Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Statistics (3)
- Multivariate Analysis (3)
- Geography (2)
- Social and Behavioral Sciences (2)
- Statistical Methodology (2)
-
- Applied Mathematics (1)
- Criminology (1)
- Discrete Mathematics and Combinatorics (1)
- Earth Sciences (1)
- Econometrics (1)
- Economics (1)
- Education (1)
- Educational Assessment, Evaluation, and Research (1)
- Environmental Studies (1)
- Geographic Information Sciences (1)
- Human Geography (1)
- Mathematics (1)
- Nature and Society Relations (1)
- Other Applied Mathematics (1)
- Other Statistics and Probability (1)
- Probability (1)
- Regional Economics (1)
- Social Statistics (1)
- Sociology (1)
- Spatial Science (1)
- Statistical Models (1)
- Statistical Theory (1)
- Survival Analysis (1)
- Keyword
-
- Arcsine distribution (1)
- Baseline (1)
- Binning (1)
- C.P.H (1)
- Caldera (1)
-
- Catalan numbers (1)
- Corequisite math (1)
- Crime geography (1)
- Denoising (1)
- Developmental math (1)
- Econometric (1)
- First return to origin (1)
- Functional Analysis. (1)
- Geo Apps (1)
- Geospatial statistics (1)
- Hazards (1)
- Missing data (1)
- Mixed data (1)
- Multiple imputation by chained equation (1)
- Multiple imputation methods (1)
- PCA (1)
- Parametric/ semi-parametric model (1)
- Peptide identification (1)
- Random walk (1)
- Risk (1)
- Sports Analytics (1)
- Statistics (1)
- Survival analysis (1)
- Tandem mass spectrometry (1)
- Tensor Decomposition (1)
Articles 1 - 8 of 8
Full-Text Articles in Statistics and Probability
Communications And Methodologies In Crime Geography: Contemporary Approaches To Disseminating Criminal Incidence And Research, Mitchell Ogden
Communications And Methodologies In Crime Geography: Contemporary Approaches To Disseminating Criminal Incidence And Research, Mitchell Ogden
Electronic Theses and Dissertations
Many tools exist to assist law enforcement agencies in mitigating criminal activity. For centuries, academics used statistics in the study of crime and criminals, and more recently, police departments make use of spatial statistics and geographic information systems in that pursuit. Clustering and hot spot methods of analysis are popular in this application for their relative simplicity of interpretation and ease of process. With recent advancements in geospatial technology, it is easier than ever to publicly share data through visual communication tools like web applications and dashboards. Sharing data and results of analyses boosts transparency and the public image of …
Function Space Tensor Decomposition And Its Application In Sports Analytics, Justin Reising
Function Space Tensor Decomposition And Its Application In Sports Analytics, Justin Reising
Electronic Theses and Dissertations
Recent advancements in sports information and technology systems have ushered in a new age of applications of both supervised and unsupervised analytical techniques in the sports domain. These automated systems capture large volumes of data points about competitors during live competition. As a result, multi-relational analyses are gaining popularity in the field of Sports Analytics. We review two case studies of dimensionality reduction with Principal Component Analysis and latent factor analysis with Non-Negative Matrix Factorization applied in sports. Also, we provide a review of a framework for extending these techniques for higher order data structures. The primary scope of this …
Is Corequisite Developmental Math Effective At East Tennessee State University?, Christine Padden
Is Corequisite Developmental Math Effective At East Tennessee State University?, Christine Padden
Electronic Theses and Dissertations
This thesis looks at the corequisite developmental math program at East Tennessee State University (ETSU) and compares the effectiveness to the previous developmental math program by comparing the student outcomes in MATH 1530. MATH 1530 is a non-calculus based statistic and probability course that satisfies most majors’ general education math requirements. ETSU sees approximately 1,000 students a year pass through MATH 1530 which is around 6.7% of the total enrollment at ETSU[9]. We are interested in the last five years of the developmental math program before it was changed to corequisite developmental math and the first five years of corequisite …
Robustness Of Semi-Parametric Survival Model: Simulation Studies And Application To Clinical Data, Isaac Nwi-Mozu
Robustness Of Semi-Parametric Survival Model: Simulation Studies And Application To Clinical Data, Isaac Nwi-Mozu
Electronic Theses and Dissertations
An efficient way of analyzing survival clinical data such as cancer data is a great concern to health experts. In this study, we investigate and propose an efficient way of handling survival clinical data. Simulation studies were conducted to compare performances of various forms of survival model techniques using an R package ``survsim". Models performance was conducted with varying sample sizes as small ($n5000$). For small and mild samples, the performance of the semi-parametric outperform or approximate the performance of the parametric model. However, for large samples, the parametric model outperforms the semi-parametric model. We compared the effectiveness and reliability …
Comparison Of Imputation Methods For Mixed Data Missing At Random, Kaitlyn Heidt
Comparison Of Imputation Methods For Mixed Data Missing At Random, Kaitlyn Heidt
Electronic Theses and Dissertations
A statistician's job is to produce statistical models. When these models are precise and unbiased, we can relate them to new data appropriately. However, when data sets have missing values, assumptions to statistical methods are violated and produce biased results. The statistician's objective is to implement methods that produce unbiased and accurate results. Research in missing data is becoming popular as modern methods that produce unbiased and accurate results are emerging, such as MICE in R, a statistical software. Using real data, we compare four common imputation methods, in the MICE package in R, at different levels of missingness. The …
A Comparison Of Standard Denoising Methods For Peptide Identification, Skylar Carpenter
A Comparison Of Standard Denoising Methods For Peptide Identification, Skylar Carpenter
Electronic Theses and Dissertations
Peptide identification using tandem mass spectrometry depends on matching the observed spectrum with the theoretical spectrum. The raw data from tandem mass spectrometry, however, is often not optimal because it may contain noise or measurement errors. Denoising this data can improve alignment between observed and theoretical spectra and reduce the number of peaks. The method used by Lewis et. al (2018) uses a combined constant and moving threshold to denoise spectra. We compare the effects of using the standard preprocessing methods baseline removal, wavelet smoothing, and binning on spectra with Lewis et. al’s threshold method. We consider individual methods and …
Generalizations Of The Arcsine Distribution, Rebecca Rasnick
Generalizations Of The Arcsine Distribution, Rebecca Rasnick
Electronic Theses and Dissertations
The arcsine distribution looks at the fraction of time one player is winning in a fair coin toss game and has been studied for over a hundred years. There has been little further work on how the distribution changes when the coin tosses are not fair or when a player has already won the initial coin tosses or, equivalently, starts with a lead. This thesis will first cover a proof of the arcsine distribution. Then, we explore how the distribution changes when the coin the is unfair. Finally, we will explore the distribution when one person has won the first …
A Systematic Assessment Of Socio-Economic Impacts Of Prolonged Episodic Volcano Crises, Justin Peers
A Systematic Assessment Of Socio-Economic Impacts Of Prolonged Episodic Volcano Crises, Justin Peers
Electronic Theses and Dissertations
Uncertainty surrounding volcanic activity can lead to socio-economic crises with or without an eruption as demonstrated by the post-1978 response to unrest of Long Valley Caldera (LVC), CA. Extensive research in physical sciences provides a foundation on which to assess direct impacts of hazards, but fewer resources have been dedicated towards understanding human responses to volcanic risk. To evaluate natural hazard risk issues at LVC, a multi-hazard, mail-based, household survey was conducted to compare perceptions of volcanic, seismic, and wildfire hazards. Impacts of volcanic activity on housing prices and businesses were examined at the county-level for three volcanoes with a …