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A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models 总被引:1,自引:0,他引:1
Robin Thompson Brian Cullis Alison Smith Arthur Gilmour 《Australian & New Zealand Journal of Statistics》2003,45(4):445-459
Factor analytic variance models have been widely considered for the analysis of multivariate data particularly in the psychometrics area. Recently Smith, Cullis & Thompson (2001) have considered their use in the analysis of multi‐environment data arising from plant improvement programs. For these data, the size of the problem and the complexity of the variance models chosen to account for spatial heterogeneity within trials implies that standard algorithms for fitting factor analytic models can be computationally expensive. This paper presents a sparse implementation of the average information algorithm (Gilmour, Thompson & Cullis, 1995) for fitting factor analytic and reduced rank variance models. 相似文献
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The mean density of bacteria in a water body is commonly monitored using quantal assay. This paper describes the use of local scoring in estimating the spatial distribution of mean density from quantal assay results at a set of point locations. An application to estimating the mean density of fecal conform bacteria in a coastal pond is presented. Model diagnostics based on a parametric bootstrap are also presented. 相似文献
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Sudharshan Canagarajah Arthur Van Diesen 《Development policy review : the journal of the Overseas Development Institute》2006,24(6):647-667
It is over six years since the World Bank and the IMF started promoting a PRS approach to development management in low‐income countries. The 2005 review endorsed the approach, but highlighted the need for a renewed focus on the principles underpinning it: country ownership; results orientation; comprehensiveness; partnership focus; and long‐term outlook. Uganda is often hailed as one of the best PRS performers. This article finds that Uganda's Poverty Eradicaton Action Plan (PEAP) has brought significant gains to development management, but that its performance against several of the PRS principles is disappointing. A return to these principles could improve the practice of the government and development partners around the PEAP – a finding likely to be applicable to many countries implementing a PRS. 相似文献
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Abstract In this paper the robustness of Brass's child-survivorship indirect mortality estimation technique is investigated. An analytical method is developed for studying the error or bias caused in indirect mortality estimates by poor data, badly chosen model functions, and specific demographic assumptions that are often violated in practice. The resulting analytical expressions give insight into the rationale of indirect methods, the conditions under which they are robust, and the magnitude of errors that occur when specific assumptions are violated. 相似文献
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Galateia Terti Isabelle Ruin Jonathan J. Gourley Pierre Kirstetter Zachary Flamig Juliette Blanchet Ami Arthur Sandrine Anquetin 《Risk analysis》2019,39(1):140-161
This article focuses on conceptual and methodological developments allowing the integration of physical and social dynamics leading to model forecasts of circumstance‐specific human losses during a flash flood. To reach this objective, a random forest classifier is applied to assess the likelihood of fatality occurrence for a given circumstance as a function of representative indicators. Here, vehicle‐related circumstance is chosen as the literature indicates that most fatalities from flash flooding fall in this category. A database of flash flood events, with and without human losses from 2001 to 2011 in the United States, is supplemented with other variables describing the storm event, the spatial distribution of the sensitive characteristics of the exposed population, and built environment at the county level. The catastrophic flash floods of May 2015 in the states of Texas and Oklahoma are used as a case study to map the dynamics of the estimated probabilistic human risk on a daily scale. The results indicate the importance of time‐ and space‐dependent human vulnerability and risk assessment for short‐fuse flood events. The need for more systematic human impact data collection is also highlighted to advance impact‐based predictive models for flash flood casualties using machine‐learning approaches in the future. 相似文献