Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- University of Tennessee, Knoxville (5)
- East Tennessee State University (4)
- Louisiana State University (4)
- California Polytechnic State University, San Luis Obispo (3)
- City University of New York (CUNY) (2)
-
- Claremont Colleges (2)
- Louisiana Tech University (2)
- Old Dominion University (2)
- The University of Maine (2)
- University of North Florida (2)
- Bard College (1)
- Bowling Green State University (1)
- California State University, San Bernardino (1)
- Clemson University (1)
- Embry-Riddle Aeronautical University (1)
- Florida Institute of Technology (1)
- Murray State University (1)
- Portland State University (1)
- Southern Methodist University (1)
- University of Kentucky (1)
- University of Massachusetts Amherst (1)
- University of New Mexico (1)
- University of Texas at Tyler (1)
- Washington University in St. Louis (1)
- Wilfrid Laurier University (1)
- Keyword
-
- Probability (7)
- Statistics (3)
- Finance (2)
- Machine learning (2)
- Number theory (2)
-
- Stochastic Processes (2)
- "hot hand" (1)
- 05A05 (1)
- 13P10 Commutative Rings and Algebras/Computational Aspects/Grobner Bases (1)
- 60C05 (1)
- 60J20 Probability theory and stochastic processes/Markov processes/Applications of Markov chains and discrete-time Markov processes on general state spaces (1)
- ADNI database (1)
- Absorbing Markov Chain (1)
- Academic -- UNF -- Engineering; Natural Hazards; Storm Surge; Tropical Cyclone; Joint Probability Method; Annual Exceedance Probability; New York Bight (1)
- Academic -- UNF -- Master of Science in Civil Engineering; Dissertations (1)
- Academic -- UNF – Mathematics; Dept. of Mathematics and Statistics (1)
- Activation (1)
- Additive processes (1)
- Alzheimer’s disease (1)
- Anticipating Linear Stochastic Differential Equations (1)
- Anticipating stochastic calculus (1)
- Anticipation (1)
- Applied probability (1)
- Arbitrage (1)
- Arcsine distribution (1)
- Association (1)
- Asymptotics (1)
- Ayed-Kuo Stochastic Integral (1)
- Ayed–Kuo integral (1)
- Basketball (1)
- Publication Year
- Publication
-
- Doctoral Dissertations (6)
- Electronic Theses and Dissertations (6)
- LSU Doctoral Dissertations (4)
- Dissertations, Theses, and Capstone Projects (2)
- HMC Senior Theses (2)
-
- Master's Theses (2)
- UNF Graduate Theses and Dissertations (2)
- All Dissertations (1)
- Chancellor’s Honors Program Projects (1)
- Doctor of Business Administration Dissertations (1)
- Doctoral Dissertations and Master's Theses (1)
- Electrical and Computer Engineering ETDs (1)
- Electronic Theses, Projects, and Dissertations (1)
- Engineering Management & Systems Engineering Theses & Dissertations (1)
- Honors Projects (1)
- Masters Theses (1)
- Math Theses (1)
- Mathematics & Statistics Theses & Dissertations (1)
- Mathematics and Statistics Dissertations, Theses, and Final Project Papers (1)
- Murray State Theses and Dissertations (1)
- Senior Projects Spring 2020 (1)
- Statistical Science Theses and Dissertations (1)
- Statistics (1)
- Theses and Dissertations (1)
- Theses and Dissertations (Comprehensive) (1)
- Theses and Dissertations--Education Sciences (1)
Articles 31 - 43 of 43
Full-Text Articles in Probability
Stochastic Processes And Their Applications To Change Point Detection Problems, Heng Yang
Stochastic Processes And Their Applications To Change Point Detection Problems, Heng Yang
Dissertations, Theses, and Capstone Projects
This dissertation addresses the change point detection problem when either the post-change distribution has uncertainty or the post-change distribution is time inhomogeneous. In the case of post-change distribution uncertainty, attention is drawn to the construction of a family of composite stopping times. It is shown that the proposed composite stopping time has third order optimality in the detection problem with Wiener observations and also provides information to distinguish the different values of post-change drift. In the case of post-change distribution uncertainty, a computationally efficient decision rule with low-complexity based on Cumulative Sum (CUSUM) algorithm is also introduced. In the time …
The Simulation & Evaluation Of Surge Hazard Using A Response Surface Method In The New York Bight, Michael H. Bredesen
The Simulation & Evaluation Of Surge Hazard Using A Response Surface Method In The New York Bight, Michael H. Bredesen
UNF Graduate Theses and Dissertations
Atmospheric features, such as tropical cyclones, act as a driving mechanism for many of the major hazards affecting coastal areas around the world. Accurate and efficient quantification of tropical cyclone surge hazard is essential to the development of resilient coastal communities, particularly given continued sea level trend concerns. Recent major tropical cyclones that have impacted the northeastern portion of the United States have resulted in devastating flooding in New York City, the most densely populated city in the US. As a part of national effort to re-evaluate coastal inundation hazards, the Federal Emergency Management Agency used the Joint Probability Method …
Statistical Mechanics And Schramm-Loewner Evolution With Applications To Crack Propagation Processes, Christopher Borut Mesic
Statistical Mechanics And Schramm-Loewner Evolution With Applications To Crack Propagation Processes, Christopher Borut Mesic
Masters Theses
Schramm-Loewner Evolution (SLE) has both mathematical and physical roots that extend as far back as the early 20th century. We present the progression of these humble roots from the Ideal Gas Law, all the way to the renormalization group and conformal field theory, to better understand the impact SLE has had on modern statistical mechanics. We then explore the potential application of the percolation exploration process to crack propagation processes, illustrating the interplay between mathematics and physics.
Cycle Lengths Of Θ-Biased Random Permutations, Tongjia Shi
Cycle Lengths Of Θ-Biased Random Permutations, Tongjia Shi
HMC Senior Theses
Consider a probability distribution on the permutations of n elements. If the probability of each permutation is proportional to θK, where K is the number of cycles in the permutation, then we say that the distribution generates a θ-biased random permutation. A random permutation is a special θ-biased random permutation with θ = 1. The mth moment of the rth longest cycle of a random permutation is Θ(nm), regardless of r and θ. The joint moments are derived, and it is shown that the longest cycles of a permutation can either be positively or …
A Study Of Poisson And Related Processes With Applications, Phillip Mingola
A Study Of Poisson And Related Processes With Applications, Phillip Mingola
Chancellor’s Honors Program Projects
No abstract provided.
Response Surface Optimization Of Electron Beam Freeform Fabrication Depositions Using Design Of Experiments, Patricia A. Quigley
Response Surface Optimization Of Electron Beam Freeform Fabrication Depositions Using Design Of Experiments, Patricia A. Quigley
Engineering Management & Systems Engineering Theses & Dissertations
The Electron Beam Freeform Fabrication (EBF3 ) System is a material depositing, layer additive technique that produces three dimensional (3D) parts out of a wide range of metals in high vacuum, using an electron beam and wire feedstock. Screening deposition trials on a titanium alloy, Ti-6Al-4V, at the National Aeronautics Space Administration (NASA) revealed selective vaporization of the aluminum content of linear prototypes when subjected to chemical analysis. In this study, the aluminum content, bead height and bead width output responses were analyzed from a systematic study of the effects that the interactions of the EBF3 processing parameters …
Adaptive Randomization Designs, Jenna Colavincenzo
Adaptive Randomization Designs, Jenna Colavincenzo
Statistics
Adaptive design methodologies use prior information to develop a clinical trial design. The goal of an adaptive design is to maintain the integrity and validity of the study while giving the researcher flexibility in identifying the optimal treatment. An example of an adaptive design can be seen in a basic pharmaceutical trial. There are three phases of the overall trial to compare treatments and experimenters use the information from the previous phase to make changes to the subsequent phase before it begins.
Adaptive design methods have been in practice since the 1970s, but have become increasingly complex ever since. One …
Markov Bases For Noncommutative Harmonic Analysis Of Partially Ranked Data, Ann Johnston
Markov Bases For Noncommutative Harmonic Analysis Of Partially Ranked Data, Ann Johnston
HMC Senior Theses
Given the result $v_0$ of a survey and a nested collection of summary statistics that could be used to describe that result, it is natural to ask which of these summary statistics best describe $v_0$. In 1998 Diaconis and Sturmfels presented an approach for determining the conditional significance of a higher order statistic, after sampling a space conditioned on the value of a lower order statistic. Their approach involves the computation of a Markov basis, followed by the use of a Markov process with stationary hypergeometric distribution to generate a sample.This technique for data analysis has become an accepted tool …
Tests For Correlation On Bivariate Nonnormal Distributions, Louanne Margaret Beversdorf
Tests For Correlation On Bivariate Nonnormal Distributions, Louanne Margaret Beversdorf
UNF Graduate Theses and Dissertations
Many samples in the real world are very small in size and often do not follow a normal distribution. Existing tests for correlation have restrictions on the distribution of data and sample sizes, therefore the current tests cannot be used in some real world situations.
In this thesis, two tests are considered to test hypotheses about the population correlation coefficient. The tests are based on statistics transformed by a saddlepoint approximation and by Fisher's Z-transformation. The tests are conducted on small samples of bivariate nonnormal data and found to perfom well.
Simulations were run in order to compare the type …
Mathematical And Empirical Modeling Of Chemical Reactions In A Microreactor, Jing Hu
Mathematical And Empirical Modeling Of Chemical Reactions In A Microreactor, Jing Hu
Doctoral Dissertations
This dissertation is concerned with mathematical and empirical modeling to simulate three important chemical reactions (cyclohexene hydrogenation and dehydrogenation, preferential oxidation of carbon monoxide, and the Fischer-Tropsch (F-T) synthesis in a microreaction system.
Empirical modeling and optimization techniques based on experimental design (Central Composite Design (CCD)) and response surface methodology were applied to these three chemical reactions. Regression models were built, and the operating conditions (such as temperature, the ratio of the reactants, and total flow rate) which maximize reactant conversion and product selectivity were determined for each reaction.
A probability model for predicting the probability that a certain species …
Fuzzy Product -Limit Estimators: Soft Computing In The Presence Of Very Small And Highly Censored Data Sets, Kian Lawrence Pokorny
Fuzzy Product -Limit Estimators: Soft Computing In The Presence Of Very Small And Highly Censored Data Sets, Kian Lawrence Pokorny
Doctoral Dissertations
When very few data are available and a high proportion of the data is censored, accurate estimates of reliability are problematic. Standard statistical methods require a more complete data set, and with any fewer data, expert knowledge or heuristic methods are required. In the current research a computational system is developed that obtains a survival curve, point estimate, and confidence interval about the point estimate.
The system uses numerical methods to define fuzzy membership functions about each data point that quantify uncertainty due to censoring. The “fuzzy” data are then used to estimate a survival curve, and the mean survival …
Reliability Studies Of The Skew Normal Distribution, Nicole Dawn Brown
Reliability Studies Of The Skew Normal Distribution, Nicole Dawn Brown
Electronic Theses and Dissertations
It has been observed in various practical applications that data do not conform to the normal distribution, which is symmetric with no skewness. The skew normal distribution proposed by Azzalini(1985) is appropriate for the analysis of data which is unimodal but exhibits some skewness. The skew normal distribution includes the normal distribution as a special case where the skewness parameter is zero. In this thesis, we study the structural properties of the skew normal distribution, with an emphasis on the reliability properties of the model. More specifically, we obtain the failure rate, the mean residual life function, and the reliability …
Estimation In A Marked Poisson Error Recapture Model Of Software Reliability, Rajan Gupta
Estimation In A Marked Poisson Error Recapture Model Of Software Reliability, Rajan Gupta
Mathematics & Statistics Theses & Dissertations
Nayak's (1988) model for the detection, removal, and recapture of the errors in a computer program is extended to a larger family of models in which the probabilities that the successive programs produce errors are described by the tail probabilities of discrete distribution on the positive integers. Confidence limits are derived for the probability that the final program produces errors. A comparison of the asymptotic variances of parameter estimates given by the error recapture and by the repetitive-run procedure of Nagel, Scholz, and Skrivan (1982) is made to determine which of these procedures efficiently uses the test time.