Small area prediction of quantiles for zero-inflated data and an informative sample design
Statistical Theory and Related Fields, 2019 The Conservation Effects Assessment Project (CEAP) is a survey intended to quantify soil and nutrient loss on cropland. Estimates of the quantiles of CEAP response variables are published.
Emily Berg, Danhyang Lee
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Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models [PDF]
, 2014 1.Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R2 to apply to generalized linear mixed models (GLMMs). However, their R2GLMM method is restricted to models with the simplest random effects structure, known as random ...
Johnson, Paul C.D.
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Species Distribution Modeling: Comparison of Fixed and Mixed Effects Models Using INLA
ISPRS International Journal of Geo-Information, 2017 Invasive alien species are among the most important, least controlled, and least reversible of human impacts on the world’s ecosystems, with negative consequences affecting biodiversity and socioeconomic systems. Species distribution models have become a
Lara Dutra Silva +3 more
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Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits [PDF]
, 2014 A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications.
Labouriau, Rodrigo +2 more
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Bench Plot and Mixed Effects Models: First steps toward a comprehensive benchmark analysis toolbox [PDF]
, 2008 Benchmark experiments produce data in a very specific format. The observations are drawn from the performance distributions of the candidate algorithms on resampled data sets.
Eugster, Manuel J. A., Leisch, Friedrich
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Estimating vital rate variation to assess early success of scrub mint translocations
Conservation Science and Practice, 2023 Species translocations are increasingly common in rare plant conservation. Wild populations can provide basic ecological knowledge to improve their chance of success.
Stephanie M. Koontz +5 more
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Derivative Computations and Robust Standard Errors for Linear Mixed Effects Models in lme4 [PDF]
, 2017 While robust standard errors and related facilities are available in R for many types of statistical models, the facilities are notably lacking for models estimated via lme4.
Merkle, Edgar C., Wang, Ting
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Linear Mixed Models with Marginally Symmetric Nonparametric Random Effects
, 2016 Linear mixed models (LMMs) are used as an important tool in the data analysis of repeated measures and longitudinal studies. The most common form of LMMs utilize a normal distribution to model the random effects.
McLachlan, Geoffrey J., Nguyen, Hien D.
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Strong Evidence for an Intraspecific Metabolic Scaling Coefficient Near 0.89 in Fish
Frontiers in Physiology, 2019 As an example of applying the evidential approach to statistical inference, we address one of the longest standing controversies in ecology, the evidence for, or against, a universal metabolic scaling relationship between metabolic rate and body mass ...
Christopher L. Jerde +7 more
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Evolutionary Applications, 2021 Ecological and evolutionary research questions are increasingly requiring the integration of research fields along with larger data sets to address fundamental local‐ and global‐scale problems.
Daniel W. A. Noble, Shinichi Nakagawa
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