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Collection: Electronic Theses & Dissertations
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Material Type: Theses
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Language: English
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Degree Level: Doctoral
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Subject: Statistics
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Achievement tests--Evaluation
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Agriculture
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1
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1
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1
Arbitrage
1
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2
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1
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2
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2
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1
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1
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1
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1
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1
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1
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1
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1
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1
Data sets
1
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2
Depression in adolescence
1
Diffusion tensor imaging
1
Disease susceptibility--Genetic aspects
1
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2
Economics
1
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1
Educational evaluation
2
Educational psychology
1
Educational tests and measurements
1
Educational tests and measurements--Methodology
1
Electrical engineering
1
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1
Ergodic theory
1
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3
Evaluation
2
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1
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1
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1
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1
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1
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2
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1
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1
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1
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1
Information technology
1
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1
Item response theory
1
Kernel functions
1
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1
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1
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1
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1
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1
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2
Mathematics
2
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1
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1
Middle school teachers
1
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1
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1
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1
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3
Nucleotide sequence
1
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1
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1
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1
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1
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1
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2
Quantitative research
1
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1
Sampling (Statistics)
1
Scattering (Mathematics)
1
Scheduled tribes in India--Psychology
2
Self-evaluation
1
Sensitivity theory (Mathematics)
1
Sequential analysis
1
Signal processing--Mathematics
1
Spatial ecology
1
Statistical decision
1
Statistics--Databases
1
Statistics--Evaluation
1
Statistics--Methodology
1
Structural equation modeling
1
Support vector machines
1
Wavelets (Mathematics)
1
Youth with autism spectrum disorders
1
Zoology
1
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Continuous time arbitrage approached as a problem in constrained hedging
Demopolos, James Andre
Text (1999)
Part of
Electronic Theses & Dissertations
Extended ensemble estimation : a tool for sensitivity analysis for researchers
Tait, Jordan
Text (2022)
Part of
Electronic Theses & Dissertations
Statistical methods for single cell gene expression : differential expression, curve estimation and graphical modelling
Saha, Satabdi
Text (2022)
Part of
Electronic Theses & Dissertations
CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES
Son, Mookyong
Text (2023)
Part of
Electronic Theses & Dissertations
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
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
MACHINE LEARNING BASED EFFICIENT AUTOMATED NDE METHODS FOR DEFECT DIAGNOSTICS
Mukherjee, Subrata
Text (2023)
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
Machine learning towards data with complex structures
Su, Runze
Text (2022)
Part of
Electronic Theses & Dissertations
Bayesian uncertainty quantification of computer models with efficient calibration and computation
Kejzlar, Vojtech
Text (2020)
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
Introducing sparsity into selection index methodology with applications to high-throughput phenotyping and genomic prediction
Lopez Cruz, Marco Antonio
Text (2020)
Part of
Electronic Theses & Dissertations
Wiener-chaos analysis on Bayesian models with applications in agriculture and climatology
Wang, Han
Text (2020)
Part of
Electronic Theses & Dissertations
Quantifying the bias of standard error estimates due to omitted cluster levels in complex multilevel data : a sensitivity analysis for empirical researchers
Chen, Zixi
Text (2020)
Part of
Electronic Theses & Dissertations
Bootstrap based hypothesis testing for high-dimensional data
Chakraborty, Nilanjan
Text (2022)
Part of
Electronic Theses & Dissertations
Exploring low-rank prior in high-dimensional data
Lyu, He
Text (2023)
Part of
Electronic Theses & Dissertations
MEDIATION ANALYSIS FOR CASE-CONTROL STUDIES WITH SECONDARY AND TERTIARY OUTCOMES
Cao, Zichun
Text (2023)
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
Development and application of hierarchical models for monitoring avian soundscapes, populations, and communities
Doser, Jeffrey W.
Text (2022)
Part of
Electronic Theses & Dissertations
Variational bayes deep neural network : theory, methods and applications
Liu, Zihuan
Text (2021)
Part of
Electronic Theses & Dissertations
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