Results 31 to 40 of about 291,054 (244)
Determinants of Nutrient Demand: A Nonparametric Analysis
Journal of Agricultural and Resource Economics, 1995 The influence of socioeconomic variables on nutrient intake is studied using nonparametric procedures that admit estimation of multivariate functions. The analysis indicates a nonlinear relation between intake, age, education, and income.
Cyrus A. Ramezani
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Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers. [PDF]
PLoS ONE, 2012 Non-additive genetic variation is usually ignored when genome-wide markers are used to study the genetic architecture and genomic prediction of complex traits in human, wild life, model organisms or farm animals. However, non-additive genetic effects may
Guosheng Su +4 more
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Projective cluster-additive transformation for quantum lattice models
SciPost Physics, 2023 We construct a projection-based cluster-additive transformation that block-diagonalizes wide classes of lattice Hamiltonians $\mathcal{H}=\mathcal{H}_0 +V$.
Max Hörmann, Kai P. Schmidt
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The role of additive manufacturing in the investment casting process [PDF]
E3S Web of Conferences, 2023 The aim of this study was to systematically describe the additive manufacturing (AM) technologies used for various casting technologies and how rapid investment casting (RIC) is changing the field of casting.
Ripetskiy A.V. +2 more
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Functional Additive Mixed Models [PDF]
Journal of Computational and Graphical Statistics, 2015 26 pages, 8 ...
Scheipl, Fabian +2 more
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BMC Genomic Data, 2023 Background Non-additive genetic effects are often ignored in livestock genetic evaluations. However, fitting them in the models could improve the accuracy of genomic breeding values.
Letícia Fernanda de Oliveira +7 more
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Bayesian explanatory additive IRT models
British Journal of Mathematical and Statistical Psychology, 2021 In this article we extend the framework of explanatory mixed IRT models to a more general class called explanatory additive IRT models. We do this by augmenting the linear predictors in terms of smooth functions. This development offers many new modeling options such as the inclusion of nonlinear covariate effects, the specification of various temporal
Patrick Mair, Kathrin Gruber
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Increasing cassava root yield: Additive-dominant genetic models for selection of parents and clones
Frontiers in Plant Science, 2022 Genomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined with genetic models in clone and parent selection with
Luciano Rogério Braatz de Andrade +9 more
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Additive Dose Response Models: Defining Synergy
Frontiers in Pharmacology, 2019 In synergy studies, one focuses on compound combinations that promise a synergistic or antagonistic effect. With the help of high-throughput techniques, a huge amount of compound combinations can be screened and filtered for suitable candidates for a ...
Simone Lederer +3 more
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‘Additive difference’ models without additivity and subtractivity [PDF]
Journal of Mathematical Psychology, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bouyssou, Denis, Pirlot, Marc
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