Results 21 to 30 of about 560,735 (220)
IEEE Access, 2020 The performance of a suspension system is affected by the behavior and posture of its components. However, published studies usually conduct this research using the based-equivalent model without considering the characteristic curves or postures. In this
Keren Chen +4 more
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Analysis of bivariate flow karyotypes [PDF]
Cytometry, 1989 AbstractBivariate flow karyotype analysis is performed using data from chromosomes stained with two fluorescent dyes, typically chromomycin A3 and Hoechst‐33258, and measured in a flow cytometer or cell sorter (Carrano et al.: Proceedings of the National Academy of Sciences of the United States of America 76:1382–1384, 1979; Gray et al.: Proceedings of
P N, Dean, S, Kolla, M A, Van Dilla
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Bivariate Flood Frequency Analysis Using Copulas
Proceedings, 2018 Flood frequency estimation for the design of hydraulic structures is usually performed as a univariate analysis of flood event magnitudes. However, recent studies show that for accurate return period estimation of the flood events, the dependence and the
Nikoletta Stamatatou +2 more
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Functional Location-Scale Model to Forecast Bivariate Pollution Episodes
Mathematics, 2020 Predicting anomalous emission of pollutants into the atmosphere well in advance is crucial for industries emitting such elements, since it allows them to take corrective measures aimed to avoid such emissions and their consequences.
Manuel Oviedo-de La Fuente +2 more
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Bivariate Marker Measurements and ROC Analysis [PDF]
Biometrics, 2012 SummaryThis article considers receiver operating characteristic (ROC) analysis for bivariate marker measurements. The research interest is to extend tools and rules from univariate marker to bivariate marker setting for evaluating predictive accuracy of markers using a tree‐based classification rule. Using an and–or classifier, an ROC function together
Wang, Mei-Cheng, Li, Shanshan
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Remote Sensing, 2023 Bivariate data-driven methods have been widely used in landslide susceptibility analysis. However, the names, principles, and correlations of bivariate methods are still confused.
Langping Li, Hengxing Lan
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Evaluation and comparison of bivariate and multivariate statistical methods for landslide susceptibility mapping (case study: Zab Basin) [PDF]
, 2012 Landslides are among the great destructive factors which cause lots of fatalities and financial losses all over the world every year. Studying of the factors affecting occurrence of landslides in a region and zoning the resulting damages will certainly ...
Ahmad, Baharin, Khezri, S., Shahabi, H.
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Pesquisa Agropecuária Brasileira, 2006 O objetivo deste trabalho foi estimar as correlações, herdabilidades, repetibilidades, tendências genéticas e fenotípicas, e avaliar as distribuições univariada e bivariada da produção de leite e do intervalo entre partos, em fêmeas bubalinas da raça ...
Alcides de Amorim Ramos +4 more
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Hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests [PDF]
, 2016 Copula mixed models for trivariate (or bivariate) meta-analysis of diagnostic test accuracy studies accounting (or not) for disease prevalence have been proposed in the biostatistics literature to synthesize information.
Aas K +28 more
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Environmental Research Letters, 2015 Interannual variation of Indian summer monsoon rainfall (ISMR) is linked to El Niño-Southern oscillation (ENSO) as well as the Equatorial Indian Ocean oscillation (EQUINOO) with the link with the seasonal value of the ENSO index being stronger than that ...
Sajani Surendran +3 more
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