1,720,984 research outputs found
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
A Monetary Model of Inflation for Bangladesh, 1974-1985
No full textA model of inflation for Bangladesh is developed and estimated
for the period 1974:2-1985 :4, in line with the monetary approach and
based on the hypothesis that any disequilibrium in the real money-market
adjusts itself through changes in the price level, but not
instantaneously. Changes in the prices oftraded gooas in the
international market, real permanent income, real money stock, one
period lagged rate of inflation, and changes in the terms of trade
between traded and non-traded goods are found to be the major
determinants of inflation in Bangladesh
Impact of Inflation on Fiscal Deficits in the Bangladesh Economy
No full textThis paper investigates the two-way relationship between
fiscal deficits and inflation in Bangladesh's economy. A dynamic model
containing inflation and equations concerning government revenue and
development expenditures has been constructed and estimated, using
quarterly data over the 1974(11)-1983(11) period. Estimates of
adjustment parameters support the basic hypothesis that in Bangladesh
government expenditures adjust themselves to inflation more rapidly than
government revenues and increase the size of fiscal deficits during
inflation. An implication of this result is that inflation-induced
fiscal deficits (if financed by money creation) may generate a
self-sustaining inflationary process in a developing country like
Bangladesh
Multivariate Joint Models and Dynamic Predictions
Get PDFThe joint modeling of longitudinal and time-to-event data is an active area of statistical research that has received a lot of attention. The standard joint models, referred to as univariate joint models, allow simultaneous modeling of a single longitudinal outcome and a single time-to-event under an assumption of independent censoring. The majority of the joint modeling research in the last two decades has focused on extending and improving the univariate joint models. While many of the practical applications involve data on multivariate longitudinal outcomes and multiple timeto- events possibly informatively censored by some other terminal time-to-event, the developments of joint models to analyze such complex data structure have not received deserved attention. One other area of statistical joint modeling methods that remained understudied is the joint analysis of multivariate longitudinal outcomes and multiple ordered time-to-events. The joint models for recurrent events in existing literature can be applied to analyze ordered time-to-events of the same type under an assumption that all occurrences of the time-to-event are homogeneously influenced by the covariates. However, in problems of ordered time-to-events of different types or of the same kind where different occurrences may be impacted differently by the covariates, the current methods may not be applied. Given the limitations in the existing body of joint modeling literature, this research work aims to present joint modeling extensions with the potentials of filling in the noted literature gaps.
In Chapter 2 of this dissertation, we presented a shared parameters Bayesian latent trait joint frailty model for analyzing multivariate longitudinal outcomes and multiple unordered non-terminal time-to-events in the presence of a terminal event inducing dependent right censoring. We adopted a semiparametric latent trait generalized mixed-effects approach to define the longitudinal submodel. Semiparametric hazard regression models are used to model the non-terminal and terminal time-to-event risks with multivariate non-terminal event frailties to account for the inter-event associations. Chapter 4 introduces an extension of the joint model presented in Chapter 2 for multivariate longitudinal outcomes and multiple ordered time-to-events. For both the proposed models, Bayesian approaches of parameter estimation are discussed, and Bayesian Monte Carlo Markov Chain (MCMC) dynamic prediction algorithms for longitudinal outcomes and time-to-event risks are outlined. The finite sample performances of the parameter estimation methods and dynamic prediction algorithms are studied through statistical simulations for both the proposed models.
Before presenting the joint frailty model for multiple ordered time-to-events in Chapter 4, we revisited a long-studied problem of estimating the survival functions for multiple ordered time-to-events in Chapter 3. Given the complexities and unbecomingness under certain assumptions of the current methods, we discussed two straightforward and easy to compute approaches of estimating survival functions of multiple ordered time-to-events. The first approach is non-parametric, based on Kaplan-Meier survival estimates, and assumes independence between the consecutive event times to estimate the marginal survival curves. The second approach is fully parametric, assumes the consecutive event gap times to be log-normally distributed, and estimates the marginal and conditional survival functions when the consecutive event times may not be expected to be independent. Simulations studies were performed to evaluate the finite sample properties of both the non-parametric and parametric approaches at different sample sizes and censoring rates. In addition to the extensive simulation studies, we have demonstrated applications of all the proposed joint models, and survival function estimation approaches using statewide surveillance data from South Carolina (SC) HIV/AIDS patients
Monetary Disequilibrium and Inflation: A Monetary Model of Inflation in Pakistan, 1963-82
No full textThis paper develops and estimates a monetary model of
inflation in Pakistan over the 1963 -82 period. Both domestic and
external factors are identified as the major determinants of inflation.
Dynamic simulation results suggest that the model is able to track the
fluctuations of endogenous variables and, most importantly, the
inflation explosion during the 1970s is clearly predicted by the
inflation equation
AN IMPORT DEMAND FUNCTION FOR FOODGRAINS: SOME RESULTS FROM BANGLADESH DATA
Get PDFThis paper estimates an import demand function for foodgrains into Bangladesh during the period 1974 (I)-1985(I). An important finding is that the income elasticity of the demand for imports of foodgrains exceeds unity. The empirical results also suggest that in Bangladesh, the imports of foodgrains are price inelastic. A dynamic simulation test suggests a good-fit of the import demand function and importantly, the estimated equation is able to track the wide fluctuations of the imports of foodgrauis reasonably well
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
Experimental study on the interface behavior between unsaturated completely decomposed granite soil and cement grout
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