Results 31 to 40 of about 560,735 (220)

A Bayesian-Model-Averaging Copula Method for Bivariate Hydrologic Correlation Analysis

open access: yesFrontiers in Environmental Science, 2022
A Bayesian-model-averaging Copula (i.e., BMAC) approach was proposed for correlation analysis of monthly rainfall and runoff in Xiangxi River watershed, China. The BMAC approach was formulated by incorporating existing Bayesian model averaging (i.e., BMA)
Yizhuo Wen   +3 more
doaj   +1 more source

Genes influencing milk production traits predominantly affect one of four biological pathways

open access: yesGenetics Selection Evolution, 2008
In this study we introduce a method that accounts for false positive and false negative results in attempting to estimate the true proportion of quantitative trait loci that affect two different traits.
Goddard Michael   +2 more
doaj   +1 more source

Análise multidimensional de consórcios cenoura-alface sob diferentes combinações de densidades populacionais Multidimensional analysis of carrot-lettuce intercroppings under different combinations of population densities

open access: yesPesquisa Agropecuária Brasileira, 2007
Este trabalho teve como objetivo avaliar o desempenho biológico de sistemas consorciados de cenoura e alface, sob diferentes combinações de densidades populacionais, com uso das análises bivariada de variância e envoltória de dados (DEA).
Francisco Bezerra Neto   +3 more
doaj   +1 more source

Analysis of Some Linear Dynamic Systems with Bivariate Wavelets [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2019
There are many statistical methods related to the forecasting of time series without any input variables such as autoregressive integrated moving average (ARIMA models).
Taha Hussein Ali, Mardin Samir Ali
doaj   +1 more source

Financial and functionality analysis of a biogas plant in Bangladesh

open access: yesHeliyon, 2022
Installation of a biogas plant in a rural region has become a viable alternative energy source with a variety of health and environmental advantages.
Dilruba Bedana   +4 more
doaj   +1 more source

A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence [PDF]

open access: yes, 2015
A bivariate copula mixed model has been recently proposed to synthesize diagnostic test accuracy studies and it has been shown that it is superior to the standard generalized linear mixed model in this context.
Aas K   +41 more
core   +2 more sources

Application of bivariate meta-analytic approach for pooling effect measures of correlated multiple outcomes in medical research

open access: yesClinical Epidemiology and Global Health, 2022
Background: Multivariate meta-analysis is used when multiple correlated outcomes are reported in a systematic review. This study explored the application of multivariate meta-analysis in such a context. The objectives of the present study were to compare
Deepthy M.S.   +4 more
doaj   +1 more source

A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution [PDF]

open access: yes, 2015
Diagnostic test accuracy studies typically report the number of true positives, false positives, true negatives and false negatives. There usually exists a negative association between the number of true positives and true negatives, because studies that
Arends   +51 more
core   +2 more sources

THE ANALYSIS OF PROFESSIONAL IMPROVEMENT PROCESS BY ECONOMETRIC METHODS [PDF]

open access: yesAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2013
A problem of today organizations is to adapt to rapid changes taking place in society, and this can not be donewithout giving special attention to human capital and intangible goods (knowledge, information, creativity).
TESELIOS DELIA   +2 more
doaj  

Bivariate Entropy Analysis of Electrocardiographic RR–QT Time Series

open access: yesEntropy, 2020
QT interval variability (QTV) and heart rate variability (HRV) are both accepted biomarkers for cardiovascular events. QTV characterizes the variations in ventricular depolarization and repolarization. It is a predominant element of HRV.
Bo Shi   +4 more
doaj   +1 more source

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