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 163 for “"linear modeling"”.
-
Linear Modeling and Prediction in Diabetes Physiology
… presents work on data-driven glucose metabolism modeling and short-term, that is, up to 120 minutes, blood-glucose prediction in Type 1 Diabetes Mellitus (T1DM) subjects. In order to address model-based control for blood glucose regulation, low-order, individualized, data-driven, stable, …
-
Globally -Coordinated Locally-Linear Modeling of Multi-Dimensional Data
… data. Experiments show that the new modeling features of our approach improve the performance of existing approaches in many applications. In object tracking, our approach is the first one to track nonlinear appearance variations by using low-dimensional representation of the …
-
Hierarchical Linear Modeling versus visual analysis of single subject design data
… have proposed the use of Hierarchical Linear Modeling to analyze single-subject data because it can withstand violations of assumptions often present in single-subject data that other statistics cannot. In addition, HLM is similar to the actual data structure of single-subject designs …
-
Linear Modeling and Analysis of Thermoacoustic Instabilities in a Gas Turbine Combustor
… fraction. By examing the frequency response with linear stability techniques, the existence of limit cycles due to linear instabilities is predicted. Further, the frequency response analysis is used to predict limit cycle frequencies in the case of predicted instability. The analysis predictions …
-
Bayesian Linear Modeling in High Dimensions: Advances in Hierarchical Modeling, Inference, and Evaluation
… problems like this, the languages of linear modeling and Bayesian statistics appeal because they provide interpretability, coherent uncertainty, and the capacity for information sharing across related datasets. But at the same time, high dimensionality introduces several challenges not …
-
Using hierarchical linear modeling to measure school effects on the Colorado Student Assessment Program
… databases were analyzed using hierarchical linear modeling (HLM) to identify the most consistent and powerful predictors of student achievement on the CSAP fourth-grade reading test. A value-added analysis also was implemented to estimate school effects and to compare school performance on …
-
Investigation on multiple factors affecting English-language learners' reading achievement: hierarchical linear modeling approach
… Progress (NAEP). The three- level hierarchical linear modeling (HLM) analysis was employed to generate a model based on the student, teacher, and school level variables. Specifically, this study (a) identified the impact of student-, teacher-, and school characteristics on ELLs and non-ELLs' …
-
Students' mathematical modeling in algebra
Mathematical modeling and algebraic reasoning are two important components of mathematics education. In this study, I taught a mathematical modeling lesson to high school Algebra I students. My goal was to understand how mathematical modeling and algebraic reasoning are related. To analyze …
-
Investigation of the Use of Viscoelastic Damping Devices to Rehabilitate a Lightly Reinforced Concrete Slab-Column Structure
… testing results are provided through the use of linear models of the type that might be used in the design office. The analytical models were used to assess strength, stiffness, and serviceability of the structure. In addition, the analytical models were used to assess the applicability of the …
-
A Cross-National Study of School Violence
… in the school setting. Using hierarchical linear modeling (HLM), a method of multi-level linear analysis, of the 2007 Trends in International Math and Science Studies (TIMSS) data augmented with data from UN Human Development Reports, UN Demographic Yearbook, CIA World Factbook and the …
-
High Levels of Total Energy Expenditure in Ultra-Endurance Athletes: Is There Evidence for Constraint?
… budget is limited. The prevailing model of a linear relationship between PA and total energy expenditure (TEE) has been challenged by models that predict an upper limit of TEE (constrained) or a compensatory decrease elsewhere in the budget in response to increased PA (compensated). The …
-
PREDICTORS OF STUDENT REFERRALS TO PROBLEM-SOLVING TEAMS: CHILD STUDY TEAMS AND INSTRUCTIONAL CONSULTATION TEAMS
… 1996). Using multinomial hierarchical general linear modeling (HGLM) and the Hierarchical Linear Modeling program (HLM 7.01: Raudenbush et al., 2011), statistically significant effects were found for student sex; Hispanic race/ethnicity; reading, writing, and math achievement; prior ratings of …
-
A Study of the Value Added by Transformational Leadership Practices to Teachers' Job Satisfaction and Organizational Commitment
… engaged. The researcher then used hierarchical linear modeling to test Bass and Riggio's (2006) Model within this sample group. The results of this study provide researchers with a replicable method with which to examine Bass and Riggio's (2006) Augmentation Model. They also provide …
-
Conflict and threat between pre-existing groups: An application of identity to bias, persuasion and belief perseverance
… few of its members. With the use of hierarchical linear modeling and conventional ordinary least square statistics, results indicated general and specific effects of source of the message and the inclusiveness of criticism towards predicting bias, persuasion, and belief perseverance in …
-
Living On Borrowed Time: A Longitudinal Examination of a Time-Limited Housing Voucher Program
… while living in poverty. Using Hierarchical Linear Modeling (HLM) the first analysis addresses what can be predictive of socioeconomic status for families. A second set of analyses were preformed, using both cross-lagged and latent growth modeling, to assess the interconnected nature of …
-
The nonlinear differential semblance algorithm for plane waves in layered media
… first version of differential semblance with non-linear modeling that may properly account for nonlinear effects of wave propagation, such as multiple reflections. Numerical experiments with synthetic data indicate the smoothness and convexity of the proposed objective function. These results …
-
Measuring Teaching Practices: Does A Self-Report Measure Of Instruction Predict Student Achievement?
… (Instructional Practices Scale). Hierarchical linear modeling was used to examine the effects of the scale on students' reading and math standardized test scores and report card grades. Although the scale showed small to moderate relationships with teacher characteristics, results suggested …
-
Daily Stress and Physical Health: The Role of Intimacy and Conflict in Romantic Relationships
… between-person differences and hierarchical linear modeling was used to examine within-person differences across seven days of daily diary assessments. Participants reported about their experience of stress, relationship intimacy, relationship conflict, and physical health. Results showed …
-
The Role of Attention in Goal Setting
… were conducted using three-level hierarchical linear modeling (HLM), where repeated measures occur within trials, which are nested within individuals. In general, results failed to support the hypotheses. However, weak support was found for attentional effects when commitment was also taken …
-
A Comparison of Methods to Identify the Mean Response Time of Ramp-Incremental Exercise for Exercise Prescription
… of determining Mean Response Time (exponential modeling (MRTEXP), linear modeling (MRTLIN), and the steady-state method (MRTSS)) were compared and evaluated for their accuracy at predicting the V̇O2 associated with two PO below estimated lactate threshold (qLT) and one above. Methods: Ten men …
Page 1 of 9