered. The exact variance var(θ*) is given. Then the variance of the MVUE of the parametric function θ = var (Y) = exp(2μ) {exp(2σ2) – exp(σ2)} is explored: (i) for a random sample from the LN(μ, σ2) distribution, and (ii) for a ...
Jiří Likeš, Jiri Likes
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Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering, 2016
Measurements for distributed algorithms, such as performance results, are usually reported using averages, similarly to prevailing practice in other areas of computer science. We argue that including standard deviations offers additional information and that the minimal burden of providing standard deviations is outweighed by the benefits. We propose a
Jesun Sahariar Firoz +3 more
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Measurements for distributed algorithms, such as performance results, are usually reported using averages, similarly to prevailing practice in other areas of computer science. We argue that including standard deviations offers additional information and that the minimal burden of providing standard deviations is outweighed by the benefits. We propose a
Jesun Sahariar Firoz +3 more
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2008
Analysis of variance (ANOVA) represents a set of models that can be fit to data, and also a set of methods for summarizing an existing fitted model. We first consider ANOVA as it applies to classical linear models (the context for which it was originally devised; Fisher, 1925) and then discuss how ANOVA has been extended to generalized linear models ...
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Analysis of variance (ANOVA) represents a set of models that can be fit to data, and also a set of methods for summarizing an existing fitted model. We first consider ANOVA as it applies to classical linear models (the context for which it was originally devised; Fisher, 1925) and then discuss how ANOVA has been extended to generalized linear models ...
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On Robust Variance Filtering and Change of Variance Detection
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020This paper studies the variance filtering and change of variance (CoV) detection under multiple change points in time series signal. In real world scenarios, CoV detection can be challenging since the time series signal may contain not only outliers but also abrupt trend changes.
Qingsong Wen +2 more
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Psychometrika, 1941
The distribution of a linear combination of two statistics distributed as is Chi-square is studied. The degree of approximation involved in assuming a Chi-square distribution is illustrated for several representative cases. It is concluded that the approximation is sufficiently accurate to use in many practical applications.
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The distribution of a linear combination of two statistics distributed as is Chi-square is studied. The degree of approximation involved in assuming a Chi-square distribution is illustrated for several representative cases. It is concluded that the approximation is sufficiently accurate to use in many practical applications.
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