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 130 for “"Response model"”.
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An Adaptive Dose Finding Design (DOSEFIND) Using A Nonlinear Dose Response Model
… We develop a method for obtaining the desired response using an adaptive non-linear approach. This method is applicable for studies in which MTD, NOEL,NOAEL, PK, PD effects or other such endpoints are evaluated to determine the desired dose. The method has application whenever a measurable PD …
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A Study of the Robustness of the Three-Parameter Item Response Model
… investigate the use of the three-parameter item response model on psychological test data which violated the model's assumptions of large sample sizes, long tests and test unidimensionality. The accuracy of the person ability and item characteristic curve parameter estimates derived by the …
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Application of a Graded Response Model to the Assessment of Job Satisfaction
… parameters on the two-parameter logistic graded response model. Comparisons were made of the person and item parameters with the dichotomously scored counterparts. Application of the graded response model was also made to appropriateness measurement in detecting aberrant response vectors. The …
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Dichotomous and polytomous item response model estimation using the marginal maximum likelihood and the EM algorithm
Item Response Theory is a set oflatent variable techniques specifically designed to model the interaction between a respondent's latent trait/ability and the test items' characteristics such as difficulties, discrimination powers and guessing liabilities. The Item Response Theory framework …
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A comparison of the response model/combined array method and the traditional methods for robust design
… to demonstrate a modern day technique called Response Model/Combined Array. Also, Taguchi's designs call for a complete cross between a (possibly) fractionated so-called control array and a (possibly) fractionated so-called noise array. It is sought to explore the possibility of cutting down …
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A Comparison of Bayesian Estimation Techniques in a Multidimensional Two-Parameter Partial Credit Item Response Model
… parameter estimation in relatively simple item response models. However, extant literature is lacking on the investigation of Bayesian parameter estimation approaches for a multidimensional two parameter partial credit (M2PPC) model, therefore this simulation study investigated the performance …
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Investigating the Factors That Contribute to In-App Purchases in Online Gaming:The Stimulus-Organism-Response Model
… profitable online games. The Stimulus-Organism-Response (S-O-R) model was used to better understand InApp purchasing behavior, where Stimulus refers to game characteristics, Organism refers to gameplay experience that could lead to the Response resulting in Online Purchase Intent. The factors …
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Development of a risk response model to handle delays of construction projects in the United Arab Emirates.
… depressed. In this situation, effective risk response is urgently required, since it aims to ensure that all project objectives, including avoiding delays, are met. In itself, the risk response process is a core element of risk management and perhaps the most important area needs to be …
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An application of Patricia Cross' chain of response model to educational interest/participation of public housing residents: a case study approach
Using Patricia Cross's Chain of Response model as a guide, this research sought to understand the complex socio-economic and environmental factors that inhibit public housing residents from participating in educational activities. The Chain of Response model developed by Patricia Cross assumes that …
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An investigation of the effects of test length on short-form basic skills competency tests developed by using the one-parameter item response model/
… tests. developed by using the oneparameter item response model. Using the i tern responses of approximately 36,000 students to 75 items on a functional reading test, item parameters were estimated with the one-parameter i tern response model. Three nonoverlapping short-form tests of 10, 20, and …
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Model selection and analysis tools in response surface modeling of the process mean and variance
… a serious issue facing industry today. And while response surface methods have been developed which address the process mean involved in improving the product there has been little research done on the process variability. Lack of quality in a product can be attributed to its inconsistency in …
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Development of a Mechanistic Model for Geogrid Reinforced Flexible Pavements
… describes the development of a mechanistic response model for the analysis of geogrid base reinforced flexible pavements and to investigate the response benefit of geogrid-reinforcement. This is an axisymmetric finite element structural model that considers the nonlinear, stress dependent …
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Active participation of buildings in the power sector : the case of small office buildings
… participants. A data-driven multi-zonal thermal response model is formulated and fit to EnergyPlus simulation data from a Department of Energy Small Office Reference Commercial Building for the months of June, July and August. When validated and tested against EnergyPlus simulation data, the …
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Swelling behavior of Illinois coal shale
<p>"A swelling response model has been defined to predict the maximum expansive pressure and strain developed in roof shales associated with Illinois coal mines. This model also can be used to estimate the magnitude of swelling generated within the shale when it is subject to humidity changes …
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Community Factors in Differential Responses of Child Protective Services
… and the appropriateness of an investigative model that has been criticized as adversarial, intrusive, and inappropriate for some referrals. In response, a Differential Response Model of child protection has emerged, with investigative and non-investigative alternative response paths that …
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Applying Time-Valued Knowledge for Public Health Outbreak Response
… the time-value of knowledge and propose the C4 Response Model for organizing the research response to novel pathogenic outbreaks. First, we define the C4 Response Model as a progression from an initial data-hungry collect stage, iteration between open-science-centric connect stages and …
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Fire Response of Loaded Composite Structures - Experiments and Modeling
In this work, the thermo-mechanical response and failure of loaded, fire-exposed composite structures was studied. Unique experimental equipment and procedures were developed and experiments were performed to assess the effects of mechanical loading and fire exposure on the service life of …
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Optimal designs for dose-finding in contingent response models
… In particular, we study the contingent response models of Li, Durham and Flournoy (1995). In the contingent response model, there are two opposing types of failure. We call one failure type toxicity and the other disease failure, short for failure due to disease. No disease failure is …
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Approximate Bayesian approaches and semiparametric methods for handling missing data
… Bayesian approach is developed to handle unit nonresponse with parametric model assumptions on the response probability, but without model assumptions for the outcome variable. The proposed Bayesian method is also extended to incorporate the auxiliary information from full sample. In second paper …
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Mechanical Shock Analysis and Testing of an Air-Dropped Antarctic Ice Penetrator
… seismometer's peak acceleration. A structural response model is used to predict the seismometer's dynamic response to ice shelf impacts with hundreds of potential shock isolation designs. This structural response model is used to select a candidate shock isolation design based on the SGIP …
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