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.
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Showing 1 to 20 of 148 for “"Hierarchical model"”.
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A hierarchical model for photovoltaic system performance analysis
… is good for any alternative energy source. Four models are used to analyze complete performance of a photovoltaic(PV) system. The SOLAR model estimates the total radiation at a site. The PVPM model calculates the PV output for this total radiation. The PRODCOST and LIFECC models analyze the …
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Structure-function relationship in hierarchical model of brain networks
… network of cat cortical connectivity. We model the cortical areas by a subnetwork of interacting excitable neurons (multilevel model) and by a neural mass model (population model). With weak couplings, the multilevel model displays biologically plausible dynamics and the synchronization …
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A Connectivity-based Hierarchical Model for Naturally Fractured Reservoir Simulation
… of fracture lengths and various topologies. Modeling of such fractured systems has traditionally followed a multi-scale approach, in which the selection of the numerical models is purely based on the fracture length. However, fractures with different length scales and connectivity degrees …
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A hierarchical model for integration of narrowband cues in speech
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Modeling Transition Probabilities for Loan States Using a Bayesian Hierarchical Model
A Markov Chain model can be used to model loan defaults because loans move through delinquency states as the borrower fails to make monthly payments. The transition matrix contains in each location a probability that a borrower in a given state one month moves to the possible delinquency states the …
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A hierarchical model of German morphology in a spoken language lexicon environment
Die Dissertation entwirft eine zeichenbasierte Theorie der Morphologie des Deutschen. Die allgemeine Strategie ist, die existierenden, zum Teil widersprüchlichen Ansätze zum Lexikon in der Head-Driven Phrase Structure Grammar einerseits und zur Morphologie andererseits kritisch zu evaluieren und …
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Star Formation History of the Milky Way Galaxy Disk Using a Hierarchical Model
… large data sets. For this research, the Bayesian hierarchical model is used to estimate the age of the WDs. The Bayesian approach has already proved its credibility in various fields. The Bayesian hierarchical model produces parameter estimators for individual objects. It uses the Bayesian method …
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Risk assessment for change management within project management: a hierarchical model process approach
… to change and ensure project success. However, models contained in such frameworks often lack formal semantics and clarity; generally fail to address and assess organisational change management risk reasoning, in a rather detailed way as they do for the majority of the project management …
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The effects of three different priors for variance parameters in the normal-mean hierarchical model
… are suggested for variance parameters in the hierarchical model. The “Non-informative” interval of the conjugate inverse-gamma prior might cause problems. I consider three priors – conjugate inverse-gamma, log-normal and truncated normal for the variance parameters and do the numerical …
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Trait Affective, Behavioral, and Cognitive Factors of Anxiety and Depressive Symptoms in Children and Adolescents: A Hierarchical Model
Researchers have proposed a vulnerabilities model that attempts to explain the similarities between the internalizing disorders via a hierarchical pathway of trait affectivity and cognitive factors among adults. The current study aimed to replicate and extend this model to symptoms of four …
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Classification Analysis for Environmental Monitoring: Combining Information across Multiple Studies
… it is convenient, the conventional single model approach may fail to accurately describe the relationships between variables. Two alternative modeling approaches are available: one applies separate models for different regions; the other applies hierarchical models. The separate modeling …
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Accounting for structure in education assessment data using hierarchical models
… for the nesting structure. We then show that a hierarchical modeling approach allows us to appropriately account for structure in this type of data. As an illustration, we demonstrate the use of a model-based approach to comparing two teaching methods by fitting a hierarchical model to data from …
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Implementation of the Tennessee divorce and mediation pilot project in Hamilton County: evaluating program effectiveness
… of the criteria presented in Kirkpatrick's hierarchical model (Noe & Schmitt, 1986). The four levels of evaluation in the hierarchy include reactions, learning, behavior and results. Kirkpatrick's hierarchical model has been used to devise an evaluation system for the parental education …
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Bayesian Analysis of Discrete Longitudinal Data
This thesis explores a Bayesian hierarchical model to compare treatment effectiveness for menopausal symptom relief. Specifically, this model recognizes the discrete nature of the data, as well as its time dependency. Bayesian analysis is used to make inference on each individual profile, as well …
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Comparing Multiple Measure Placement Models in Mathematics
… study investigated the ability of two placement models to predict course success in mathematics: a hierarchical placement model utilizing cut point values determined by CHAID decision trees and an algorithmic placement model utilizing the regression equations from binary logistic regression …
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All the Science That Is Fit to Blog: An Analysis of Science Blogging Practices
… an adapted version of Shoemaker and Reese’s Hierarchical Model of Influences, in order to guide current and future research on the sociology of science blogging. Shoemaker and Reese’s Hierarchical Model of Influences is a model of the factors that influence mass media content, which has been …
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Statistical approaches for spatial prediction and anomaly detection
… with an empirical likelihood in the Bayesian hierarchical model, approximate posterior distributions for the mean and covariance parameters can be obtained. Due to the complex nature of the hierarchical model, standard Markov chain Monte Carlo methods cannot be applied to sample from the …
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Bayesian Hierarchical Modeling for Longitudinal Frequency Data
… research is to develop a longitudinal frequency model for data collected regularly for several individuals over an extended time period. This model must recognize explicitly the discrete nature of the data, as well as any dependence that exists among an individual's time consecutive measurements. …
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Measuring the Relationship Between Reflexive and Intentional ANS Response
… and non-conscious centers in a seemingly hierarchical fashion. As a result, voluntary actions have the ability to inhibit reflexive actions via an inhibitory circuit. 111 subjects performed four diverse autonomic tasks consisting of voluntary and involuntary combinations. Analysis supports …
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Sample and counting variations associated with x-ray flourescence [sic] analysis
… distribution and variance are derived. Using a hierarchical model variances of batch, sample, and within sample effects are examined. These variances are compared with each other and with counting variance.
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