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Hierarchical models for small area estimation using zero-inflated forest inventory variables : comparison and implementation
White, Grayson W.
Text (2025)
Part of
Electronic Theses & Dissertations
NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES
Zhang, Shan
Text (2021)
Part of
Electronic Theses & Dissertations
Novel methods for functional data analysis with applications to neuroimaging studies
Niyogi, Pratim Guha
Text (2022)
Part of
Electronic Theses & Dissertations
City of Walled Lake Informational Portfolio
Text (1985)
Part of
Making of Modern Michigan
INTEGRATIVE LEARNING OF CELLULAR SYSTEMS AND NETWORKS
Venegas, Julian D.
Text (2024)
Part of
Electronic Theses & Dissertations
Supervised dimension reduction techniques for high-dimensional data
Molho, Dylan
Text (2022)
Part of
Electronic Theses & Dissertations
Continuous time arbitrage approached as a problem in constrained hedging
Demopolos, James Andre
Text (1999)
Part of
Electronic Theses & Dissertations
A LATENT STATE-TRAIT MODEL FOR MULTILEVEL MEDIATION ANALYSIS WITH MULTIPLE TIMEPOINTS
Bradford, Lydia
Text (2024)
Part of
Electronic Theses & Dissertations
Machine learning towards data with complex structures
Su, Runze
Text (2022)
Part of
Electronic Theses & Dissertations
First order allocation
Noble, William
Text (1991)
Part of
Electronic Theses & Dissertations
A DEEP NEURAL NETWORK METHODOLOGY FOR TIMELINE MONITORING OF BRIDGES USING DRONES
gajapaka, sai mohan
Text (2025)
Part of
Electronic Theses & Dissertations
LEARNING THE INTRINSIC DIMENSION OF COMPLEX LARGE DATASETS
Weaver, Joseph M.
Text (2024)
Part of
Electronic Theses & Dissertations
THREE RESEARCH TOPICS IN EDUCATION : (1) ASSOCIATIONS BETWEEN APPROACHES TO LEARNING AND ACADEMIC ACHIEVEMENT; (2) A META- ANALYTIC REVIEW ON APPROACHES TO LEARNING AND ACADEMIC ACHIEVEMENT; (3) POWER ANALYSIS IN META-ANALYSIS: A THREE-LEVEL MODEL
Zhang, Bixi
Text (2021)
Part of
Electronic Theses & Dissertations
Exploring low-rank prior in high-dimensional data
Lyu, He
Text (2023)
Part of
Electronic Theses & Dissertations
Topological Data Analysis Driven Feature Generation in Machine Learning Models
Barnes, Danielle
Text (2024)
Part of
Electronic Theses & Dissertations
An in-service middle school teacher's content knowledge of the variability of data distributions
Turini, Marie Pia
Text (2011)
Part of
Electronic Theses & Dissertations
Extended ensemble estimation : a tool for sensitivity analysis for researchers
Tait, Jordan
Text (2022)
Part of
Electronic Theses & Dissertations
Using machine learning to uncover population heterogeneity in longitudinal study
Lee, Youngjun
Text (2022)
Part of
Electronic Theses & Dissertations
Advancing the Science of Invasive Sea Lamprey Integrated Pest Management Using Population Dynamics Modeling and Decision Analysis
Lewandoski, Sean Alois
Text (2023)
Part of
Electronic Theses & Dissertations
Inter-rater agreement in autism spectrum disorder for anxiety, depression, and broad internalizing symptoms : a meta-analysis
Youngdahl, Janelle
Text (2020)
Part of
Electronic Theses & Dissertations
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