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 27 for “"Binary response"”.
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Semiparametric Estimation of Binary Response Valuation Models
… of the welfare measures obtained through KSE and binary quantile regression. Results obtained indicate that KSE welfare measures are closer to the quantiles approach than the standard logit. However, the differences in the welfare measures suggest that the KSE fail to capture all the structure …
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Binary Response - film centre 001011 for the gasworks precinct
… Consequently, the treatise design is a binary response to the influences posed by the cultural significant site of urban-industrial character, and that of an ever-changing world of digital film and video technologies. The investigation for the new architecture for the Film Centre …
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Risk prediction models for binary response variables for the coronary bypass operation
… up risk stratification algorithms. Utilizing the binary feature of the response variables, logistic regression analyses and classification trees (recursive partitioning) were used with the variables identified by the Health Data Research Institute in Portland, Oregon. The data set contains records …
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Uso de regressão logística para identificar os fatores de risco associados à ocorrência de anomalias congênitas em recém-nascidos
… in the area of health. The condition of studying binary response variables in terms of a set of explanatory factors have become increasingly common in epidemiological studies. Thus, this study aims to use a logistic regression model to investigate the risk factors associated with the occurrence of …
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Topics in Bayesian sample size determination and Bayesian model selection.
… sample size calculation with a misclassified binary response variable. Differing from the first topic, an error-free covariate is added. Simulations demonstrate that choices of prior distributions have a great impact on the resultant sample size. The last topic is about Bayesian variable …
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Three Essays on Extremal Quantiles
… rate of the estimator of the intercept of binary response models.</p>
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Optimal experimental designs for two-variable logistic regression models
Binary response data is often modeled using the logistic regression model. Experimental design theory for the logistic model appears to be increasingly important as experimentation becomes more complex and expensive. The optimal design work is extremely valuable in areas such as biomedical and …
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The utility of hierarchical logistic regression for predicting repeated measures binary responses
… are taken for each treatment. In the case of a binary response variable, ANOVA approaches typically require the user to first convert responses to an appropriate continuous variable, often a total score. The data used in this report include responses from 83 participants and are coded binary. …
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Vulnerability and social risk management in India and Mexico
… Guanajuato. Using regression modeling of binary response variables, I tested the statistical association between the adoption of formal social risk-management and a number of endogenous and exogenous household characteristics. The results indicate that the likelihood of adoption of formal …
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Optimal one and two-stage designs for the logistic regression model
Binary response data is often modeled using the logistic regression model, a well known nonlinear model. Designing an optimal experiment for this nonlinear situation poses some problems not encountered with a linear model. The application of several optimality design criteria to the logistic …
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Applied Error Related Negativity: Single Electrode Electroencephalography in Complex Visual Stimuli
… negativity (ERN) is a pronounced negative evoked response potential (ERP) that follows a known error. This neural pattern has the potential to communicate user awareness of incorrect actions within milliseconds. While the implications for human-machine interface and augmented cognition are …
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Spatio-Temporal Vegetation Change as related to terrain factors at two Glacier Forefronts, Glacier National Park, Montana
… a rich body of work has documented glacial response to climate warming trends, comparatively little research has assessed vegetation change in recently deglaciated areas. In this study, we assess vegetation change at two glacier forefronts in Glacier National Park, Montana, through remote …
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Topics in Heterogeneous Group Testing
… addition, with the recent development of pooled binary response regression models, the estimation problem has been extended to acknowledge population heterogeneity. Unfortunately, all existing group testing regression approaches have assumed that testing error rates for pooled specimens are known …
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Confidence bands for survival functions under semiparametric random censorship models
… a plethora of choices currently available for binary response data. The substantive methodological contribution is in exploiting an available semiparametric estimator of the survival function for the one-sample case to produce improved simultaneous confidence bands. Since the relevant limiting …
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Statistical methodology motivated by problems in genetics
… distinguishes direct from indirect eects between binary predictors and a binary response. DET consists of two stages: the rst stage nds eects, the second stage infers the uncertainty in determining which predictors cause which eects. The method is useful when it is of interest to recover direct …
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Social-Economic Benefits of Payment for Environmental Services in Yaque del Norte Watershed, Dominican Republic
… Private costs are inferred from a nonlinear binary response model that estimates the relative importance of factors affecting forest conservation decisions of households. Results show that payment level, measured through rental value, is not significant for landholders' decisions to sign a …
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Failure time analyses for data collected from independent groups of correlated individuals
… time interval is modeled as a conditional binary random variable indicating the failure or success of the individual during a specific time interval given success in the previous intervals. For each time interval, a separate vector of binary responses is constructed for each group, …
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Essays on macroeconomic dynamics and the econometrics of expectiles
… multipliers using a two-regime model and impulse response functions with fully endogenous regimes. While short-run multipliers vary depending on business cycle fluctuations, we find little evidence that medium or long-run multipliers vary between expansions and recessions. The reason for state …
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Resource Allocation Decision-Making in Sequential Adaptive Clinical Trials
… on sequential adaptive clinical trials with binary response, which allow for early termination of drug testing for benefit or futility at interim analysis points. The option to stop the trial early enables the trial sponsor to mitigate investment risks on ineffective drugs, and to shorten the …
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STATISTICAL MODELS UTILIZING DEPENDENCE BETWEEN VARIABLES
… variable and a vector of independent variables. Binary response variable and categorical data are of a specific interest in this research. <italic>I<italic>-projection problems arise in wide variety of problems and different settings. It plays a key role in the information theoretic approach to …
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