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 49 for “"Statistical decision"”.
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Minimax Solution of Statistical Decision Problems by Iteration
Made available in DSpace on 2014-12-10T16:39:48Z (GMT). No. of bitstreams: 1 6604253.pdf: 1644729 bytes, checksum: 80509ed779017c294dbbc563de1c57e7 (MD5) Previous issue date: 1965
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Application of statistical decision theory to legal decisions
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1964.
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Teaching Statistical Decision Making to Junior High School Students
Made available in DSpace on 2014-12-10T18:45:05Z (GMT). No. of bitstreams: 1 7207047.pdf: 8271161 bytes, checksum: cd14c61c1d5f9780e4c9d21d684d0a84 (MD5) Previous issue date: 1971
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Estabilidade de taludes de solos residuais de granito e de gnaisse
… investigations. Design methods based on the statistical decision theory are presented. In Part Two a case history of a landslide on talus material is presented. The "in situ" shear strength, compared to that obtained in laboratory, confirms the need of a thorough knowledge of the sliding …
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A unified decision analysis framework for robust system design evaluation in the face of uncertainty
… high life-cycle cost are the direct result of decisions made during early phases of system design. To develop quality systems, both engineering and management need fundamental principles and methodologies to guide decision making during system design and advanced planning. In order to provide …
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On the Sample Efficiency of Data-Driven Decision Making
This thesis studies the fundamental problem of decision making under uncertainty through the lens of statistical decision theory. We characterize the minimax risk, which captures the sample efficiency required for effective decision making across three key settings: offline estimation with batch …
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Topics in Bayesian sample size determination and Bayesian model selection.
… three topics using the Bayesian paradigm for statistical inference. The first topic is related to Bayesian sample size determination with a misclassified prevalence variable when two possibly dependent diagnostic tests are used for estimation. After accounting for the dependence structure, the …
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Machine Learning in Consumer Credit: Legal, Economic, Ethical & Policy Implications
… intelligence will either inherently improve decision-making for the better or only result in harm to end-users. Through an interdisciplinary and multifaceted survey of economic, normative, policy, and legal issues, this thesis evaluates existing laws and proposes recommendations for future …
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Selected topics in statistical discriminant analysis.
… consists of three selected topics in statistical discriminant analysis: dimension reduction, regularization methods, and imputation methods. In Chapter 2 we first derive a new linear dimension-reduction method to determine a low-dimensional hyperplane that preserves or nearly preserves …
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Bayesian adaptive designs for non-inferiority and dose selection trials.
… using such information yielding inferences and decisions that are consistent with the laws of probability and consequently admit ease of interpretation. Bayesian adaptive sampling methods offer the potential to accelerate the investigation of a drug without compromising the safety of the trial's …
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The Effects of Parcels and Latent Variable Scores on the Detection of Interactions in Structural Equation Modeling
… evaluate interaction effects. There are numerous statistical difficulties with this multiple regression approach. The most serious is measurement error, requiring the use of structural equation modeling. Jöreskog and Yang (1996) described a nonlinear structural equation modeling procedure that …
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Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data
… The objectives of the study were to identify statistical methods to evaluate family yield potential and repeatability, enhance seedling selection for yield, analyze advanced variety trials data and prove cross resistance between the sugarcane borer and the Mexican rice borer. Random …
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User-Centered Adaptive Information Retrieval
… for the personalized search. We develop a decision-theoretic framework for optimizing interactive information retrieval based on eager user model updating. The framework emphasizes immediate and frequent feedback to bring maximum benefit of context to the user. It serves as a roadmap for …
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Decision-making under statistical uncertainty
Statistical decision-making procedures are used in a wide range of contexts varying from communication receiver design to environment monitoring systems. Although such procedures have been studied for a long time, much of the focus has been restricted to systems where the underlying probabilistic …
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Optimal parameter adaptive estimation of stochastic processes
… results. A review of random processes and statistical decision theory is also included.
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Bayesian Model Selection in terms of Kullback-Leibler discrepancy
… distribution as the best projection onto the statistical modeling space once we try to understand the real but unknown dynamics/mechanism of interest. In addition to review and discussion on the advantages and disadvantages of the historically and currently prevailing practical model selection …
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Using a Bayesian model for bankruptcy prediction : a comparative approach
The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy. To …
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Geometric Methods for Point Estimation
… in a known manifold or metric space. Ideas from statistical decision theory motivate the construction of new estimators for location parameters. The second half of this work explores information geometric aspects of covariance matrix estimation. In a regular statistical model the Fisher …
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