1. Estimating Yield Distributions From Truncated Data Using Linear Regression Models Open Access Author: Zalewski, Erik John Title: Estimating Yield Distributions From Truncated Data Using Linear Regression Models Area of Honors: Supply Chain and Information Systems Keywords: EstimationYield DistributionsTruncated DataLinear RegressionModelsModelingCensored Demand File: Download Schreyer_Honors_College_Final_Thesis.pdf Thesis Supervisors: Saurabh Bansal, Thesis SupervisorDr. John C. Spychalski, Thesis Honors Advisor
2. Evaluating the Impact of Nighttime Ozone Exposure on Resistant and Sensitive Phaseolus Vulgaris L. Genotypes Open Access Author: Isaacs, Emily Grace Title: Evaluating the Impact of Nighttime Ozone Exposure on Resistant and Sensitive Phaseolus Vulgaris L. Genotypes Area of Honors: Environmental Resource Management Keywords: OzoneSnap BeanLinear RegressionAir PollutionFoliar InjuryPod Yield File: Download Isaacs_SHC_Thesis.pdf Thesis Supervisors: Robert David Shannon, Thesis Honors AdvisorDennis R Decoteau, Thesis Supervisor
3. THE IMPACT OF SIZE AND VALUE FACTORS THROUGHOUT ASSET PRICING MODELS Open Access Author: Rhea, Kayla Title: THE IMPACT OF SIZE AND VALUE FACTORS THROUGHOUT ASSET PRICING MODELS Area of Honors: Finance Keywords: FinanceAsset Pricing ModelsCapital Asset Pricing ModelFama French Three-factor ModelLinear Regression File: Download The_Impact_of_Size_and_Value_Factors_within_an_Asset_Pricing_Model_Thesis_Kayla_Rhea_Spring_2019.pdf Thesis Supervisors: Robert Wesley Everett Jr., Thesis SupervisorDr. Brian Spangler Davis, Thesis Honors Advisor
4. A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data Open Access Author: Gault, William Title: A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data Area of Honors: Data Sciences Keywords: Data ScienceMachine LearningFeature EngineeringLinear RegressionNeural Network File: Download William_Gault_Thesis.pdf Thesis Supervisors: John Yen, Thesis SupervisorJohn Yen, Thesis Honors AdvisorSuhang Wang, Faculty Reader
5. The Effect of Need to Belong And Materialism In Influencer Marketing Open Access Author: Zhang, Maggie Title: The Effect of Need to Belong And Materialism In Influencer Marketing Area of Honors: Advertising/Public Relations Keywords: Influencer MarketingThe Need to BelongMaterialismPurchase IntentLinear RegressionExploratory Factor Analysis File: Download ZHANG_The_Effect_of_Need_to_Belong_And_Materialism_In_Influencer_Marketing.pdf Thesis Supervisors: Heather Shoenberger, Thesis SupervisorFuyuan Shen, Thesis Honors Advisor
6. A Performance Analysis of Machine Learning Techniques in Stock Price Prediction Restricted (Penn State Only) Author: Al-Quaid, Hasan Title: A Performance Analysis of Machine Learning Techniques in Stock Price Prediction Area of Honors: Computer Science Keywords: Artificial IntelligenceLinear RegressionHidden Markov ModelArtificial Neural NetworksSentiment AnalysisEnsemble Model File: Login to Download Thesis Supervisors: Md Faisal Kabir, Thesis SupervisorRonald Walker, Thesis Honors AdvisorHyuntae, Na, Faculty Reader
7. An Evaluation of Stein Thinning for the Post-Processing of Markov Chain Monte Carlo Linear Regression Output Open Access Author: Licata, Michael Title: An Evaluation of Stein Thinning for the Post-Processing of Markov Chain Monte Carlo Linear Regression Output Area of Honors: Statistics Keywords: Markov Chain Monte CarloStein ThinningZero Variance Control VariatesLinear RegressionBayesian StatisticsPost Processing File: Download Final_Schreyer_Thesis_MichaelLicata.pdf Thesis Supervisors: Stephen Berg, Thesis SupervisorJohn Joseph Hannan, Thesis Honors Advisor
8. Are High-ESG Companies More Profitable? Evidence from Newly-Public Firms Open Access Author: Rice, Jack Title: Are High-ESG Companies More Profitable? Evidence from Newly-Public Firms Area of Honors: Finance Keywords: ESGProfitabilityLinear Regression File: Download Final_Draft.pdf Thesis Supervisors: Forrest Briscoe, Thesis SupervisorStefan M Lewellen, Thesis Honors Advisor