1,721,821 research outputs found
Un tasso di sconto per le praterie di Posidonia Oceanica. A Discount rate for the Posidonia Oceanica Meadows
No full textUrokinase-type plasminogen activator and its receptor: new targets for anti-metastatic therapy?
No full textDepittaggio e ricondizionamento di DTM da dati LiDAR per l’aggiornamento dei tematismi territoriali
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Studio delle caratteristiche radiative di arrays di antenne integrate a microstriscia funzionanti nella banda 10-20 GHz (1a Relazione intermedia), Contratto di ricerca Selenia Spazio S.p.A. N.B3060590/COMM.6381, Roma, 20 Luglio 1985
No full textA selective view of climatological data and likelihood estimation
Full text linkThis article gives a narrative overview of what constitutes climatological data and their typical features, with a focus on aspects relevant to statistical modeling. We restrict the discussion to univariate spatial fields and focus on maximum likelihood estimation. To address the problem of enormous datasets, we study three common approximation schemes: tapering, direct misspecification, and composite likelihood for Gaussian and nonGaussian distributions. We focus particularly on the so-called 'sinh-arcsinh distribution', obtained through a specific transformation of the Gaussian distribution. Because it has flexible marginal distributions - possibly skewed and/or heavy-tailed - it has a wide range of applications. One appealing property of the transformation involved is the existence of an explicit inverse transformation that makes likelihood-based methods straightforward. We describe a simulation study illustrating the effects of the different approximation schemes. To the best of our knowledge, a direct comparison of tapering, direct misspecification, and composite likelihood has never been made previously, and we show that direct misspecification is inferior. In some metrics, composite likelihood has a minor advantage over tapering. We use the estimation approaches to model a high-resolution global climate change field. All simulation code is available as a Docker container and is thus fully reproducible. Additionally, the present article describes where and how to get various climate datasets. (c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND licens
Studio delle caratteristiche radiative di arrays di antenne integrate a microstriscia funzionanti nella banda 10-20 GHz, (Rapporto Finale), Contratto di ricerca Selenia Spazio S.p.A. N.B3060590/COMM.6381, Roma, 20 Febbraio 1986
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