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 16 of 16 for “"prediction bias"”.
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Assessment of Prediction Bias in Crown Biomass Equations for Important Conifer Species of the Inland Northwest
… biomass estimation across the United States. The prediction equations most commonly used were developed by Brown (1978) and Jenkins et al. (2003). Because of the widespread application of these equations for managerial and scientific use in the inland northwest, USA, crown mass data for several …
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Assessment of Prediction Bias in Crown Biomass Equations for Important Conifer Species of the Inland Northwest
… biomass estimation across the United States. The prediction equations most commonly used were developed by Brown (1978) and Jenkins et al. (2003). Because of the widespread application of these equations for managerial and scientific use in the inland northwest, USA, crown mass data for several …
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Comparative Validity of MMPI-A Scales Scores in African American and Caucasian Male Juvenile Delinquents
… used as extra-test measures. Significant overall prediction bias was detected in 15 out of 56 regressions. Statistically significant prediction bias was found for a subset of criterion variables for Clinical Scales 2, 4, and 9, as well as Content Scales <em>A-dep</em>, <em>A-hea</em>, …
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A graphical approach for evaluating the potential impact of bias due to model misspecification in response surface designs
… then may be used for other purposes, for example prediction or optimization. Since the proposed model is only an approximation, the analyst almost always faces the potential of bias due to model misspecification. The ultimate impact of this bias depends upon the choice both of the experimental …
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Effect of upper stem diameter and errors of measurement on the accuracy of volume equations
… individual predictor variables to total volume prediction bias and precision. Relative bias ranged from 0.85% for DBH measurement errors to 2.88% for total height measurement errors. Relative standard deviation ranged from 1.52% to 10.13% for DBH and total height errors respectively. When both …
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Factors Influencing The Accuracy Of Task Completion Time Estimates
… that might influence the accuracy of temporal predictions have received little empirical treatment. The research presented in this thesis identified two distinct factors that mediated time estimation accuracy and bias. One factor was task duration, whereas the other factor was the person’s …
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Examination of Racial Bias on the MMPI-2 Restructured Form among African Americans and Caucasians
… ambiguity concerning the possibility of racial bias on measures assessing psychopathology. The current study examined the extent to which the MMPI-2-RF is affected by racial bias. Using a sample of 1017 college students, the current study examined whether ethnicity acted as a moderating variable …
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The use of attitudinal variables to reduce potential prediction bais [i.e. bias] of ACT mathematics test scores for non traditional-age students
… was to examine the extent to which age-related bias exists when ACT Mathematics test scores are used as the sole predictor of future academic performance in entry-level college mathematics courses. A secondary purpose was to investigate the extent to which academic and attitudinal variables, in …
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Modeling nutrient requirements and measuring nutrient outputs of feedlot cattle
… 78% of the variation in RE, with a 1.11% over-prediction bias and the HM explained 88% of the variation in RE, with a 0.27% under-prediction bias. Compared with the NRC model, utilization of the HM to predict energy requirements in heavy weight steers at the end of finishing explains a greater …
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Heterogeneous machine learning with decentralized data
… robust adaptation algorithms that mitigate model prediction bias and out-of-distribution data effects. Together, these contributions form an effective and robust framework for heterogeneous machine learning under decentralized data environments.
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A graphical comparison of designs for response optimization based on slope estimation
… suited for the optimization problem. Response prediction capability has been assessed by plotting the average, maximum, and minimum prediction variances on the surface of spheres with radii ranging across the region of interest. Average and maximum prediction bias plots have recently been added …
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Disaggregate behavioural land use modelling: Integration of housing search, job search and households' dynamics
… this part, instability, as a potential cause of prediction bias in discrete choice modelling is discussed and bagging method as a potential treatment is introduced. Besides, decisions in the process of housing search are made collectively by all household members. To address this concept, …
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Advancing Pandemic Response: Integrated Strategies for Testing, Prediction, and Bias Mitigation
… predictive models, and mitigating demographic biases in artificial intelligence (AI) models used for healthcare decision-making.</p> <p>The first study introduces a global screening strategy designed to optimize resource use and increase testing capacity, particularly in low- and middle-income …
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Organizational Decision-making in the Age of Big Data and Artificial Intelligence
… <p>Study 3: Extant research on algorithmic bias has mostly approached the subject from a technical perspective, with few studies investigating the decision bias of human-machine collaborative decision-making, wherein human experts have the final say after working with the algorithms. In this …
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Mitigating risk of weather variability to agriculture through improved field workability predictions
… and temperature threshold which minimized the prediction error of reported weekly FWDs from 1959-2010 when applied to the reconstructed soil moisture dataset. All of the models from previous literature, as well as the logistic regression model, systematically over predicted the number of FWDs …
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Development of national extent terrain attributes (TANZ), soil water balance surfaces (SWatBal), and environmental surfaces, and their application for spatial modelling of Pinus radiata productivity across New Zealand
… and OK surfaces. Cross validation showed that prediction precision increased for both the 300 Index and Site Index RK models. However, only Site Index predictions were considered less biased using the RK technique. Findings from the commonly used and relatively straight forward spatial …