Ash Abebe

Professor

Auburn University

United States

Research Interests

Explore related searches

Professors in United States Professors in Statistics Statistics professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Ash Abebe is a Professor at Auburn University in the United States. His research interests encompass environmental science and animal behavior, with recent publications focusing on topics such as rainfall extremes in the Indian Summer Monsoon and the application of sediment fingerprinting using machine learning models. Additionally, he explores psychological stress in educational settings and the dynamics of wildlife populations, including studies on Aedes aegypti mosquitoes and Columbian ground squirrels.

Articles (18)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

FRANCE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ash Abebe

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Rising risk and localized patterns of Indian Summer Monsoon rainfall extremes

Exploring Undergraduate Students’ Psychological Stress in the Mathematics Classroom with Fitness Trackers

How much multiple paternity should we expect? A study of birds and contrast with mammals

APPLICATION OF SEDIMENT FINGERPRINTING TO APPORTION SEDIMENT SOURCES: USING MACHINE LEARNING MODELS

Effect of age on wingbeat frequency of Aedes aegypti and potential application for age estimation of mosquitoes

Impact of individual and combined influence of large-scale climatic oscillations on Indian summer monsoon rainfall extremes

Capturing spatiotemporal dynamics of Alaskan groundfish catch using signed-rank estimation for varying coefficient models

Varying coefficient single-index regression model with missing responses under rank-based modelling

Territorial scent-marking effects on vigilance behavior, space use, and stress in female Columbian ground squirrels

Corrigendum: “Territorial scent-marking effects on vigilance behavior, space use, and stress in female Columbian ground squirrels” (Hormones and Behavior (2022) 139, (105111), (S0018506X22000058), (10.1016/j.yhbeh.2022.105111))

Exploring the relationship between production intensity and land use: A meta-analytic approach with shrimp aquaculture

Effect of ENSO modulation by decadal and multi-decadal climatic oscillations on contiguous United States streamflows

Predicting microcystin occurrence in freshwater lakes and reservoirs: assessing environmental variables

Robust functional coefficient selection for the single-index varying coefficients regression model

Multiple paternity and the number of offspring: A model reveals two major groups of species

Regularised rank quasi-likelihood estimation for generalised additive models

Disparities in all-cause mortality with potentially inappropriate medication use: Analysis of the Reasons for Geographic and Racial Differences in Stroke study

On optimizing a MODIS-based framework for in-season corn yield forecast

Collaborators (5)

Alan Wilson

Hannah Correia

F. Stephen Dobson

Tahir Bachar Issa

Vincent A. Viblanc

Make your next move.