1,720,980 research outputs found
AMCA: Asymptotic Methods by Computer Algebra
No full textA REDUCE v 3.36 package written by Ruggero Bellio and Alessandra R. Brazzale that implements approximate conditional inference for several parametric models. The code is described in Bellio and Brazzale (2001) "A computer algebra package for approximate conditional inference" (Statistics and Computing, 11, 17-24)
hoa: Higher-Order Asymptotics
No full textA library of S-PLUS functions (and data) for higher-order asymptotic inference written by Alessandra R. Brazzale with the contribution of Ruggero Bellio
hoa: An R package bundle for higher order likelihood inference
No full textAn R package bundle for higher-order asymptotic inference written by Alessandra R. Brazzale with the contribution of Ruggero Bellio.The code is described in Brazzale, A.R. (2005) "hoa: An R package bundle for higher order likelihood inference" (R News, 5/1, 20-27). // The "hoa" package bundle contains four packages: 1) "cond" (approximate conditional inference for logistic and loglinear models); see Brazzale, A. R. (1999) "Approximate conditional inference in logistic and loglinear models" (JCGS, 8, 653-661; winner of the "1998 ASA Statistical Computing Section Student Paper Competition"); 2) "marg" (approximate conditional inference for linear nonnormal models); 3) "nlreg" (approximate conditional inference for nonlinear heteroscedastic models, joint with Ruggero Bellio); see Bellio, R. and Brazzale, A. R. (2003) "Higher-order asymptotics unleashed: Software design for nonlinear heteroscedastic models" (JCGS, 12, 682-697); 4) csampling (conditional sampling routines for regression-scale models); see Brazzale, A.R. (1999) "Conditional simulation for regression-scale models" (JISS, 8, 101-114)
glmmREML: An R package for REML-type inference in GLMMs
No full textR package for REML-type inference in GLMM
Restricted likelihood inference for generalized linear mixed models
No full textWe aim to promote the use of the modified profile likelihood for estimating the variance parameters of a GLMM in analogy to the REML criterion for linear mixed models. Our approach is based on both Quasi-Monte Carlo integration and numerical quadrature, obtaining in either case simulation-free inferential results. The method is illustrated for regression models with binary response and independent clusters, covering also the case of two-part models. Real-data examples and simulations studies support the use of the proposed solution as a natural extension of REML for GLMMs
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
Adjusted Quasi-Profile Likelihoods and Robustness
No full textAn adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresponding quasi-profile score has bias which is asymptotically negligible. Because of this, it is likely to provide accurate inferences with small samples or many nuisance parameters. An application to robust M-estimation is presented, which gives rise to a robust adjusted quasi-profile loglikelihood
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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