1,720,981 research outputs found
Generalization of Huang's randomized response procedure for the estimation of population proportion and sensitivity level
No full textA generalization of Huang's (2004) randomized response procedure is proposed by adapting Franklin's (1989) and Singh and Singh's (1993) designs at the second stage. Asimple and effective implementation of the method is also introduced. The suggested procedure gives rise to accurate population proportion estimators and in addition permits the estimation of the sensitivity level
Simone Weil
No full textLa voce delinea l'opera e la vita di Simone Weil e comprende una bibliografia essenziale
A randomized response procedure for multiple-sensitive questions
No full textThe Randomized Response (RR) technique is a well-established interview
procedure which guarantees privacy protection in social surveys dealing with
sensitive items. The RR method assumes a stochastic mechanism to create uncertainty
about the true status of the respondents in order to ensure privacy protection and to
avoid tendencies to dissimulate or respond in a socially desirable direction. A very
general model for the RR method was introduced by Franklin (Commun Stat Theory
Methods 18:489–505, 1989)when a single-sensitive question is under study.However,
since social surveys are often based on questionnaires containing more than a singlesensitive
question, the analysis of multivariate RR data is of considerable interest.
This paper focuses on the generalization of the Franklin model in a multiple-sensitive
question setting and on related inferential issues
Design-Based Maps for Finite Populations of Spatial Units
No full textThe estimation of the values of a survey variable in finite populations of spatial units is considered for making maps when samples of spatial units are selected by probabilistic sampling schemes. The single values are estimated by means of an inverse distance weighting predictor. The design-based asymptotic properties of the resulting maps, referred to as the design-based maps, are considered when the study area remains fixed and the sizes of the spatial units tend to zero. Conditions ensuring design-based asymptotic unbiasedness and consistency are derived. They essentially require the existence of a pointwise or uniformly continuous density function of the survey variable onto the study area, some regularities in the size and shape of the units and the use of spatially balanced designs to select units. The continuity assumption can be relaxed into a Riemann integrability assumption when estimation is performed at a sufficiently small spatial grain and the estimates are subsequently aggregated at a greater grain. A computationally simple mean squared error estimator is proposed. A simulation study is performed to assess the theoretical results. An application to estimate the map of wine cultivations in Tuscany (Central Italy) is considered
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
Variations on the Author
Full text link“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
Full text linkWe 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
Statistical Analysis of the Hirsch Index
No full textThe Hirsch index (commonly referred to as h -index) is a biblio- metric indicator which is widely recognized as effective for measuring the scientific production of a scholar since it summarizes si ze and impact of the research output. In a formal setting, the h -index is actually an empirical functional of the distribution of the citation counts received by the scholar. Under this approach, the asymptotic theory for the empirica l h - index has been recently exploited when the citation counts f ollow a continuous distribution and, in particular, variance esti mation has been considered for the Pareto-type and the Weibull-type di stribu- tion families. However, in bibliometric applications, cit ation counts display a distribution supported by the integers. Thus, we p rovide general properties for the empirical h -index under the small- and large-sample settings. In addition, we also introduce consistent nonparametric va riance estimation, which allows for the implemention of large-sam ple set estimation for the theoretical h -inde
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