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A Bayesian classification framework with label corrections
(University of Missouri--Columbia, 2014)
The use of unlabeled data is very important for regression and classification analysis in many cases. However, the data may have an extra layer of complexity with some wrongly labelled data points. The traditional ...
Accounting for Uncertainty in Ecological Analysis: The Strengths and Limitations of Hierarchical Statistical Modeling
(Ecological Society of America, 2009)
and boundary conditions. Only then can we be confident in the scientific inferences and forecasts made from an analysis. Probability and statistics provide a framework that accounts for multiple sources of uncertainty. Given the complexities of ecological...
Universal Optimality in Balanced Uniform Crossover Design
(Institute of Mathematical Statistics, 2003)
Kunert [Ann. Statist. 12 (1984) 1006-1017] proved that, in the class of repeated measurement designs based on t treatments, p = t periods and n = λt experimental units, a balanced uniform design is universally optimal
for ...
The Effect of the Designated Hitter Rule on Hit Batsmen: Pitcher's Moral Hazard or the Team's Cost-Benefit Calculation?: A Comment
(Oxford University Press, 1998-10)
is no longer statistically significant. However, the point estimates are close to our prediction, which does not rely on moral hazard....
Assessing the quality of care in nursing homes through Bayesian belief networks
(University of Missouri--Columbia, 2005)
The need to properly assess, and thus, improve the quality of care in nursing homes is a growing concern. This research proposes Bayesian belief networks (BBNs) as a modeling tool to perform such assessments. Variables ...
Announcement of the School of Business and Public Administration
(University of Missouri, 1945)
Foundational scientific knowledge in athletic training curricula
(University of Missouri--Columbia, 2017)
During 2015 the Commission on Accreditation of Athletic Training Education (CAATE) first publically identified they believe strong foundational scientific knowledge produces the best health care providers. Next, in May 2016 a set of proposed...
Bayesian analysis of spatial and survival models with applications of computation techniques
(University of Missouri--Columbia, 2012)
This dissertation discusses the methodologies of applying Bayesian hierarchical models to different data with geographical characteristics or with right-censored failure time. A conditional autoregressive (CAR) prior is ...
Public perceptions of the environment: The role of mass media [abstract]
(University of Missouri--Columbia. Office of Undergraduate Research, 2008)
; 1973-2006) reveals a positive correlation between the amount of environmental news broadcasts in the U.S. and American public concern for the natural environment. Statistical analysis of the 2006 and 2007 Collaborative Congressional Election Studies, a...
U.S. Baseline Briefing Book: Missouri Insert (2010)
(Food and Agricultural Policy Research Institute (FAPRI), University of Missouri-Columbia, 2010-03)
This report provides a detailed analysis of projections for Missouri agriculture and should be used in conjunction with the 2010 US Baseline Briefing Book (FAPRI-MU Report #01-10)....
Multiresolution Models for Nonstationary Spatial Covariance Functions
(Statistical Modelling, 2002)
Many geophysical and environmental problems depend on estimating a spatial process that has nonstationary structure. A nonstationary model is proposed based on the spatial field being a linear combination of a multiresolution ...
Logistics regression to determine the influence of Bean and Metzner's persistence factors as defined by the Community College Survey of Student Engagement (CCSSE) on nontraditional students
(University of Missouri--Columbia, 2011)
of Nontraditional Undergraduate Student Attrition. The dependent variable was persistence. Data were analyzed using a validity panel, descriptive statistic analysis, chi square tests, and logistic regression. Chi square tests revealed four CCSSE items...
Change in high-risk behaviors during the first college year categorized by gender, first-generation status, and admission index demographics as measured by the CIRP and YFCY
(University of Missouri--Columbia, 2009)
cigarettes, drinking beer, drinking wine or liquor, feeling depressed, and feeling overwhelmed. This quantitative study measured the change in high-risk behaviors in one cohort of students at a moderately selective Midwestern, four-year public, Masters I...
Profiling women's breast cancer screening practices using data mining
(2009)
Breast cancer is a major chronic disease and early identification is necessary for treatment. Mammograms are clinical tests that increase the detection of breast cancer. Funded by the Centers for Disease Control and ...
Examining the impact of design variables and media richness on responses to product design
(University of Missouri--Columbia, 2017)
-factorial experiment. A sample of 181 participants was used to test the study hypotheses. This study employed a between-subject design, and participants were randomly assigned to one of the eight experimental conditions. The results from statistical analysis...
Bounds on the tail probability of u-statistics and quadratic forms
(2011)
The authors announce a general tail estimate, called a decoupling inequality, for a symmetrized sum of non-linear k-correlations of n > k independent random variables.
The impact of high-stakes accountability on instructional leadership and data-driven decision-making
(University of Missouri--Columbia, 2016)
and data-driven decision making has had on public school principals and educators....
Decoupling inequalities for the tail probabilities of multivariate u-statistics
(2011)
In this paper we present a decoupling inequality that shows that multivariate U-statistics can be studied as sums of (conditionally) independent random variables. This result has important implications in several areas of probability and statistics...
Semiparametric transformation models for panel count data
(University of Missouri--Columbia, 2011)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Panel count data arise in event history studies. It may not be feasible to monitor subjects continuously and recurrent events can be observed only at ...
Estimating population size with objective Bayesian methods
(University of Missouri--Columbia, 2012)
Bayesian inference of discrete parameter, including population size, is sensitive to the choice of priors. In this dissertation I will develop objective priors for several population size parameters appeared in different ...