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This approach of binary logistic regression had been used in prior study by Ambos et al. (2008) on the factors affecting the commercial output of academic research, also coded as a binary variable.
In this work, we consider a threshold approach of binary, ordinal, and censored Gaussian observations for Bayesian multilocus association models and Bayesian genomic best linear unbiased prediction and present a high-speed generalized expectation maximization algorithm for parameter estimation under these models.
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A multi-fluid computational fluid dynamics (CFD) model based on kinetic theory of granular flow and Eulerian Eulerian approach for binary mixture of particles was presented.
A matrix of 22 mixtures was developed using this statistical approach for binary fuel blends of 100% methane to 100% ethane; pressure ranges of 1, 11 16, and 25 31 atm; equivalence ratios of 0.5, 1.0, and 2.0; over a temperature range of 1154 2248 K, and argon dilutions of 98%, 95 %, 85, and 75%.
For all other outcomes we used the random effects approach for binary data of DerSimonian and Laird, where τ2 was estimated with the inverse variance method.
Fig. 6 Memory removal via decision feedback equalization: a symbol error probability of MFT-ESA approach for binary CPFSK with zero-forcing and MMSE decision feedback equalization to remove memory induced due to partial response signaling and b symbol error probability for multilevel CPFSK with zero-forcing and MMSE decision feedback equalization.
A new approach to evaluation of binary test results when checking a one-dimensional ability is proposed.
Our COSMO-based approach is free of binary interaction parameters and requires only molecular volumes and molecule-specific charge density distributions called sigma profiles for the estimation of solution properties.
Using this approach, a set of binary SVMs is created, each of which separates the samples of one class (positive examples) from all remaining training data (negative examples).
In a second approach, the initiation of binary complex formation of the HCV-polymerase with the 3′SL RNA was monitored by 1D H NMR spectroscopy.
We also provide details of the theoretical underpinnings and comparative analysis of Bayesian approaches to binary and multi-level trust, to automatically determine trustworthiness in a variety of reputation systems including those used in sensor networks, e-commerce, and collaborative environments.
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