Physical Sciences and Mathematics Commons^™

Session 2-1-C: Gambling Distortions And The Brain Reward System, Luke Clark

International Conference on Gambling & Risk Taking

Impulsive choice in PG as possible index of vmPFC dysfunction

Functional imaging of gambling near-misses

Gambling distortions following brain injury (ventromedial PFC vs insula damage)

Session 1-4-D: Leading Together: The Evolution Of Responsible Gambling In Canada, Jim Engel, Paul Pellizzari, Paul W. Smith

International Conference on Gambling & Risk Taking

Agenda

Background: Gambling in Canada
Responsible Gambling Framework
The notion of “player sustainability”
Video Lottery Terminals (VLTs)
Internet gambling
Branding RG
Data analytics
Voluntary Self-Exclusion
RG Standards
Leading together: collaboration across jurisdictions

Session 1-4-A: Results From The Swedish Longitudinal Gambling Study (Swelogs): Changes Between 1998, 2009, And 2010, Ula Romild, Jessika Svensson

International Conference on Gambling & Risk Taking

Public Health Objectives

1. The overarching aim of Sweden’s national public health policy is to create social conditions that will ensure good health, on equal terms for the entire population.

2. The aim for society’s measures against problem gambling is to reduce harm from exaggerated gambling.

Session 1-4-A: Comparing Longitudinal Studies Of Gambling: Methods & Findin, Rachel A. Volberg

International Conference on Gambling & Risk Taking

What do we know about risk factors for PG?

Vast majority of research carried out on PG risk factors has involved cross-sectional surveys

PG status at a single point in time statistically correlated with behaviors & characteristics assessed at the same time

Cannot resolve the “chicken and egg” problem

• Does PG precede other disorders?
• Do other disorders precede PG?
• Or does one underlying condition account for both?

Session 1-4-A: Pathways Of Gambling Problem Severity: Follow-Up From A General Population Survey, Sylvia Kairouz, Christelle Luce

International Conference on Gambling & Risk Taking

Study objectives

Describe trajectories of change in gambling patterns and problems among a cohort of gamblers;

Model change over time based on life events.

Session 1-4-B: Gambling And Marijuana Use In The Netherlands: Is Legalization The Best Tool For Dealing With "Naughty Habits?", William N. Thompson, Laura K. Thompson

International Conference on Gambling & Risk Taking

In 1976, the Netherlands embraced two policy initiatives which encompassed similar objectives. The policies sought to control “undesired substances” via the process of legalization. One legalization process involved casino gambling. The policies have sometimes led to desired results (the right road), while at other times they have led to undesirable results (the wrong road). Now in 2013, without an observable crossroad or even fork in the road, The Netherlands is poised to deviate from a right road to travel down a wrong road by placing rather severe restrictions upon the operations of “Coffee Houses” which have been “serving” customers measured …

Session 1-3-E: Hitting The Sweet Spot: Lottery Promotion And Vulnerability, Elisabeth Papineau, Jean-François Biron, Fanny Lemetayer, Amadou Barry

International Conference on Gambling & Risk Taking

Literature about lottery marketing and vulnerability

Lottery advertising in Quebec

Project phases

Results

Conclusion

Session 1-3-F: The Victorian Gambling Study Identifying And Predicting Risks, Rosa Billi

International Conference on Gambling & Risk Taking

Overview

Background

Study design

• Incidence
• Transitions
• Risk & protective
• Co morbidities

Session 1-2-F: Rationality And Risk Intelligence In Binary Betting, Raph Di Guisto, Aaron C. Brown, Nick Maughan

International Conference on Gambling & Risk Taking

We analyze 1.6 million binary bets on financial markets totaling $600 million in stakes, placed by 21,000 bettors at a large Internet betting site. The data set is unusually large and complete, plus has one additional important advantage: we can obtain objective independent estimates of the ex ante probability of winning each bet, using data from financial markets. This allows us to distinguish bettor profit due to superior prediction of financial events from bettor profit due to exploiting ex ante favorable odds situations. We focus on the degree or type of skill possessed by bettors (if any), and the amount …

Session 1-2-F: Sports As An Alternative Asset Class: Gambling As An Investment, Brendan Poots

International Conference on Gambling & Risk Taking

Genesis of the idea came in 2007 in NYC when studying at Columbia. The trading of sports utilising strategies and other traditional financial market practices was identified as a burgeoning opportunity.

Towards the end of 2007 a private Fund with owner’s capital was started.

Global Financial Crisis in 2008 – all asset classes lost value. Diversification did not work. The Olympics, the Superbowl, the World Series and all the Grand Slam tennis and golf tournaments went ahead unaffected.

Priomha Capital Sports Hedge Fund Founded in 2010

Global HQ – Melbourne

Trading office – London & Las Vegas (2014)

Priomha Capital …

Session 1-2-A: A Comparison Of Outcome Efficacy Between Residential And Intensive Outpatient Treatment For Disordered Gambling As Measured By Gamtoms, Reece Middleton

International Conference on Gambling & Risk Taking

Conclusions

Whereas, it is apparent that each of the Programs is clearly efficacious, as evidenced by major improvements in all evaluated life areas for clients of both, it seems that Residential Treatment, for those able to accomplish it, would have the Advantage. It is further indicated that continued involvement in recovery-oriented activity, such as, Aftercare and 12-Step Programs produces sought-after results for all participants.

Session 1-2-A: Building, Maintaining And Evaluating A Statewide Treatment Program For Problem Gambling, Timothy W. Fong

International Conference on Gambling & Risk Taking

Shows how to build, maintain and evaluate programs for problem gambling

Program: The 15th International Conference On Gambling & Risk Taking, University Of Nevada, Las Vegas, University Of Nevada, Reno

International Conference on Gambling & Risk Taking

Listing of presentations, events, and sponsors

Rotman Institute Speaker: Feminist Neo-Materialism And The Future Of Phenomenology, Dorothea Olkowski

Future Directions in Feminist Phenomenology

No abstract provided.

Differential Effects Of Membrane Order On Membrane Permeability, Miranda J. Bradley, Marshall J. Colville, Miles J. Crumley, Drake C. Mitchell

Student Research Symposium

Phospholipid membranes segregate into lateral domains of liquid ordered (lo) and liquid disordered (ld) phases when cholesterol and mixed species of lipids with saturated and unsaturated acyl chains are present. To examine membrane permeability and rate of vesicle rupture by Triton in pure lo, pure ld, and mixed lo/ld phases, LUVs were prepared based on the ternary phase diagram of POPC, sphingomyelin, and cholesterol. These LUVs were loaded with 2mM carboxyfluorescein (CF) and formed by extrusion at 65oC. Using a stopped-flow fluorometer, changes in CF fluorescence were measured when LUVs were exposed to sudden osmotic gradients, pH gradients, or 0.1% …

Training An Asymmetric Signal Perceptron In An Artificial Chemistry, Peter Banda

Student Research Symposium

Autonomous learning implemented purely by means of a synthetic chemical system has not been previously realized. Learning promotes reusability, and minimizes the system design to simple input-output specification. In this poster, I present a simulated chemical system, the first full-featured implementation of a perceptron in an artificial (simulated) chemistry, which can successfully learn all 14 linearly separable logic functions. A perceptron is the simplest system capable of learning inspired by the functioning of a biological neuron. My newest model called the asymmetric signal perceptron (ASP) is, as opposed to its predecessors such as the weight-race perceptron (WRP), substantially simpler by …

An Alternative Ribozyme For The Rna Hypercycle, Ishak Elkhal

Student Research Symposium

In the quest to forward understanding of the prebiotic world (specifically, the RNA World Hypothesis), one of the most interesting paradigms to consider is the potential for cooperative networks that may have driven molecular evolution forward. Such a network may exist as an RNA hypercycle, as proposed by Eigen (1977). Much progress has been made towards an RNA hypercycle-like system, especially using the Azoarcus ribozyme system demonstrated by Vaidya et al. (2012). The current work is dedicated to constructing a second model as a cooperative RNA network, utilizing a group I intron from Coxiella burnetii (Cbu1917). The intron was constructed …

Using Functional Data Analysis To Evaluate Effect Of Shade On Body Temperature Of Feedlot Heifers During Environmental Heat Stress, F. Yang, A. M. Parkhurst, C. N. Lee, T. M. Brown-Brandl, P. E. Hillman

Conference on Applied Statistics in Agriculture

Heat stress can be a serious problem for cattle. Body temperature (Tb) is a good measure of an animal’s thermo-regulatory response to an environmental thermal challenge. Previous studies found that Tb increases in response to increasing ambient temperature in a controlled chamber. However, when animals are in an uncontrolled environment, Tb is subject to many uncontrolled environmental factors, such as sunshade, wind, and humidity, that increase variation in the data. Hence, functional data analysis (FDA) was applied to analyze the data with uncontrolled environmental factors as curves in the whole series of days in this study. Breed (Angus, MARCIII, MARC-I, …

Detecting Factors Associated With Springwheat Yield Stability In South Dakota Environments, Jixiang Wu, Karl Glover, William Berzonsky

Conference on Applied Statistics in Agriculture

Conventional yield stability analyses are focused on yield stability itself by using single linear regression method and/or additive main effect and multiplicative interaction (AMMI) analysis. It is likely that yield stability for a genotype is associated with many factors such as fertilizer level, soil types, weather conditions, and/or yield components. Detection of factors highly associated with yield stability, therefore, will help breeders develop cultivars adapted to diverse environments or to specific environments. In this study, we conducted correlation analysis based on both environments and genotypes for a data set with 22 spring wheat genotypes, which were evaluated in 18 environments …

Estimation Of Dose Requirements For Extreme Levels Of Efficacy, Mark West, Guy Hallman

Conference on Applied Statistics in Agriculture

The objective of this paper is to explore the extent of how dose-response models may be used to estimate extreme levels of efficacy for controlling insect pests and possibly other uses. Probit-9 mortality (99.9968% mortality) is a standard for treatment effectiveness in tephritid fruit fly research, and has been adopted by the United States Department of Agriculture for fruit flies and other pests. Data taken from the phytosanitary treatment (PT) literature are analyzed. These data are used to fit dose-response models with logit, probit and complimentary log-log links. The effectiveness of these models for predicting extreme levels of efficacy is …

A Simulation Study Of The Small Sample Properties Of Likelihood Based Inference For The Beta Distribution, Kevin Thompson, Edward Gbur

Conference on Applied Statistics in Agriculture

Researchers often collect proportion data that cannot be interpreted as arising from a set of Bernoulli trials. Analyses based on the beta distribution may be appropriate for such data. The SAS® GLIMMIX procedure provides a tool for these analyses using a likelihood based approach in the context of generalized linear mixed models. Since the t and F-distribution based inference employed in this approach relies on asymptotic properties, it is important to understand the sample sizes required to obtain reasonable approximate answers to inference questions. In addition, the complexity of the likelihood functions can lead to numerical issues for optimization algorithms …

Non-Normal Data In Agricultural Experiments, W. W. Stroup

Conference on Applied Statistics in Agriculture

Advances in computers and modeling over the past couple of decades have greatly expanded options for analyzing non-normal data. Prior to the 1990’s, options were largely limited to analysis of variance (ANOVA), either on untransformed data or after applying a variance stabilizing transformation. With or without transformations, this approach depends heavily on the Central Limit Theorem and ANOVA’s robustness. The availability of software such as R’s lme4 package and SAS® PROC GLIMMIX changed the conversation with regard to non-normal data. With expanded options come dilemmas. We have software choices – R and SAS among many others. Models have conditional and …

Multivariate Statistical Analysis Of Terrestrial Invertebrate Index Of Biotic Integrity, Bahman Shafii, William J. Price, Norm Merz, Timothy D. Hatten

Conference on Applied Statistics in Agriculture

The Index of Biotic Integrity (IBI) is designed to measure the changes in ecological and environmental conditions as affected by human disturbances. In practice, the IBI is used in various ecological applications to detect divergence in biological integrity attributable to human actions. Last year during this conference, methodologies for developing an Avian Index of Biotic Integrity (A-IBI) were presented and discussed. The objective of this paper is to demonstrate the construction and statistical evaluation of a multi-metric terrestrial Invertebrate Index of Biotic Integrity (I-IBI) using the same multivariate statistical techniques. Canonical correlation analyses were utilized to select pertinent invertebrate metrics …

Characterizing Benthic Macroinvertebrate Community Responses To Nutrient Addition Using Nmds And Baci Analyses, Bahman Shafii, William J. Price, G. Wayne Minshall, Charlie Holderman, Paul J. Anders, Gary Lester, Pat Barrett

Conference on Applied Statistics in Agriculture

Nonmetric multidimensional scaling (NMDS) is an ordination technique which is often used for information visualization and exploring similarities or dissimilarities in ecological data. In principle, NMDS maximizes rank-order correlation between distance measures and distance in the ordination space. Ordination points are adjusted in a manner that minimizes stress, where stress is defined as a measure of the discordance between the two kinds of distances. Before and After Control Impact (BACI) is a classical analysis of variance method for measuring the potential influence of an environmental disturbance. Such effects can be assessed by comparing conditions before and after a planned activity. …

Thou Shall Not Brush Your Teeth While Eating Breakfast: A 7- Step Program For Researchers Previously Hurt In Data Analysis, Edzard Van Santen

Conference on Applied Statistics in Agriculture

After years of providing statistical advice to fellow faculty members and graduate students, I have come to realize that it is not necessarily the big issues, but lack of knowledge of basic data analysis principles that get my clients into trouble. My claim is that if researchers and students internalized two basic definitions they would not have any problems analyzing most of their experiments. The definitions of Experimental Unit (EU) as the smallest physical unit to which a treatment may be applied and Experimental Error (Exp. Err.) as the variation among EUs treated alike are the basis for successful data …

Comparing Functional Data Analysis And Hysteresis Loops When Testing Treatments For Reducing Heat Stress In Dairy Cows, S. Maynes, A. M. Parkhurst, J. B. Gaughan, T. L. Mader

Conference on Applied Statistics in Agriculture

Various techniques are commonly used to reduce heat stress, including sprayers and misters, shading, and changes in feed. Oftentimes studies are performed where researchers do not control the times when animals use shading or other means available to reduce heat stress, making it hard to test differences between treatments. Two methods are used on data from a study where Holstein cows were given free access to weight activated “cow showers.” Functional data analysis can be used to model body temperature as a function of time and environmental variables such as the Heat Load Index. Differences between treatment groups can be …

Five Things I Wish My Mother Had Told Me, About Statistics That Is, Philip M. Dixon

Conference on Applied Statistics in Agriculture

I present five short stories, each describing something I wish I had known and appreciated earlier in my statistical life. The five are Simpson's paradox is everywhere, numerical optimization algorithms can be deceived, you can't always trust the Satterthwaite approximation, BLUP's are wonderful things, and It's good to know Reverend Bayes.

On The Small Sample Behavior Of Generalized Linear Mixed Models With Complex Experiments, Julie Couton, Walt Stroup

Conference on Applied Statistics in Agriculture

Generalized linear mixed models (GLMMs), regardless of the software used to implement them (R, SAS, etc.), can be formulated as conditional or marginal models and can be computed using pseudo-likelihood, penalized quasi-likelihood, or integral approximation methods. While information exists about the small sample behavior of GLMMs for some cases- notably RCBDs with Binomial or count data- little is known about GLMMs for continuous proportions (e.g. Beta) or time-to-event (e.g. Gamma) data or for more complex designs such as the split-plot. In this presentation we review the major model formulation and estimation options and compare their small sample performance for cases …

Editor's Preface And Table Of Contents, Weixing Song

Conference on Applied Statistics in Agriculture

These proceedings contain papers presented in the twenty-fifth annual Kansas State University Conference on Applied Statistics in Agriculture, held in Manhattan, Kansas, April 28 - April 30, 2013.

Century Wide Hydrologic Trends And Shifts In Colorado River Basin, Soumya Sagarika, Ajay Kalra, Sajjad Ahmad

College of Engineering: Graduate Celebration Programs

To evaluate the long-term trends and step (abrupt change) changes in three hydrologic variables: temperature, precipitation, and streamflow over a century wide time frame in Colorado River Basin.