A Statistical Analysis Of The Roulette Martingale System: Examples, Formulas And Simulations With R,
2019
University of Nevada, Las Vegas
A Statistical Analysis Of The Roulette Martingale System: Examples, Formulas And Simulations With R, Peter Pflaumer
International Conference on Gambling & Risk Taking
Some gamblers use a martingale or doubling strategy as a way of improving their chances of winning. This paper derives important formulas for the martingale strategy, such as the distribution, the expected value, the standard deviation of the profit, the risk of a loss or the expected bet of one or multiple martingale rounds. A computer simulation study with R of the doubling strategy is presented. The results of doubling to gambling with a constant sized bet on simple chances (red or black numbers, even or odd numbers, and low (1 – 18) or high (19 – 36) numbers) and …
Responding To Some Challenges Posed By The Re-Identification Of Anonymized Personal Data,
2019
Rivier University
Responding To Some Challenges Posed By The Re-Identification Of Anonymized Personal Data, Herman T. Tavani, Frances S. Grodzinsky
Computer Ethics - Philosophical Enquiry (CEPE) Proceedings
In this paper, we examine a cluster of ethical controversies generated by the re-identification of anonymized personal data in the context of big data analytics, with particular attention to the implications for personal privacy. Our paper is organized into two main parts. Part One examines some ethical problems involving re-identification of personally identifiable information (PII) in large data sets. Part Two begins with a brief description of Moor and Weckert’s Dynamic Ethics (DE) and Nissenbaum’s Contextual Integrity (CI) Frameworks. We then investigate whether these frameworks, used together, can provide us with a more robust scheme for analyzing privacy concerns that …
Kelly Fraction Estimation For Multiple Correlated Bets,
2019
DePaul University
Kelly Fraction Estimation For Multiple Correlated Bets, William Chin
International Conference on Gambling & Risk Taking
It is well-known that expected portfolio growth is maximized by maximizing
expected logarithmic utility. This investment criterion is known as Kelly betting.
It has many optimality properties but is considered to be risky. Blackjack
teams and other advantage gamblers practice a fraction of the Kelly optimal to
decrease risk. Some hedge fund managers are thought to practice according to
Kelly principles. We use a continuous multivariate Geometric Brownian motion
model and present an interval estimate for the historical fraction for a portfolio
of correlated bets, possibly including a risk-free asset. Historical data comes
from a range of sources and the …
Dietary Inflammatory Index And Odds Of Colorectal Cancer And Colorectal Adenomatous Polyps In A Case-Control Study From Iran,
2019
University of South Carolina
Dietary Inflammatory Index And Odds Of Colorectal Cancer And Colorectal Adenomatous Polyps In A Case-Control Study From Iran, Pegah Rafiee, Nitin Shivappa, James R. Hébert, Saeede Jaafari Nasab, Alireza Bahrami, Azita Hekmatdoost, Bahram Rashidkhani, Amir Sadeghi, Mohammad Houshyari, Ehsan Hejazi
Faculty Publications
Background: Chronic inflammation is implicated in the development of colorectal cancer (CRC) and its precursor; colorectal adenomatous polyps (CAP). Some dietary factors are important triggers for systemic inflammation. Therefore, the present study aimed to investigate the association between the dietary inflammatory index (DII®) and the risk of CRC and CAP in an Iranian case-control study. Methods: 134 newly diagnosed CRC patients, 130 newly diagnosed CAP patients, and 240 hospitalized controls were recruited using convenience sampling. Energy-adjusted DII (E-DII) scores were computed based on dietary intake assessed using a reproducible and valid 148-item food frequency questionnaire. Logistic regression models …
Probabilistic And Statistical Prediction Models For Alzheimer’S Disease And Statistical Analysis Of Global Warming,
2019
University of South Florida
Probabilistic And Statistical Prediction Models For Alzheimer’S Disease And Statistical Analysis Of Global Warming, Maryam Ibrahim Habadi
USF Tampa Graduate Theses and Dissertations
The importance and applicability of data-driven statistical models have increased significantly. This current study, we have utilized statistical techniques in interdisciplinary research, including environmental and health.
Environmentally, global warming is considered one of the critical issues facing our planet. It is the increase in average global temperatures caused mostly by increases in Carbon Dioxide CO2. The excessive rise of carbon dioxide from the average level as the side effect of the industrial revolution has a significant impact on blocking the heat and increase the temperature within the Earth’s atmosphere. Based on the record of total CO2 emissions …
Detection Of Sand Boils From Images Using Machine Learning Approaches,
2019
University of New Orleans
Detection Of Sand Boils From Images Using Machine Learning Approaches, Aditi S. Kuchi
LSU New Orleans Theses and Dissertations
Levees provide protection for vast amounts of commercial and residential properties. However, these structures degrade over time, due to the impact of severe weather, sand boils, subsidence of land, seepage, etc. In this research, we focus on detecting sand boils. Sand boils occur when water under pressure wells up to the surface through a bed of sand. These make levees especially vulnerable. Object detection is a good approach to confirm the presence of sand boils from satellite or drone imagery, which can be utilized to assist in the automated levee monitoring methodology. Since sand boils have distinct features, applying object …
Forward Selection Via Distance Correlation,
2019
Rose-Hulman Institute of Technology
Forward Selection Via Distance Correlation, Ty Adams
Mathematical Sciences Technical Reports (MSTR)
No abstract provided.
Advances In Measurement Error Modeling,
2019
Southern Methodist University
Advances In Measurement Error Modeling, Linh Nghiem
Statistical Science Theses and Dissertations
Measurement error in observations is widely known to cause bias and a loss of power when fitting statistical models, particularly when studying distribution shape or the relationship between an outcome and a variable of interest. Most existing correction methods in the literature require strong assumptions about the distribution of the measurement error, or rely on ancillary data which is not always available. This limits the applicability of these methods in many situations. Furthermore, new correction approaches are also needed for high-dimensional settings, where the presence of measurement error in the covariates adds another level of complexity to the desirable structure …
Reaching Out To Behavioral Science Audiences Via Meta-Analysis,
2019
St. John Fisher University
Reaching Out To Behavioral Science Audiences Via Meta-Analysis, Bruce E. Blaine
Statistics Faculty/Staff Publications
Exposing students to meta-analysis supports ASA Curriculum Guidelines regarding the importance of data science, working with real and unusual data, diverse approaches to statistical models, and building relationships with allied disciplines. This poster present some of the benefits to students from taking an undergraduate meta-analysis course. The course is a 300-level statistics elective (class size: 12-18) that enrolls statistics majors and students from social and allied health science majors who are working on a data science minor. The course assumes one prior statistics course, and is taught using R. Benefits to students include: learning how to read primary research papers …
Samples, Unite! Understanding The Effects Of Matching Errors On Estimation Of Total When Combining Data Sources,
2019
Southern Methodist University
Samples, Unite! Understanding The Effects Of Matching Errors On Estimation Of Total When Combining Data Sources, Benjamin Williams
Statistical Science Theses and Dissertations
Much recent research has focused on methods for combining a probability sample with a non-probability sample to improve estimation by making use of information from both sources. If units exist in both samples, it becomes necessary to link the information from the two samples for these units. Record linkage is a technique to link records from two lists that refer to the same unit but lack a unique identifier across both lists. Record linkage assigns a probability to each potential pair of records from the lists so that principled matching decisions can be made. Because record linkage is a probabilistic …
The Long-Run Effects Of Tropical Cyclones On Infant Mortality,
2019
The University of San Francisco
The Long-Run Effects Of Tropical Cyclones On Infant Mortality, Isabel Miranda
Master's Theses
In the United States alone, each tropical cyclone causes an average of $14.6 billion worth of damages. In addition to the destruction of physical infrastructure, natural disasters also negatively impact human capital formation. These losses are often more difficult to observe, and therefore, are over looked when quantifying the true costs of natural disasters. One particular effect is an increase in infant mortality rates, an important indicator of a country’s general socioeconomic level. This paper utilizes a model created by Anttila-Hughes and Hsiang, that takes advantage of annual variation in tropical cyclones using annual spatial average maximum wind speeds and …
Characterizing The Permanence And Stationary Distribution For A Family Of Malaria Stochastic Models,
2019
Virginia Commonwealth University
Characterizing The Permanence And Stationary Distribution For A Family Of Malaria Stochastic Models, Divine Wanduku
Biology and Medicine Through Mathematics Conference
No abstract provided.
Decision Trees And Their Application For Classification And Regression Problems,
2019
Missouri State University
Decision Trees And Their Application For Classification And Regression Problems, Obinna Chilezie Njoku
Graduate Theses/Dissertations
Tree methods are some of the best and most commonly used methods in the field of statistical learning. They are widely used in classification and regression modeling. This thesis introduces the concept and focuses more on decision trees such as Classification and Regression Trees (CART) used for classification and regression predictive modeling problems. We also introduced some ensemble methods such as bagging, random forest and boosting. These methods were introduced to improve the performance and accuracy of the models constructed by classification and regression tree models. This work also provides an in-depth understanding of how the CART models are constructed, …
Measuring Clinical Weight Loss In Young Children With Severe Obesity: Comparison Of Outcomes Using Zbmi, Modified Zbmi, And Percent Of 95th Percentile,
2019
Children's Mercy Kansas City
Measuring Clinical Weight Loss In Young Children With Severe Obesity: Comparison Of Outcomes Using Zbmi, Modified Zbmi, And Percent Of 95th Percentile, Carolyn Bates
Research Days
No abstract provided.
Selecting Maximally-Predictive Deep Features To Explain What Drives Fixations In Free-Viewing,
2019
University of Tübingen
Selecting Maximally-Predictive Deep Features To Explain What Drives Fixations In Free-Viewing, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge
MODVIS Workshop
No abstract provided.
Predictive Performance Of Existing Population Pharmacokinetic Models Of Tacrolimus In Pediatric Kidney Transplant Recipients,
2019
Children's Mercy Hospital, Kansas City, MO
Predictive Performance Of Existing Population Pharmacokinetic Models Of Tacrolimus In Pediatric Kidney Transplant Recipients, Alenka Chapron
Research Days
No abstract provided.
Quantifying Sleep Architecture For Pediatric Hypersomnia Conditions,
2019
Colorado School of Mines
Quantifying Sleep Architecture For Pediatric Hypersomnia Conditions, Alicia K. Colclasure
Biology and Medicine Through Mathematics Conference
No abstract provided.
Market Research On Student Concert Attendance At Bgsu's College Of Musical Arts,
2019
Bowling Green State University
Market Research On Student Concert Attendance At Bgsu's College Of Musical Arts, Mary Solomon
Honors Projects
Bowling Green State University boasts a well established College of Musical Arts which holds concerts performed by esteemed faculty, prestigious guest artists, and students. The school hosts these events in Kobacker Hall and Bryan Recital Hall which can accommodate up to 800 and 250 audience members, respectively. However, performances in Kobacker hall only fill one- fourth of the 800 seats, on average. Why is this so? This project aims to investigate the factors that influence students’ decisions to attend concerts at the College of Musical Arts (CMA). By methodology of survey research and statistical analysis, this project will look into …
Mapping In The Humanities: Gis Lessons For Poets, Historians, And Scientists,
2019
CUNY Brooklyn College
Mapping In The Humanities: Gis Lessons For Poets, Historians, And Scientists, Emily W. Fairey
Open Educational Resources
User-friendly Geographic Information Systems (GIS) is the common thread of this collection of presentations, and activities with full lesson plans. The first section of the site contains an overview of cartography, the art of creating maps, and then looks at historical mapping platforms like Hypercities and Donald Rumsey Historical Mapping Project. In the next section Google Earth Desktop Pro is introduced, with lessons and activities on the basics of GE such as pins, paths, and kml files, as well as a more complex activity on "georeferencing" an historic map over Google Earth imagery. The final section deals with ARCGIS Online …
Prospective Evaluation Of A Population Pharmacokinetic Model Of Pantoprazole For Obese Children,
2019
Children's Mercy Hospital, Kansas City, MO
Prospective Evaluation Of A Population Pharmacokinetic Model Of Pantoprazole For Obese Children, Alenka Chapron
Research Days
No abstract provided.
