Statistics and Probability Commons^™

The Epsilon-Skew Exponentiated Beta Distribution, Chary Akmyradov

Theses and Dissertations

In this dissertation, we develop the Epsilon Skew Exponentiated Beta Distribution. This distribution is a bimodal skew distribution with shape, location, and skewness parameters. This distribution is useful in applications with bimodal data, such as in the biological data. The shape properties and the effects of parameters are discussed. Furthermore, we derived the mode and the expected values, mean and variance. In addition, we derive the moment generating function and develop the likelihood function. Parameter estimates are also developed. Then, we develop a simulation to generate the Epsilon Skew Exponentiated Beta random variables and use this new distribution in real …

Stochastic Averaging For Multiple Cooperative And Antagonistic Molecular Motors, Joe Klobusicky

Biology and Medicine Through Mathematics Conference

No abstract provided.

Quantitative Electroencephalography For Detecting Concussions, Sara Krehbiel, Kathy Hoke, Joanna Wares

Biology and Medicine Through Mathematics Conference

No abstract provided.

Approximation To Multivariate Normal Higher Dimensional Probabilities In Mixed - Data Model With Missing Responses, E. B. Samani

Applications and Applied Mathematics: An International Journal (AAM)

Multivariate data with mixed ordinal and continuous responses with the possibility of nonignorable missingness are often common in follow up social studies and their analysis need to be promoted. One of the standard methods of analysis is based on joint modelling. In this method, we use that simultaneously allow modelling non-ignorable mechanism and a full likelihood-based approach is used to obtain maximum likelihood estimates of parameters of joint modelling. In this approach, when the dimension of the vector responses are increased, includes somehow troubling computations which are often time-consuming. Another alternative is an approximation for multivariate normal probabilities for higher …

Multiple-Model Multiple Imputation For Longitudinal Count Data To Address Uncertainty In Missingness Mechanism, E. J. Farahani, T. Baghfalaki

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, an approach to generate imputed values for count variables to incorporate missing data mechanism uncertainty is proposed. For multiple imputation, a distribution is considered in such a manner that it can reflect missing data mechanism uncertainty. For combining the parameter estimation of these imputed data sets the rules of nested multiple imputation are used. The performance of the multiple imputations is investigated using some simulation studies. Also, a real data set is analyzed using the proposed approach.

Prevention Paradox: Medical Students Are Less Inclined To Prescribe Hiv Pre-Exposure Prophylaxis For Patients In Highest Need., Sarah K Calabrese, Valerie A Earnshaw, Kristen Underhill, Douglas S Krakower, Manya Magnus, Nathan B Hansen, Kenneth H Mayer, Joseph R Betancourt, Trace S Kershaw, John F Dovidio

Epidemiology Faculty Publications

INTRODUCTION: Despite healthcare providers' growing awareness of pre-exposure prophylaxis (PrEP), prescription rates remain low. PrEP is an efficacious HIV prevention strategy recommended for use with condoms but still protective in their absence. Concern about the impact of PrEP on condom use and other risk behaviour is, nonetheless, among the barriers to prescription commonly reported. To understand the implications of this concern for PrEP access, we examined how medical students' willingness to prescribe PrEP varied by patients' condom use and partnering practices. We also assessed the perceived acceptability of various reasons for condom discontinuation with PrEP.

METHODS: An online survey was …

Using Data To Ignite And Sustain Employment Systems Change, Jean Winsor, Thinkwork! At The Institute For Community Inclusion At Umass Boston

ThinkWork! Publications

No abstract provided.

Examining Multimorbidities Using Association Rule Learning, Kaylee Dudley

Undergraduate Honors Theses

All insurance companies, regardless of the kind of insurance they offer, do their best to predict the future by comparing current to historical information. Any statistically significant correlation, regardless of expectations and hidden factors, can help to actuarially model future behavior. Using deidentified data from over 6 million health insurance policies over one year, we looked for any significant groupings of medical issues. The medical issues are defined based on the commercial “Episode Treatment Groups” (ETGs) classification, and our claims contain 347 different ETGs. We performed different kinds of analysis, including Bayesian posterior cluster analysis, k-means cluster analysis, and association …

Estimation Of The Burr Xii-Exponential Distribution Parameters, Gholamhossein Yari, Zahra Tondpour

Applications and Applied Mathematics: An International Journal (AAM)

The Burr XII distribution is one of the most important distributions in Survival analysis. In this article, we introduce the new wider Burr XII-G family of distributions. A special model in the new family called Burr XII-exponential distribution that has constant, decreasing and unimodal hazard rate functions is investigated. We discuss the estimation of this distribution parameters by maximum likelihood, three modifications of maximum likelihood and Bayes methods. In Bayes method, we use the uniform, triangular and Burr XII-uniform priors for posterior analysis and obtain Bayes estimations under two different loss functions. We obtain two approximations of the Bayes estimations, …

Profit Analysis Of A Two Unit Cold Standby System Operating Under Different Weather Conditions Subject T O Inspection, M. S. Barak, Neeraj _, Sudesh Kumari

Applications and Applied Mathematics: An International Journal (AAM)

A system, or unit, is said to be working under normal weather conditions if the system is working under prescribed conditions as defined/stated by the definition of reliability of system/unit, otherwise the system is said to be working in abnormal weather conditions. For example, if a car with the capacity for five persons is carrying more than five persons, it will be said to be working under abnormal weather conditions. Another example, if a hydraulic machine having the capacity to lift a maximum weight of 500 tons is lifting a weight of 600 tons, then the machine is working under …

Transmuted New Weibull-Pareto Distribution And Its Applications, Areeb Tahir, Ahmad S. Akhter, M. A. Ul Haq

Applications and Applied Mathematics: An International Journal (AAM)

this article, a generalization of the new Weibull-Pareto (NWP) distribution is derived. The quadratic equation (QRTM rank transmutation map) studied by Shaw and Buckley (2007), has been used to develop the generalization. The proposed distribution includes as special cases with the new Weibull-Pareto distribution (NWP), transmuted Weibull distribution (TW), transmuted Rayleigh (TR) distribution and transmuted exponential (TE) distribution. Various structural properties of the new distribution, including of moments, quantiles, moment generating function, mean deviations, reliability analysis, order statistics and Renyi entropy are derived. The maximum likelihood estimation method has been proposed for the estimation of the parameters of the TNWP …

Integrating Statistical Methods In Engineering Technology Courses, Sanjeevi Chitikeshi, Jake Hildebrant, Otilia Popescu, Orlando M. Ayala, Vukica M. Jovanovic

Engineering Technology Faculty Publications

Statistical methods and procedures are very important in engineering applications. In most of the engineering fields electronic devices are used as sensing and controlling components. Lack of proper calibration of these devices and of performance analysis using different statistical methods may lead to erroneous measurements and results. In medical or manufacturing areas such errors in the experimental results could be catastrophic. Applying different statistical tests and procedures enhance the quality of engineering work. Traditionally, most engineering curricula have at least one required course in applied statistics in engineering, but that is not generally the case in engineering technology programs. Most …

A 3d Characteristics Database Of Land Engraved Areas With Known Subclass, Entni Lin

Student Theses

Subclass characteristics on bullets may mislead firearm examiners when they rely on traditional 2D images. In order to provide indelible examples for training and help avoid identification errors, 3D topography surface maps and statistical methods of pattern recognition are applied to toolmarks on bullets containing known subclass characteristics. This research was conducted by collecting 3D topography surface map data from land engraved areas of bullets fired through known barrels. This data was processed and used to train the statistical algorithms to predict their origin. The results from the algorithm are compared with the “right answers” (i.e. correct IDs) of the …

Pseudo Power Law Statistics In A Jammed, Amorphous Solid, Jacob Brian Hass

Physics

Simulations have shown that in many solid materials, rearrangements within the solid obey power-law statistics. A connection has been proposed between these statistics and the ability of a system to reach a limit cycle under cyclic driving. We study experimentally a 2D jammed solid that reaches such a limit cycle. Our solid consists of microscopic plastic beads adsorbed at an oil-water interface and cyclically sheared by a magnetically driven needle. We track each particles trajectory in the solid to identify rearrangements. By associating particles both spatially and temporally, we can measure the extent of each rearrangement. We study specifically the …

Implementation Of Prevention Of Mother To Child Transmission Of Hiv Program In South Jakarta, Fase Badriah, Minsarnawati Tahangnacca, Raihana Alkaff, Takeru Abe, Laily Hanifah

Kesmas

Even though Prevention of Mother to Child Transmission (PMTCT) program has been running in Indonesia since 2006, the proportion of human immunodeficiency virus (HIV)-infected pregnant women remains high in some districts in Indonesia. The PMTCT program aims to reduce transmission of HIV from mother to child. Thus it requires an examination of the PMTCT program implementation. The study was a qualitative study on PMTCT program implementation in South Jakarta, Indonesia, whereas the proportion of children with HIV positive in the area was quite high. The analysis used domain analysis by looking the implementation of PMTCT as a system consisting of …

The Influence Of Exclusive Breastfeeding To Emotional Development Of Children Aged 48-60 Months, Yuni Kusmiyati, Sumarah Sumarah, Nurul Dwiawati, Hesty Widyasih, Yani Widyastuti, Khadizah Haji Abdul Mumin

Kesmas

Impaired emotional development is a problem faced by children and this can negatively impact on function, development and readiness of their school. Exclusive breastfeeding is able to meet brain development needs that affect child development. This study aimed to determine correlation between exclusive breastfeeding and emotional development of children aged 48-60 months. This study used historical cohort.The subjects of this study were 7-12-month old infants living in area of Borobudur Primary Health Care Primary Health Care, Central Java Province, Indonesia in 2011-2012. Independent variable of exclusive breastfeeding was when infants received only breast milk without any supplementary food or drink …

Larvicidal Effect Of Mixture Of Beauveria Bassiana Crude Metabolite And Chitinase Enzyme Against Aedes Aegypti Larvae, Dyah Widiastuti, Bina Ikawati, Upik Kesumawati Hadi

Kesmas

Aedes aegypti is a major vector of dengue, a deadly disease causing deaths of millions of people in developing countries, both in urban and rural populations. Aedes aegypti control with chemical insecticide is widely used, and affects on a widespread insecticide resistance. Mosquito biological control was needed to replace the use of chemical insecticide. This study aimed to evaluate larvicidal effect of mixture of Beauveria bassiana crude metabolite and chitinase enzyme against Aedes aegypti larvae. An experimental study using completely Randomized Design was conducted in March-April 2016 at Banjarnegara Research and Development Unit for Zoonosis Control. Biolarvacide formula was made …

Perceived Stigma In People Affected By Leprosy In Leprosy Village Of Sinatala, Tangerang District, Banten Province, Indonesia, Erni Astutik, Dwi Gayatri

Kesmas

Leprosy is a disease of neglected tropical diseases (NTDs) which becomes a global problem and causes the perceived stigma in people affected by leprosy. This study aimed to determine most dominant factors affecting perceived stigma in people affected by leprosy in leprosy village of Sitanala, Tangerang District, Banten Province, Indonesia. The data used was secondary data taken from cross-sectional survey of a thesis which determined factors related to perceived stigma of leprosy in leprosy village of Sitanala, Tangerang, Indonesia. Samples were selected by purposive sampling. The results of the study showed that factors related to perceived stigma were level of …

Determinants Of Tourism And Hiv/Aids Incidence In West Java, Cecep Heriana, Rossi Suparman, Sohel Rana, Dera Sukmanawati

Kesmas

Indonesia defined as tourist destination where the international and domestic tourists enjoy the tourist attractions. Prostitution existing in tourism place may increase the prevalence of HIV/AIDS. The incidence and spread of AIDS in many areas in West Java is a problem for tourism industry. These issues become acute in locations where sexual attraction is used as a determinant of tourist portability. The aim of this study was to determine relation between tourism and the incidence of HIV/AIDS in West Java. Non-reactive research design was used to collect secondary data from the Central Bureau of Statistics in 2016 from 26 districts/cities …

Effect Of Personal Protective Equipment During Pesticide Application To Neurological Symptoms In Farmers In Purworejo District, Indonesia, Fajaria Nurcandra, Renti Mahkota, Siddharudha Shivalli

Kesmas

Agriculture is one of major sectors of Indonesia economic source with the high volume of pesticide used. Unfortunately, adverse health effect of neurotoxic pesticide has never been reported in Indonesia. This study aimed to determine effectiveness of personal protective equipment (PPE) during applied pesticides to neurological symptoms in farmers. This study was cross-sectionally conducted from April to May 2016 in Purworejo District. About 125 farmers were selected using purposive sampling, and restriction was applied in male farmers due to the high proportion of male sprayer. Data was collected by observation and interview. Logistic regression showed protective result of PPE used …

Food Hygiene And Sanitation In Six Food Providers At University X, South Sumatra, Yul Isnadi, Tan Malaka, Hatta Dahlan, Novrikasari Novrikasari

Kesmas

Food provider at university is one of places that needs to implement standards of food hygiene and sanitation (FHS). This study aimed to evaluate and analyze practices of FHS based on Regulation of Health Minister No. 1098 of 2003 and best practices in six food providers at University X. This study used mixed method evaluation with sequential explanatory design through two stages. Stage I was in forms of assessment on six food providers, food handlers and laboratory examination on food and beverage samples as well as on eating utensils. Stage II was in form of focus group discussion (FGD) to …

Factors Causing Contraceptive Acceptors Drop Out, Mufdlilah Mufdlilah, Kanthi Aryekti

Kesmas

Family planning program has a very strategic, comprehensive and fundamental meaning in creating a healthy and prosperous Indonesian human being. However, recently the incidence of drop out is quite high for several reasons. This study was conducted to determine the influential factors that cause acceptors to drop out. It is descriptive research. The populations in the study were contraceptive acceptors who dropped out for 3 consecutive months, and not being pregnant. The numbers of sample were 100 people. The data collection employed closed and open questionnaires; data presented in descriptive form. Influential factors of drop out contraceptive acceptors due to …

Variations In Institutional Review Board Processes And Consent Requirements For Trauma Research: An East Multicenter Survey, Jeffry Nahmias, Areg Grigorian, Scott Brakenridge, Randeep S. Jawa, Daniel N. Holena, John Varujan Agapian, Brandon Bruns, Paul J. Chestovich, Bruce Chung, Jonathan Nguyen, Carl I. Schulman, Kristan Staudenmayer, Rachel Dixon, Jason W. Smith, Andrew C. Bernard, Jose L. Pascual

School of Medicine Faculty Research

Oversight of human subject research has evolved considerably since its inception. However, previous studies identified a lack of consistency of institutional review board (IRB) determination for the type of review required and whether informed consent is necessary, especially for prospective observational studies, which pose minimal risk of harm. We hypothesized that there is significant inter-institution variation in IRB requirements for the type of review and necessity of informed consent, especially for prospective observational trials without blood/tissue utilization. We also sought to describe investigators’ and IRB members’ attitudes toward the type of review and need for consent. Eastern Association for the …

Statistical Analysis And Modeling Of Cyber Security And Health Sciences, Nawa Raj Pokhrel

USF Tampa Graduate Theses and Dissertations

Being in the era of information technology, importance and applicability of analytical statistical model an interdisciplinary setting in the modern statistics have increased significantly. Conceptually understanding the vulnerabilities in statistical perspective helps to develop the set of modern statistical models and bridges the gap between cybersecurity and abstract statistical /mathematical knowledge. In this dissertation, our primary goal is to develop series of the strong statistical model in software vulnerability in conjunction with Common Vulnerability Scoring System (CVSS) framework. In nutshell, the overall research lies at the intersection of statistical modeling, cybersecurity, and data mining. Furthermore, we generalize the model of …

Determining The Relationship Between Aging And Oxidative Stress In A Drosophila Melanogaster P38 Kb Framework, Aleksandra J. Majewski

Theses and Dissertations

Aging is inevitable for all organisms and can be characterized by degeneration of tissue, adecrease in motor function, and impaired stress response. In humans, it is often accompanied by an increased propensity for age related diseases. While all adults experience biological aging (senescence) not all adults experience age-associated disease. Thus, we claim these are not normal prospects of aging. Although the implications of aging are well understood, the molecular underpinnings for these processes remain elusive. As advances in medical science have been successful at prolonging lifespan, they concurrently extend the amount of time spend in diseased states. If we wish …

Combinatorial Proofs Of Identities Of Alzer And Prodinger And Some Generalizations, John Engbers, Christopher Stocker

Mathematics, Statistics and Computer Science Faculty Research and Publications

We provide combinatorial proofs of identities published by Alzer and Prodinger. These identities include that for integers b, n, and r with b ≥ 1 and n − 1 ≥ r ≥ 0 we have

and for integers b, n, and r with b ≥ 0 and n − 1 ≥ r ≥ 0 we have

Our combinatorial proofs generalize squares to sth powers, and involve generalized Eulerian numbers and generalized Delannoy numbers.

Dynamic Statistical Models For Pyroclastic Density Current Generation At Soufrière Hills Volcano, Robert L. Wolpert, Elaine T. Spiller, Eliza S. Calder

Mathematics, Statistics and Computer Science Faculty Research and Publications

To mitigate volcanic hazards from pyroclastic density currents, volcanologists generate hazard maps that provide long-term forecasts of areas of potential impact. Several recent efforts in the field develop new statistical methods for application of flow models to generate fully probabilistic hazard maps that both account for, and quantify, uncertainty. However, a limitation to the use of most statistical hazard models, and a key source of uncertainty within them, is the time-averaged nature of the datasets by which the volcanic activity is statistically characterized. Where the level, or directionality, of volcanic activity frequently changes, e.g., during protracted eruptive episodes, or at …

Risk Assessment Of Dropped Cylindrical Objects In Offshore Operations, Adelina Steven

LSU New Orleans Theses and Dissertations

Dropped object are defined as any object that fall under its own weight from a previously static position or fell due to an applied force from equipment or a moving object. It is among the top ten causes of injuries and fatality in oil and gas industry. To solve this problem, several in-house tools and guidelines is developed over time to assess the risk of dropped objects on the sub-sea structures. This thesis focuses on compiling and comparing those methods in hope to improve the recommended practices available in the market. A simple modification is done on the in-house tools …

Bayesian Classification Methods For Bat Call Identification, Zhongmao Liu

Arts & Sciences Graduate Student Theses and Dissertations

Bat call classification is widely used in bat population monitoring in the field of ecology. Since bat populations are susceptible to changes in their surroundings, it is essential to monitor bat populations for purposes of bat protection and bio-environment protection. The purpose of this thesis is to compare the performance of several classification methods applied to a data set extracted from audio recordings for different species of bats in Mexico. The methods under comparison are (i) a nonparametric Bayesian approach using a multinomial probit model with Gaussian process prior; (ii) support vector machines (SVM); (iii) naive Bayes; and (iv) Bayesian …

Consistent Saliency Benchmarking: How One Model Can Win On All Metrics, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge

MODVIS Workshop

No abstract provided.