Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 275 for “"randomization"”.
-
Robust methods in Mendelian randomization
Mendelian randomization uses genetic variants as instrumental variables to estimate the causal effect of a risk factor on an outcome using observational data. If a genetic variant is included in a Mendelian randomization study that does not satisfy the instrumental variable assumptions then the …
-
Randomization for Efficient Nonlinear Parametric Inversion
… incurs a substantial cost. We propose to use randomization to drastically reduce the number of large linear solves needed for constructing the global ROM bases without degrading the accuracy of the solution to the inversion problem. We demonstrate the efficiency of these approaches with …
-
Preventing injection attacks through automated randomization of keywords
SQL injection attacks are a major security issue for database-backed web applications, yet the most common approaches to prevention require a great deal of programmer effort and attention. Even one unchecked vulnerability can lead to the compromise of an entire application and its data. We present …
-
Linux Kernel Module Continuous Address Space Re-Randomization
Address space layout randomization (ASLR) is a technique employed to prevent exploitation of memory corruption vulnerabilities in user-space programs. While this technique is widely studied, its kernel space counterpart known as kernel address space layout randomization (KASLR) has received less …
-
Mass-balanced randomization : a significance measure for metabolic networks
… of network properties using a generic randomization scheme - a Markov-chain switching algorithm - which generates unrealistic reactions in metabolic networks, as it does not account for the physical principles underlying metabolism. Therefore, it is unclear whether the properties …
-
Randomization analysis of experimental designs under non standard conditions
… the statistical model is incorrectly specified. Randomization of treatments to experimental units is expected to protect against such shortcomings. This paper uses randomization theory to examine the impact on the expectations of mean squares, treatment means, and treatment differences for two …
-
Locally optimal detection and randomization defenses against universal adversarial perturbations
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01
-
Response surface designs and analysis for bi-randomization error structures
… or difficulty in performing complete randomizations may dictate the necessity to run response surface experiments in a bi-randomization error control format of which the split plot design is a special case. A bi-randomization scheme allows for certain factor levels to be applied at …
-
Comparative Power Of The Anova, Randomization Anova, And Kruskal-Wallis Test
… information. To compare the power of the ANOVA, randomization ANOVA, and the Kruskal-Wallis test, the researcher performed a Monte Carlo analysis on group sizes of n=10 to n=30 and groups of k=3 and k=5 using Fortran program language and the IMSL subroutine library. In 12 different treatment …
-
Randomization-based inference for distributions and quantiles of individual treatment effects
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
-
Response Surface Design and Analysis in the Presence of Restricted Randomization
Practical restrictions on randomization are commonplace in industrial experiments due to the presence of hard-to-change or costly-to-change factors. Employing a split-plot design structure minimizes the number of required experimental settings for the hard-to-change factors. In this research, we …
-
Recommendations for Design Parameters for Central Composite Designs with Restricted Randomization
In response surface methodology, the central composite design is the most popular choice for fitting a second order model. The choice of the distance for the axial runs, alpha, in a central composite design is very crucial to the performance of the design. In the literature, there are plenty of …
-
rave: A Framework for Code and Memory Randomization of Linux Containers
… live applications, like NGINX, with enough randomization to disrupt memory corruption attacks. This work is supported in part by ONR under grant N00014-18-1-2022 and NAVSEA/NEEC/NSWC Dahlgren under grant N00174-20-1-0009.
-
A Signature Enrichment Design With Bayesian Adaptive Randomization For Cancer Clinical Trials
… on adaptation methods. In particular, outcome-randomization becomes more popular as it can assign more patients to the promising treatments based on the accumulated trial data. This data-driven allocation allows more patients to benefit from the trial, which is especially important for cancer …
-
The analysis of directional data: Performance comparisons of randomization and parametric methods
… of several parametric and nonparametric randomization methods for the analysis of directional data, with particular emphasis on the classic task of evaluating whether population mean directional differences exist over M independent samples of directions. To overcome the limited …
-
Next-Generation Mendelian Randomization: Advanced and Reliable Methods for Complex Causal Inference
Mendelian randomization is an epidemiological method that uses genetic variants as instrumental variables to study the causal effects of exposures on outcomes. Conventional MR is primarily implemented to test or estimate effects in relatively simple forms. However, to gain deeper insights into …
Page 1 of 14