Digital Commons Network^™

A Likelihood Ratio Test Approach To Profile Monitoring In Tourism Industry, R. Noorossana, H. Izadbakhsh, M. R. Nayebpour

Applications and Applied Mathematics: An International Journal (AAM)

A new statistical profile monitoring technique to monitor and detect changes in logistic profiles with an application in the tourism industry is presented in this paper. In the statistical process control literature, profile is usually referred to as a relationship between a response variable and one or more explanatory variables. In the tourism case study presented in this paper, time is considered as the explanatory variable and tourism satisfaction as the response variable. The Likelihood ratio test is used as a vehicle to detect any changes in the satisfaction profile in phase II of profile monitoring. The performance of the …

Spatial Analysis Of Foreclosures In Hillsborough County, Brian Arthur Sandrock

USF Tampa Graduate Theses and Dissertations

This study examines the spatial impact various socio-demographic and housing factors might have in the foreclosure lis pendens rate within various Hillsborough County, Florida tracts as well as comparing those results with past research. Hopefully the techniques used in this study can be implemented elsewhere in order to better study the foreclosure crisis. The methods used within this research were chosen carefully in order to best understand what is being observed. One method is OLS regression which helps see the impact of each variable and if that impact has a negative or positive effect on the rate of foreclosure. Bivariate …

Effectiveness Of Homoeopathic Therapeutics In The Management Of Childhood Autism Disorder, Praful Barvalia, Piyush Oza, Amit Daftary, Vijaya Patil, Vinita Agarwal, Ashish Mehta

Indian Journal of Research in Homoeopathy

Background and Objectives: Childhood autism is severe and a serious disorder. A study was conducted by Spandan holistic institute of applied Homoeopathy, Mumbai, with the objective of demonstrating the usefulness of homeopathic management in autism. Materials and Methods: Sixty autistic children of both sexes, ≤12 years were selected for this study. It was nonrandomized, self-controlled, pre and post-intervention study, wherein the initial 6 months of observation period was used as the control period and the same patients were thereafter treated for 1 year and compared with post-intervention findings. Results: The study demonstrated significant improvement of autistic features with mean change …

Optimization Techniques For Next-Generation Sequencing Data Analysis, Adrian Caciula

Computer Science Dissertations

High-throughput RNA sequencing (RNA-Seq) is a popular cost-efficient technology with many medical and biological applications. This technology, however, presents a number of computational challenges in reconstructing full-length transcripts and accurately estimate their abundances across all cell types.

Our contributions include (1) transcript and gene expression level estimation methods, (2) methods for genome-guided and annotation-guided transcriptome reconstruction, and (3) de novo assembly and annotation of real data sets. Transcript expression level estimation, also referred to as transcriptome quantification, tackle the problem of estimating the expression level of each transcript. Transcriptome quantification analysis is crucial to determine similar transcripts or unraveling gene …

Convergence Of A Reinforcement Learning Algorithm In Continuous Domains, Stephen Carden

All Dissertations

In the field of Reinforcement Learning, Markov Decision Processes with a finite number of states and actions have been well studied, and there exist algorithms capable of producing a sequence of policies which converge to an optimal policy with probability one. Convergence guarantees for problems with continuous states also exist. Until recently, no online algorithm for continuous states and continuous actions has been proven to produce optimal policies. This Dissertation contains the results of research into reinforcement learning algorithms for problems in which both the state and action spaces are continuous. The problems to be solved are introduced formally as …

The Influence Of The Length Of The School Day On The Percentage Of Proficient And Advanced Proficient Scores On The New Jersey Assessment Of Skills And Knowledge For Grades 6, 7, And 8, Danielle Rosalba Sammarone

Seton Hall University Dissertations and Theses (ETDs)

This cross-sectional, correlational, explanatory study aimed to explain the influence of the length of the school day on the total percentage of students who scored Proficient or Advanced Proficient (TPAP) on the New Jersey Ask (NJ ASK) in both Language Arts and Mathematics in Grades 6-8. The data analyzed included the length of the school day with controlled student, staff, and school variables. The study aimed to provide research-based evidence on the intervention that is being imposed on some school districts by policy makers and bureaucrats. The results from the study serve to distinguish how this intervention influences TPAP based …

Effects Of Domestic Violence And/Or Forced Migration On Psychosocial Developmental Systems, Megan Levy

Megan Levy

This paper proposes an inter-dependency among three different Psycho-Social Developmental Models: Bronfenbrenner’s Nested or Ecological Systems, Maslow’s Hierarchy of Needs, and Erikson’s Developmental Stages, and that, when activated, this link may trigger a psychosocial regression in the person escaping domestic violence and/or forced to migrate.

Effects Of The World Trade Center Attacks And Hurricane Sandy: Manhattan Commercial Real Estate Market, Michael Miceli

Honors Theses

Two rare and uncontrollable events that recently took place in Manhattan were the attacks on the World Trade Center and Hurricane Sandy. Both of these catastrophic events affected the commercial real estate market in Manhattan in several ways. Using quarterly time-series data between 1996 and 2013 collected from Brookfield Office Properties, this paper utilizes regression analysis to investigate the effects of these events on vacancy rate, absorption rate and rent in Manhattan. The regression analyses control for location and building type such as Midtown, Downtown and Classes A,B,C, as well as economic factors such as unemployment rate and the S&P …

Investr: An R Package For Inverse Estimation, Brandon M. Greenwell, Christine M. Schubert Kabban

Faculty Publications

Inverse estimation is a classical and well-known problem in regression. In simple terms, it involves the use of an observed value of the response to make inference on the corresponding unknown value of the explanatory variable. To our knowledge, however, statistical software is somewhat lacking the capabilities for analyzing these types of problems. In this paper, we introduce investr (which stands for inverse estimation in R), a package for solving inverse estimation problems in both linear and nonlinear regression models.

Implementation And Application Of The Curds And Whey Algorithm To Regression Problems, John Kidd

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

A common statistical problem is trying to predict two or more variables using a set of predictor variables. The simplest model for this situation is called multivariate linear regression. This method uses each set of predictor variables to predict each of the response variables separately. This approach seems counter-intuitive as any possible relationship between the variables being predicted is ignored.

Breiman and Friedman found a way to take advantage of relationships among the response variables to increase the accuracy of the predictions for each of the predicted variables with an algorithm they called Curds and
Whey. It uses other statistical …

How Many Eyeballs Does A Bug Need? An Empirical Validation Of Linus' Law, Subhajit Datta, Proshanta Sarkar, Sutirtha Das, Sonu Sreshtha, Prasanth Lade, Subhashis Majumder

Research Collection School Of Computing and Information Systems

Linus’ Law reflects on a key characteristic of open source software development: developers’ tendency to closely work together in the bug resolution process. In this paper we empirically examine Linus’ Law using a data-set of 1,000+ Android bugs, owned by 70+ developers. Our results indicate that encouraging developers to work closely with one another has nuanced implications; while one form of contact may help reduce bug resolution time, another form can have quite the opposite effect. We present statistically significant evidence in support of our results and discuss their relevance at the individual and organizational levels.

Development Of A Prediction Equation For Vertical Power In Masters Level Basketball Athletes, Jordan M. Glenn, Jennifer Vincenzo, Michelle Gray, Ashley Binns

International Journal of Exercise Science

International Journal of Exercise Science 7(2) : 119-127, 2014. Performance factors such as power, agility, and speed are important in sport-based competition for older individuals. Prediction models that assess these factors in masters level competitors are limited. The purpose of this study was to examine physical field measures of agility and speed and their ability to predict vertical power (VP) among basketball masters athletes(MA). Thirty-eight competitive MA from a Midwest Senior Olympic basketball tournament performed vertical jump, 20-yard dash (20-D), 40-yard dash (40-D), and T-test (TT) assessments. Regression analysis revealed a significant relationship (p = .002) using TT and …

Hidden Trends In Nfl Data, Scott Santor

Statistics

This is an analysis on National Football League (NFL) data for the 2013-2014 regular season. The main goal is to find hidden trends in game data that can ultimately determine which factors are statistically significant to award a team with their ultimate objective, a win.

The main response variable to be examined is total wins throughout the regular season, and an alternative dependent variable is spread; the difference between a team’s points scored, and points against. Spread is analyzed to provide a different quantitative response variable that can be both positive and negative.

Game data was gathered from ESPN.com box …

Forecasting Short-Term Stock Returns Using Irregular Pricing Behavior In The Options Market, Thomas W. Sampson

Master's Theses

This paper uses regression analysis to examine the relationship between today's implied volatility on AMD stock options with tomorrow's return on the underlying. An economic analyis of the options markets' micro-structure is discussed to establish the intuition and the basis behind the relationship. Four seperate models are developed to examine its statistical significance and the ability of options' prices to accurately forecast returns on the underlying security.

The hypothesis of the paper is that daily changes in implied volatility can be used to earn higher than expected returns on the underlying stock. I find that implied volatility can be used …

X-Differencing And Dynamic Panel Model Estimation, Chirok Han, Peter C. B. Phillips, Donggyu Sul

Research Collection School Of Economics

This paper introduces a new estimation method for dynamic panel models with fixed effects and AR(p) idiosyncratic errors. The proposed estimator uses a novel form of systematic differencing, called X-differencing, that eliminates fixed effects and retains information and signal strength in cases where there is a root at or near unity. The resulting "panel fully aggregated" estimator (PFAE) is obtained by pooled least squares on the system of X-differenced equations. The method is simple to implement, consistent for all parameter values, including unit root cases, and has strong asymptotic and finite sample performance characteristics that dominate other procedures, such as …

Robust Regression Methods For Massively Decayed Intelligence Data, Akiva Joachim Lorenz

Wayne State University Dissertations

Homeland Security, sponsored by governmental initiatives, has become a vibrant academic research field. However, most efforts were placed with the recognition of threats (e.g. theory) and response options. Less effort was placed in the analysis of the collected data through statistical modeling. In a field that collects more than 20 terabyte of information per minute though diverse overt and covert means and indexes it for future research, understanding how different statistical models behave when it comes to massively decayed data is of vital importance.

Using Monte Carlo methods, three regression techniques (ordinary least squares, least-trimmed, and maximum likelihood) were tested …

Linear Regression With Nested Errors Using Probability-Linked Data, Klairung Samart, Raymond Chambers

Faculty of Engineering and Information Sciences - Papers: Part A

Probabilistic matching of records is widely used to create linked data sets for use in health science, epidemiological, economic, demographic and sociological research. Clearly, this type of matching can lead to linkage errors, which in turn can lead to bias and increased variability when standard statistical estimation techniques are used with the linked data. In this paper we develop unbiased regression parameter estimates to be used when fitting a linear model with nested errors to probabilistically linked data. Since estimation of variance components is typically an important objective when fitting such a model, we also develop appropriate modifications to standard …

Short-Term Load Forecasting Using Regression Based Moving Windows With Adjustable Window-Sizes, Dao Hoang Vu, Kashem M. Muttaqi, Ashish P. Agalgaonkar

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents a regression based moving window model for solving the short-term electricity forecasting problem. Moving window approach is employed to trace the demand pattern based on the past history of load and weather data. Regression equation is then formed and least square method is used to determine the parameters of the model. In this paper, a new concept associated with cooling and heating degree is used to establish the relationship between electricity demand and temperature, which is one of the key climatic variables. In addition, Pearson's correlation has been employed to investigate the interdependency of electricity demand between …

The Relationship Between Social Media And Empathy, Franklin M. Collins

Electronic Theses and Dissertations

The relationship between social media and empathy has not been explored extensively. Research on the expression of emotion and the association with empathy displayed on social media websites have been minimally explored. This study sought to support findings that chatting online leads to expressions of empathy (Rosen, 2012) and a positive relationship exists between conversing with others online and empathic expression (Ivcevic & Ambady, 2012. Empathic concern was hypothesized to show a positive relationship with one’s likelihood to chat, time on Facebook, and emotional connection to Facebook or Facebook usage. Empathic concern also was predicted to be greater among computer …

Determinants Of Trade Balance: A Comparison Between Pakistan And India, Khola Asif, Aurangzeb -

Business Review

This study investigates and compares the determinants of the trade balances of Pakistan and India. In this research the impact of gross domestic product (GDP), foreign direct investment (FDI), exchange rate (ER) and the remittances on the trade balance of India and Pakistan have also been considered. For this, time series data from 1981 to 2010 is used. The results of the study are based on the regression analysis, and granger causality test. Regression analysis showed that the GDP of India and Pakistan both have significant positive impact on the balance of the trade, FDI has significant negative impact on …