1,720,992 research outputs found
Controlling the bias for M-quantile estimators for small areas
Get PDFIn this paper we propose two bias correction approaches in order to reduce the prediction bias of the robust M-quantile predictors in small area estimation in the presence of representative outliers. A Monte-Carlo simulation study is conducted. Results confirm that our approaches improve the efficiency and reduce the prediction bias of M-quantile predictors when the population contains units that may be influential if selected in the sample
Bayesian approach for addressing multiple objectives in poverty research for small areas.
Get PDFNowadays the information extracted from data should be the key to good policy, therefore, analysts must make the best possible use of all available information. However, data availability often is limited by cost or for other reasons. Consequently, there is the need to use data from different sources. Our goals are to develop hierarchical models and to demonstrate their ability to improve inferences about quantities for which there are meager data. When a hierarchical model can be found to represent the situation properly, analysis of that model often can be used to extract most or all of the relevant information and so provide the best possible estimates. The application considered will include small area estimation in the context of the EU Statistics on Income and Living Conditions. In developing the hierarchical model, we use together survey data and population registers. As for the implementation of the hierarchical model, we propose to use Bayesian methodology assisted by Monte Carlo Markov Chai
Estimation of life expectancy in small areas using big data from the municipal registry
No full textGiven the importance of knowing life expectancy, with less aggregation than provincial level, the paper aims to estimate it for municipal and sub-municipal areas, by means of big data from Registry of Municipal Census Office. The UN approved the 2030 Agenda, with 169 Sustainable Development Goals in 17 domains, placing in SDG 3 (Health and wellbeing) as many as 6 goals for mortality reduction out of 9 total and for improvement of life expectancy at birth and healthy life. We highlight the validity of a tool, such as the real-time mortality observatory, which we have been designing for some years as a support to both medicine and criminal justice, as an alternative to the classic epidemiological analysis and appraisals based on outdated information. For Taranto city, where the environmental pressure is very strong, different statistical sources can be used to shorten these waiting times compared to ecological and epidemiological studies based on official data which have a longer circuit
Estimation of life expectancy in small areas using big data from the municipal registry
No full textGiven the importance of knowing life expectancy, with less aggregation than provincial level, the paper aims to estimate it for municipal and sub-municipal areas, by means of big data from Registry of Municipal Census Office. The UN approved the 2030 Agenda, with 169 Sustainable Development Goals in 17 domains, placing in SDG 3 (Health and wellbeing) as many as 6 goals for mortality reduction out of 9 total and for improvement of life expectancy at birth and healthy life. We highlight the validity of a tool, such as the real-time mortality observatory, which we have been designing for some years as a support to both medicine and criminal justice, as an alternative to the classic epidemiological analysis and appraisals based on outdated information. For Taranto city, where the environmental pressure is very strong, different statistical sources can be used to shorten these waiting times compared to ecological and epidemiological studies based on official data which have a longer circuit
Flexible Small Area Estimation of Theil Index using Mixtures of Beta
No full textThe aim of the paper is to propose a small area estimation model
for Theil Index, an entropy-based measure used to quantify economic
inequality, industrial concentration and, in general, the disparity related
to economic phenomena. We developed an area-level model of its relative
index, i.e. Theil index over its maximum, which has a more manageable
support between 0 and 1. Classical proposals in area-level context for
measures on (0,1) are mostly based on proportions modelling and show
limitations when dealing with asymmetric heavy-tailed data, such as in
our case. We propose a model with alternative distributional assumptions
based on a particular Beta mixture with unconstrained mean modeling,
estimated under a Hierarchical Bayes approach. An application to ITSILC income data is provided, showing that our proposal yields a more
flexible framework in comparison with Beta regression with unmatched
sampling and linking models
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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