Search Results - Matrix inversion.
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A method for estimating sampling variances of predicted probabilities from maximum likelihood estimates in logit response function
Published 1996“…The maximum likelihood parameters estimated in logistic analysis are in terms of a transformation of the original response variable and, although inferences are easily made about the sources of variation in the linearized model using standard procedures applied in regression analysis, the variance-covariance structure of the predicted probabilities obtained following back-transformation of logits is complex and estiamtion of sampling variances normally requires inversion of matrices and taking derivatives of the inverse of the link function evaluated at each prediction point. …”
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Journal Article -
Approximate sampling variances of maximum-likelihood probability estimates in a logit response function
Published 1997“…The maximum likelihood parameters estimated in logistic analysis are in terms of a transformation of the original response variable and, although inferences are easily made about the sources of variation in the linearized model using standard procedures applied in regression analysis, the variance-covariance structure of the predicted probabilities obtained following back-transformation of logits is complex and estimation of sampling variances normally require inversion of matrices and taking derivatives of the inverse of the link function evaluated at each prediction point. …”
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Conference Paper -
Multi-trait selection of female parents in Megathyrsus maximus using desired Gains Index Based on BLUPs
Published 2025“…Index weights were calculated using the inverse of the BLUP variance–covariance matrix, and individuals were ranked based on their index values. …”
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Informe técnico -
The long-run relationship between CO2 emissions and economic activity in a small open economy: Uruguay 1882 - 2010
Published 2020“…The changes in carbon dioxide emission are inversely related to the variation in the share of clean sources on total energy supply. …”
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Reporte técnico -
Improving the accuracy of genomic predictions in small holder crossed- bred dairy cattle
Published 2019“…The impact of utilizing the genomic relationship matrix (G) computed based on breedwise allele frequencies or different scaling factors on the accuracy of genomic prediction in cross-bred dairy cattle in smallholder systems was investigated. …”
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Conference Paper