Matching Items (38)
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- All Subjects: Statistics
- Creators: School of Mathematical and Statistical Sciences
- Member of: Theses and Dissertations
- Status: Published
Description
In the words of W. Edwards Deming, "the central problem in management and in leadership is failure to understand the information in variation." While many quality management programs propose the institution of technical training in advanced statistical methods, this paper proposes that by understanding the fundamental information behind statistical theory, and by minimizing bias and variance while fully utilizing the available information about the system at hand, one can make valuable, accurate predictions about the future. Combining this knowledge with the work of quality gurus W. E. Deming, Eliyahu Goldratt, and Dean Kashiwagi, a framework for making valuable predictions for continuous improvement is made. After this information is synthesized, it is concluded that the best way to make accurate, informative predictions about the future is to "balance the present and future," seeing the future through the lens of the present and thus minimizing bias, variance, and risk.
ContributorsSynodis, Nicholas Dahn (Author) / Kashiwagi, Dean (Thesis director, Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
The NFL is one of largest and most influential industries in the world. In America there are few companies that have a stronger hold on the American culture and create such a phenomena from year to year. In this project aimed to develop a strategy that helps an NFL team be as successful as possible by defining which positions are most important to a team's success. Data from fifteen years of NFL games was collected and information on every player in the league was analyzed. First there needed to be a benchmark which describes a team as being average and then every player in the NFL must be compared to that average. Based on properties of linear regression using ordinary least squares this project aims to define such a model that shows each position's importance. Finally, once such a model had been established then the focus turned to the NFL draft in which the goal was to find a strategy of where each position needs to be drafted so that it is most likely to give the best payoff based on the results of the regression in part one.
ContributorsBalzer, Kevin Ryan (Author) / Goegan, Brian (Thesis director) / Dassanayake, Maduranga (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
Smartphone-based healthcare. It's becoming more real as technology advances, adding value to healthcare and opening the doors to more personalized medicine. The Medical Pal is a smartphone application that can track symptoms and analyze trends in the severity of those symptoms, alerting healthcare providers when there is a significant increase in the symptom severity. This is especially directed to the palliative patient, whose care is focused on managing symptoms and providing comfort. The HIPAA-compliant server used for the smartphone application was Catalyze.io and 40 Mayo Clinic Arizona palliative patients were surveyed on their smartphone usage to test the acceptance of this app in a clinical setting. A trial involving 9 simulated patients was conducted over a two week period to test the functionality of the app. A majority of surveyed patients (85%) expressed favor for the idea of a mobile ESAS, and the app was functioning, with the capability of displaying patient data on a healthcare provider's account. This project is intentionally a door-opener to an open field of opportunity for mobile health, symptom observation, and improvements in healthcare delivery.
ContributorsDao, Lelan Diep (Author) / Cortese, Denis (Thesis director) / Lipinski, Christopher (Committee member) / Fitch, Tom (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor)
Created2015-05
Description
Exercise is a great boon to both the health of individuals and the national as a whole. Exercise provides a wide range of significant and well established benefits to both physical and psychological health, with many benefits that are still being discovered. The effects of exercise on health are somewhat unique, as exercise is one of a limited number of ways to improve health that is not harm a reduction strategy, but instead increases health through direct benefit, rather than increasing health by decreasing damage and harm. Support is also given to the proposal that individuals are in best position to determine the intensity of exercise and to choose primary activities to participate in, in order to provide near maximum physical and psychological benefit, with the understanding that frequency of exercise is of the upmost importance for benefit. The accessibility of exercise and the tremendous health benefit of exercise, makes exercise a huge asset in reducing the exorbitant health care spending and improving mediocre health outcomes in this country; a reasonable goal as numerous countries have better health the United States, even though the United States spends the more than any other country on health.
ContributorsRael, Ashur Scott (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Film, Dance and Theatre (Contributor)
Created2015-05
Description
This manual provides a "how-to" framework for the development of a student-run clinic. The manual should be used as a resource, referring to the table of contents and summaries of topics for specific areas of interest. The manual details the phases for the development of a student-run clinic focusing on underserved populations. The Student Health Outreach for Wellness (S.H.O.W.) Community Initiative in Phoenix, Arizona serves as the example. S.H.O.W. represents just one type of clinic structuring. As such, it is important to realize when developing a clinic that there are numerous clinic approaches based on community needs, volunteer support, and funding.
ContributorsWheeler, Shannon Christine (Author) / Thompson, Pamela (Thesis director) / Gaughan, Monica (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Human Evolution and Social Change (Contributor)
Created2014-12
Description
The concentration factor edge detection method was developed to compute the locations and values of jump discontinuities in a piecewise-analytic function from its first few Fourier series coecients. The method approximates the singular support of a piecewise smooth function using an altered Fourier conjugate partial sum. The accuracy and characteristic features of the resulting jump function approximation depends on these lters, known as concentration factors. Recent research showed that that these concentration factors could be designed using aexible iterative framework, improving upon the overall accuracy and robustness of the method, especially in the case where some Fourier data are untrustworthy or altogether missing. Hypothesis testing methods were used to determine how well the original concentration factor method could locate edges using noisy Fourier data. This thesis combines the iterative design aspect of concentration factor design and hypothesis testing by presenting a new algorithm that incorporates multiple concentration factors into one statistical test, which proves more ective at determining jump discontinuities than the previous HT methods. This thesis also examines how the quantity and location of Fourier data act the accuracy of HT methods. Numerical examples are provided.
ContributorsLubold, Shane Michael (Author) / Gelb, Anne (Thesis director) / Cochran, Doug (Committee member) / Viswanathan, Aditya (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The 284 residents of the rural community of Cooper Landing, Alaska are subject to many health risks. Cooper Landing is home to a large population of older adults whom suffer from a disproportionate physician to population ratio. Limited rural health care infrastructure and poor physician to population ratios are not conducive to primary health care implementation. Limited access to primary health care is linked to vast health disparities in rural communities like Cooper Landing. Preventive care and healthy lifestyle incentives have been largely overlooked as viable alternatives to primary health care access. In Cooper Landing, implementation of such incentives has proved to be either underutilized or unsuccessful by the private, public, and nonprofit sectors. To remedy this, the Rural Alaska Wellness Project (RAWP), a nonprofit organization, carries out its mission to promote health and wellness by providing a community resource for preventive care in Cooper Landing, Alaska. RAWP intends to increase the availability of the Cooper Landing School's gymnasium for community use, donate fitness equipment, implement TeleHealth initiatives, and host annual health fairs through grant funding, generous donations, and fundraising activities.
ContributorsNolan, Erin Sachi (Author) / Shockley, Gordon (Thesis director) / Hrncir, Shawn (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / Department of Psychology (Contributor)
Created2015-05
Description
The Patient Protection and Affordable Care Act of 2010 was created as an overhaul of the US Healthcare system with a goal of getting all American citizens and legal residents healthcare that was both affordable and of good quality. Now almost a year removed from it going into effect, this study looks to determine how the ACA has worked in getting individuals who were previously uninsured and required charitable-based healthcare into health insurance programs within a small population in Arizona. This study evaluates the type of insurance program, the quality and ease of access of the care, and the general affordability of the healthcare. This study found that 75% of individuals surveyed had gained health insurance in the last year, with 95% expecting to be insured for 2015. The large majority rated the quality of their care and the accessibility of it as good, with corresponding increased use of primary care providers as a health resource. The affordability of the care was still a major issue for those who were found to be uninsured and for those who were insured. Despite affordability issues, self-reported measures of general health and access to care were reported by the majority of respondents to have improved over the last 12 months.
ContributorsHonan, Timothy Francis (Author) / Ketcham, Jonathan (Thesis director) / Jehn, Megan (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2015-05
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
Currently in synthetic biology only the Las, Lux, and Rhl quorum sensing pathways have been adapted for broad engineering use. Quorum sensing allows a means of cell to cell communication in which a designated sender cell produces quorum sensing molecules that modify gene expression of a designated receiver cell. While useful, these three quorum sensing pathways exhibit a nontrivial level of crosstalk, hindering robust engineering and leading to unexpected effects in a given design. To address the lack of orthogonality among these three quorum sensing pathways, previous scientists have attempted to perform directed evolution on components of the quorum sensing pathway. While a powerful tool, directed evolution is limited by the subspace that is defined by the protein. For this reason, we take an evolutionary biology approach to identify new orthogonal quorum sensing networks and test these networks for cross-talk with currently-used networks. By charting characteristics of acyl homoserine lactone (AHL) molecules used across quorum sensing pathways in nature, we have identified favorable candidate pathways likely to display orthogonality. These include Aub, Bja, Bra, Cer, Esa, Las, Lux, Rhl, Rpa, and Sin, which we have begun constructing and testing. Our synthetic circuits express GFP in response to a quorum sensing molecule, allowing quantitative measurement of orthogonality between pairs. By determining orthogonal quorum sensing pairs, we hope to identify and adapt novel quorum sensing pathways for robust use in higher-order genetic circuits.
ContributorsMuller, Ryan (Author) / Haynes, Karmella (Thesis director) / Wang, Xiao (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Life Sciences (Contributor)
Created2015-05