2014 Reporting Of Sexual Assault: Institutional Comparisons, 2017 Cornell University
2014 Reporting Of Sexual Assault: Institutional Comparisons, M. E. Karns
Research Studies and Reports
Institutions of higher education are required to submit annual reports of sexual assault crimes to the Department of Education under the Clery Act. The Department of Education makes this data publicly available. Two primary measures are used to assess reporting of assault on campus: the Assault Reporting Ratio (ARR) and the Reporting Rate per 10,000 students (R10K). These measures are easily calculated and can be used to assess practices and policies that impact the reporting of sexual assault on campus.
The ARR and R10K are rate comparisons, a method widely used in public health. These rate comparisons measure how ...
An Administrative View Of Model Uncertainty In Public Health, 2016 University of New Hampshire
An Administrative View Of Model Uncertainty In Public Health, Clark D. Carrington
RISK: Health, Safety & Environment
Dr. Carrington reviews several ways to deal with model uncertainty, including those failing to acknowledge any use of models. He then evaluates six such methods with regard to, e.g., transparency and cost of execution.
A Traders Guide To The Predictive Universe- A Model For Predicting Oil Price Targets And Trading On Them, 2016 Washington University in St. Louis
A Traders Guide To The Predictive Universe- A Model For Predicting Oil Price Targets And Trading On Them, Jimmie Harold Lenz
Doctor of Business Administration Dissertations
At heart every trader loves volatility; this is where return on investment comes from, this is what drives the proverbial “positive alpha.” As a trader, understanding the probabilities related to the volatility of prices is key, however if you could also predict future prices with reliability the world would be your oyster. To this end, I have achieved three goals with this dissertation, to develop a model to predict future short term prices (direction and magnitude), to effectively test this by generating consistent profits utilizing a trading model developed for this purpose, and to write a paper that anyone with ...
Effects Of Prescribed Fire On The Forest Structure And Composition At Land Between The Lakes National Recreation Area, Ky, Miranda Thompson
Honors College Theses
With a regular fire regime present on the landscape, open canopies and herbaceous understories characterize oak forests in western Kentucky. However, a long period of fire suppression has changed the structure and composition of many forests in the Southeast. Forest managers at Land Between the Lakes have started using prescribed fire in an attempt to replicate aspects of a natural fire regime and increase the amount of open oak woodlands and savannas in the area. The prescribed fires in our study area were conducted during the dormant season and are very low intensity ground fires.
To understand how prescribed fire ...
Cost Sensitive Online Multiple Kernel Classification, 2016 Singapore Management University
Cost Sensitive Online Multiple Kernel Classification, Doyen Sahoo, Peilin Zhao, Hoi, Steven C. H.
Research Collection School Of Information Systems
Learning from data streams has been an important open research problem in the era ofbig data analytics. This paper investigates supervised machine learning techniques formining data streams with application to online anomaly detection. Unlike conventionalmachine learning tasks, machine learning from data streams for online anomaly detectionhas several challenges: (i) data arriving sequentially and increasing rapidly, (ii) highlyclass-imbalanced distributions; and (iii) complex anomaly patterns that could evolve dynamically.To tackle these challenges, we propose a novel Cost-Sensitive Online MultipleKernel Classification (CSOMKC) scheme for comprehensively mining data streams anddemonstrate its application to online anomaly detection. Specifically, CSOMKC learns akernel-based cost-sensitive prediction model ...
Converting A Logistic Model Odds Ratio To A Risk Ratio, 2016 Arizona State University
Converting A Logistic Model Odds Ratio To A Risk Ratio, Joseph M. Hilbe
Joseph M Hilbe
Hilbe Mcd Errata 03nov2016 Update, 2016 Selected Works
Hilbe Mcd Errata 03nov2016 Update
Joseph M Hilbe
Modeling Count Data Rcode Update 15sep2016, 2016 Arizona State University
Modeling Count Data Rcode Update 15sep2016, Joseph M. Hilbe
Joseph M Hilbe
Addition To Pglr Chap 6, 2016 Arizona State University
Addition To Pglr Chap 6, Joseph M. Hilbe
Joseph M Hilbe
Testing Homogeneity In Semiparametric Mixture Case-Control Models, 2016 Fred Hutchinson Cancer Research Center
Testing Homogeneity In Semiparametric Mixture Case-Control Models, C Z. Di, G Kc Chan, C Zheng, Ky Liang
Combined Computational-Experimental Design Of High-Temperature, High-Intensity Permanent Magnetic Alloys With Minimal Addition Of Rare-Earth Elements, 2016 Florida International University
Combined Computational-Experimental Design Of High-Temperature, High-Intensity Permanent Magnetic Alloys With Minimal Addition Of Rare-Earth Elements, Rajesh Jha
FIU Electronic Theses and Dissertations
AlNiCo magnets are known for high-temperature stability and superior corrosion resistance and have been widely used for various applications. Reported magnetic energy density ((BH) max) for these magnets is around 10 MGOe. Theoretical calculations show that ((BH) max) of 20 MGOe is achievable which will be helpful in covering the gap between AlNiCo and Rare-Earth Elements (REE) based magnets. An extended family of AlNiCo alloys was studied in this dissertation that consists of eight elements, and hence it is important to determine composition-property relationship between each of the alloying elements and their influence on the bulk properties.
In the present ...
Walking To Recovery - The Effects Of Postsurgical Ambulation On Patient Recovery Times, 2016 University of Tennessee, Knoxville
Walking To Recovery - The Effects Of Postsurgical Ambulation On Patient Recovery Times, Trent William Stethen
University of Tennessee Honors Thesis Projects
No abstract provided.
Does Academic Performance Predict Workplace Productivity?, 2016 Bryant University
Does Academic Performance Predict Workplace Productivity?, Jodie-Gaye Hunter
Honors Projects in Economics
This research examines if college GPA affects productivity and compensation in the workplace. It uses data collected from a survey of approximately 23,000 Bryant University graduates in different stages of their career. About 10 percent of the alumni surveyed completed the survey. The econometric model used in this study allows estimating the effect of GPA on income after controlling for various demographic and socioeconomic variables, including education, major, occupation, gender, among others. The empirical work provides evidence that GPA has a positive and statistically significant impact on workplace productivity for females, but GPA seems to be a weaker predictor ...
Hilbe-Pglr-Errata-And-Comments, 2016 Arizona State University
Hilbe-Pglr-Errata-And-Comments, Joseph M. Hilbe
Joseph M Hilbe
Hpcnmf: A High-Performance Toolbox For Non-Negative Matrix Factorization, 2016 Fox Chase Cancer Center
Hpcnmf: A High-Performance Toolbox For Non-Negative Matrix Factorization, Karthik Devarajan, Guoli Wang
COBRA Preprint Series
Non-negative matrix factorization (NMF) is a widely used machine learning algorithm for dimension reduction of large-scale data. It has found successful applications in a variety of fields such as computational biology, neuroscience, natural language processing, information retrieval, image processing and speech recognition. In bioinformatics, for example, it has been used to extract patterns and profiles from genomic and text-mining data as well as in protein sequence and structure analysis. While the scientific performance of NMF is very promising in dealing with high dimensional data sets and complex data structures, its computational cost is high and sometimes could be critical for ...
Models For Hsv Shedding Must Account For Two Levels Of Overdispersion, 2016 University of Washington - Seattle Campus
Models For Hsv Shedding Must Account For Two Levels Of Overdispersion, Amalia Magaret
UW Biostatistics Working Paper Series
We have frequently implemented crossover studies to evaluate new therapeutic interventions for genital herpes simplex virus infection. The outcome measured to assess the efficacy of interventions on herpes disease severity is the viral shedding rate, defined as the frequency of detection of HSV on the genital skin and mucosa. We performed a simulation study to ascertain whether our standard model, which we have used previously, was appropriately considering all the necessary features of the shedding data to provide correct inference. We simulated shedding data under our standard, validated assumptions and assessed the ability of 5 different models to reproduce the ...
￼Analysis Of The Precipitation Detection Algorithm For The Geonor T-200b Precipitation Gauge To Improve Accuracy, 2016 San Diego State University
￼Analysis Of The Precipitation Detection Algorithm For The Geonor T-200b Precipitation Gauge To Improve Accuracy, Megan Lerman, Robert K. Goodrich
STAR (STEM Teacher and Researcher) Presentations
In an effort to improve the precipitation detection algorithm for the Geonor All Weather Precipitation Gauge, an automated truth algorithm has been created to detect errors in the original algorithm. The original algorithm detects precipitation in real time and uses the rate of precipitation to indicate an event. The automated truth does not detect in real time, and focuses on precipitation accumulation to indicate an event. Since the automated truth is delayed, it is able to consider the data collected before and after the point it is analyzing. The automated truth is already more accurate than the original algorithm but ...
An Hdf5 Based Framework For The Distribution And Analysis Of Ultrasonic Concrete Data, 2016 Oak Ridge National Laboratory
An Hdf5 Based Framework For The Distribution And Analysis Of Ultrasonic Concrete Data, Luke Prince, Dwight Clayton, Hector Santos-Villalobos
Review of Progress in Quantitative Nondestructive Evaluation
There are many commercial ultrasonic tomography devices available for use in nondestructive evaluation (NDE) of reinforced concrete structures. These devices operate by using an array of transducers to transmit and receive ultrasonic data. Time-staggered ultrasonic impulses are released at each transmitting transducer through a concrete medium, after which the shear wave reflections are recorded at all receiving transducers. This ultrasonic data representing the received impulse responses between all unique transducer pairings are collected by the devices and often stored in a proprietary format. Because of this, both academic and industrial researchers are prevented from using the collected data for NDE ...
The Relationship Between Exercise And Depression And Anxiety In College Students, 2016 Virginia Commonwealth University
The Relationship Between Exercise And Depression And Anxiety In College Students, Joshua Frank, Dr. Amy Adkins, Nathan Thomas, Dr. Danielle Dick
Undergraduate Research Posters
The literature shows an inverse association between exercise and mental disorders. The aim of this study is to further elaborate on this association with regards to exercise and its relationship with anxiety and depression in a college sample. The subject group focused on seniors in the Spit for Science data set which incorporated a total of 821 students. Physical activity was assessed using the International Physical Activity Questionnaire (IPAQ) to estimate the overall metabolic equivalents (MET’s) each student spent in walking, moderate, or vigorous activity levels in the previous week. Sum scores were used to measure depression and anxiety ...
Topics In Logistic Regression Analysis, 2016 University of Kentucky
Topics In Logistic Regression Analysis, Zhiheng Xie
Theses and Dissertations--Statistics
Discrete-time Markov chains have been used to analyze the transition of subjects from intact cognition to dementia with mild cognitive impairment and global impairment as intervening transient states, and death as competing risk. A multinomial logistic regression model is used to estimate the probability distribution in each row of the one-step transition matrix that correspond to the transient states. We investigate some goodness of fit tests for a multinomial distribution with covariates to assess the fit of this model to the data. We propose a modified chi-square test statistic and a score test statistic for the multinomial assumption in each ...