Results 81 to 90 of about 167,561,462 (173)
ABSTRACT The present study was conducted to determine the distinct gut bacteriome diversity and composition in Hilsa Shad (Tenualosa ilisha), a biologically, nutritionally and economically significant species, across different habitats using next‐generation sequencing.
Niger Sultana Bably +6 more
wiley +1 more source
Testing for Genetic Interactions in Complex Disease With Distance Correlation
ABSTRACT Understanding epistasis (genetic interaction) may shed some light on the genomic basis of common diseases, including disorders of maximum interest due to their high socioeconomic burden, like schizophrenia. Distance correlation is an association measure that characterizes general statistical independence between random variables, not only the ...
Fernando Castro‐Prado +4 more
wiley +1 more source
Heteroskedasticity and Spatiotemporal Dependence Robust Inference for Linear Panel Models with Fixed Effects [PDF]
This paper studies robust inference for linear panel models with fixed effects in the presence of heteroskedasticity and spatiotemporal dependence of unknown forms.
Min Seong Kim, Yixiao Sun
core
ABSTRACT In survival data analysis, the stratified Cox model becomes a popular option when the proportional hazards assumption of the conventional Cox model does not hold for certain covariates. For a stratified Cox model, when the observed survival times contain only right censoring, the method of maximum partial likelihood can still be implemented ...
Jun Ma +3 more
wiley +1 more source
Local rank tests in a multivariate nonparametric relationship [PDF]
Consider a multivariate nonparametric model where the unknown vector of functions depends on two sets of explanatory variables. For a fixed level of one set of explanatory variables, we provide consistent statistical tests, called local rank tests, to ...
Natércia Fortuna
core
Nonparametric Predictive Inference for Acceptance Decisions [PDF]
This thesis presents new solutions for two acceptance decisions problems. First, we present methods for basic acceptance sampling for attributes, based on the nonparametric predictive inferential approach for Bernoulli data, which is extended for this ...
ELSAEITI, MOHAMED
core
Mixtures of Neural Network Experts With Application to Phytoplankton Flow Cytometry Data
ABSTRACT Flow cytometry is a valuable technique that measures the optical properties of particles at a single‐cell resolution. When deployed in the ocean, flow cytometry allows oceanographers to study different types of photosynthetic microbes called phytoplankton.
Ethan Pawl +3 more
wiley +1 more source
Group‐Specific Nonlinear Mixed Effects Models for Longitudinal Data With Realignment of Time
ABSTRACT We propose group‐specific nonlinear mixed effects models for longitudinal data whose indexing time is right‐aligned to specific events, modeled as the time preceding those events. These models are motivated by dementia cohort studies that examine nonlinear trajectories of longitudinal cognitive test scores in late life, with separate ...
Ziyue Liu, Sujuan Gao
wiley +1 more source
Feasible Multivariate Nonparametric Estimation Using Weak Separability [PDF]
One of the main practical problems of nonparametric regression estimation is the curse of dimensionality. The curse of dimensionality arises because nonparametric regression estimates are dependent variable averages local to the point at which the ...
Joris Pinkse
core
Abstract Spain is the largest European producer of mussels for human consumption, and this production depends heavily on mussel seed availability. However, multiple environmental factors make it difficult to accurately predict the timing for deploying seed‐collector ropes, posing a challenge in seed supply and production management.
Maria PosadaGarcia +4 more
wiley +1 more source

