3,831,923 research outputs found

    Empirical comparison of the performance of location estimates of fuzzy number-valued data

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    © Springer Nature Switzerland AG 2019. Several location measures have already been proposed in the literature in order to summarize the central tendency of a random fuzzy number in a robust way. Among them, fuzzy trimmed means and fuzzy M-estimators of location extend two successful approaches from the real-valued settings. The aim of this work is to present an empirical comparison of different location estimators, including both fuzzy trimmed means and fuzzy M-estimators, to study their differences in finite sample behaviour.status: publishe

    Manage Personality Conflicts for SelfManagement Success

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    We addressed the importance of being problem solvers in this paper, as well as what happens when the "problem" is someone else. The ability to resolve personality conflicts is the fourth self management competency

    Empirical

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    This thesis discusses the relationship between presence and void in relation to two pieces being found within one. A product of my upbringing, the monotony and multiples gave me the opportunity to continue my pattern of processing personal emotions through the artistic process. Very physically and conceptually fluid, the pieces are all visually singular with ties to architecture or city planning as well as influences from other artists that work with positive and negative

    Semi-empirical model of MOST and passive devices focused on narrowband RF blocks

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    This paper presents a semi-empirical modeling of MOST and passive elements to be used in narrowband radiofrequency blocks for nanometer technologies. This model is based on a small set of look-up tables (LUTs) obtained via electrical simulations. The MOST description is valid for all-inversion regions of MOST and the data is extracted as function of the gm=ID characteristic; for the passive devices the LUTs include a simplified model of the element and its principal parasitic at the working frequency f0. These semi-empirical models are validated by designing a set of 2.4-GHz LNAs and 2.4-GHz and 5-GHz VCOs in three different MOST inversion regions

    An empirical analysis of valence in electoral competition

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    Spatial models of voting have dominated mathematical political theory since the seminal work of Downs. The Downsian model assumes that each elector votes on the basis of his utility function which depends only on the distance between his preferred policy platform and the ones proposed by candidates. A succession of papers introduces valence issues into the model, i.e. candidates' characteristics which are independent of the platforms they propose. So far, little is known about which of the existing utility functions used in valence models is the most empirically founded. Using a large survey run prior to the 2007 French presidential election, we evaluate and compare several spatial voting models with valence. Existing models perform poorly in ¯tting the data. However, strong empirical regularities emerge. This leads us to a new model of valence that we call the partisan valence model. This new model makes sense theoretically and is sound empirically

    Onward and upward? An empirical investigation of gender and promotions in Information Technology Services

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    The shaky ascent of women up the organizational ladder is a critical factor that may contribute to the lack of women in information technology (IT). In this study, we examine the effect of gender on the likelihood of employee promotions. We further examine whether women get an equal lift in promotion likelihood from performance improvements, work experience, and training as men. We analyze archival promotion data, as well as demographic, human capital, and administrative data for 7,004 employees at a leading IT services firm located in India for the years 2002–2007 and for multiple levels of promotion. We develop robust econometric models that consider employee heterogeneity to identify the differential effect of gender and performance on promotions. We find that, contrary to expectations, women are more likely to be promoted, on average. However, looking deeper into the heterogeneous main effects using hierarchical Bayesian modeling reveals more nuanced insights. We find that, ceteris paribus, women realize less benefit from performance gains than men, less benefit from tenure within the focal firm, but more benefit from training than men. These results suggest that despite the disparity in returns to performance and experience improvements, women can rely on signaling mechanisms such as training to restore parity in promotions. We find that the effects of gender and performance vary with the level of employee promotion; although not as much as men, women benefit more from performance gains at higher organizational levels. Our findings suggest several actionable managerial insights that can potentially make IT firms more inclusive and attractive to women

    On Empirical Entropy

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    We propose a compression-based version of the empirical entropy of a finite string over a finite alphabet. Whereas previously one considers the naked entropy of (possibly higher order) Markov processes, we consider the sum of the description of the random variable involved plus the entropy it induces. We assume only that the distribution involved is computable. To test the new notion we compare the Normalized Information Distance (the similarity metric) with a related measure based on Mutual Information in Shannon's framework. This way the similarities and differences of the last two concepts are exposed.Comment: 14 pages, LaTe

    Asymmetric Empirical Similarity

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    The paper offers a formal model of analogical legal reasoning and takes the model to data. Under the model, the outcome of a new case is a weighted average of the outcomes of prior cases. The weights capture precedential influence and depend on fact similarity (distance in fact space) and precedential authority (position in the judicial hierarchy). The empirical analysis suggests that the model is a plausible model for the time series of U.S. maritime salvage cases. Moreover, the results evince that prior cases decided by inferior courts have less influence than prior cases decided by superior courts
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