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Modeling the Dynamics of Avian Populations in Europe (1980–2019) through Generalized Additive Mixed Models
AbstractThe population abundance of birds is an important way to gauge the sustainability and health of the environment. However, several factors...
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Two new methods applied to crown width additive models: a case study for three tree species in Northeastern China
Key messageThe non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were applied for the...
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Position, size, and spatial patterns of bark strip** wounds inflicted by red deer (Cervus elavus L.) on Norway spruce using generalized additive models in Austria
Key messageBark strip** wounds by red deer ( Cervus elavus L.) were assessed on 9026 Norway spruce trees. Wound variables (length, width, area,...
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NetGAM: Using generalized additive models to improve the predictive power of ecological network analyses constructed using time-series data
Ecological network analyses are used to identify potential biotic interactions between microorganisms from species abundance data. These analyses are...
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Implications of additive × additive epistasis for common bean breeding
The presence of epistasis in complex traits can be significant and affect the selection of segregating populations undesirably. The purpose of this...
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Profile Estimation of Generalized Semiparametric Varying-Coefficient Additive Models for Longitudinal Data with Within-Subject Correlations
In this paper, we study several profile estimation methods for the generalized semiparametric varying-coefficient additive model for longitudinal...
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Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China
Quantifying the biomass of saplings in the regeneration component is critical for understanding biogeochemical processes of forest ecosystems....
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Generalized Linear Mixed Models for Longitudinal Microbiome Data
Chapter 16 investigated some general topics of generalized linear mixed-effects models (GLMMs). This chapter...
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Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models
Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy...
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Elements of Generalized Linear Mixed Models
Linear models are commonly used to describe and analyze datasets from different research areas, such as biological, agricultural, social, and so on....
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Generalized Linear Mixed Models for Categorical and Ordinal Responses
According to Agresti (2013), a multinomial distribution is a generalization of a binomial distribution in cases with more than two possible ordered...
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Comparison of various models for the estimation of heritability and breeding values
The exploration of additive genetic variance for the selection of animals is the central paradigm in quantitative genetics and it is important to use...
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The role of non-additive gene action on gene expression variation in plant domestication
BackgroundPlant domestication is a remarkable example of rapid phenotypic transformation of polygenic traits, such as organ size. Evidence from a...
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Genomic prediction of blood biomarkers of metabolic disorders in Holstein cattle using parametric and nonparametric models
BackgroundMetabolic disturbances adversely impact productive and reproductive performance of dairy cattle due to changes in endocrine status and...
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Additive Conditional Independence for Large and Complex Biological Structures
In this chapter, we describe a novel statistical relation called additive conditional independence (ACI) and review some of its applications to...
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Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation
Data-driven decision making in agriculture can be augmented by utilizing the data gathered from precision agriculture technologies to make the most...
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Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis
PurposeEpistasis, the interaction between two or more genes, is integral to the study of genetics and is present throughout nature. Yet, it is seldom...
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Functional and variables selection in extreme value models for regional flood frequency analysis
The problem of estimating return levels of river discharge, relevant in flood frequency analysis, is tackled by relying on the extreme value theory....
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Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds
BackgroundThe breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In...
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Sparse Phenoty** and Haplotype-Based Models for Genomic Prediction in Rice
The multi-environment genomic selection enables plant breeders to select varieties resilient to diverse environments or particularly adapted to...
