Data:Methods - Globe Thesis

Keyword [Data:Methods] Result: 1 - 20 \| Page: 1 of 2
1.	Joint Inversion Of Seismic Body And Surface Wave Data:Methods And Applications
2.	Machine learning methods for microarray data analysis
3.	Missing data methods for clustered longitudinal data
4.	Statistical methods for analyzing 'omics data with emphasis on point-mass mixtures
5.	Detecting patterns of anomalies
6.	Empirical likelihood-based inference for multiple regression and treatment comparison
7.	Seismic exploration methods for hydrothermal dolomite reservoirs: A case study of the Trenton-Black River groups
8.	Cluster analysis of microarray data using the in-group proportion
9.	Statistical methods for complex disease analysis
10.	Application of chemostratigraphy of slackwater deposits to enhance paleoflood reconstruction, Rio Salado, Antofagasta region, Chile
11.	Regularized nonparametric logistic regression and kernel regularization
12.	Decision-making from on-farm experiments: Spatial analysis of precision agriculture data
13.	Comparing logistic regression methods for completely separated and quasi-separated dat
14.	Advanced and novel parametric and nonparametric likelihood statistical techniques with applications in epidemiology
15.	Geographic Modeling with One-Class Data
16.	Statistical and machine learning techniques for dealing with missing data in criminal justice: A simulation and comparison of missing data methods
17.	Inverse methods applied to space based remote sensing data: Methods and case studies
18.	Leveraging expression and network data for protein function prediction
19.	Estimation, model checking and diagnostics in finite mixture models for point mass data: Methods in a Bayesian framework
20.	Some Contributions to Middle-Censoring
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