Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Social and Behavioral Sciences (9)
- Probability (7)
- Statistical Methodology (7)
- Biostatistics (6)
- Statistical Theory (6)
-
- Applied Statistics (5)
- Medicine and Health Sciences (5)
- Survival Analysis (5)
- Multivariate Analysis (4)
- Business (3)
- Categorical Data Analysis (3)
- Climate (3)
- Clinical Trials (3)
- Economics (3)
- Environmental Sciences (3)
- Life Sciences (3)
- Oceanography and Atmospheric Sciences and Meteorology (3)
- Psychology (3)
- Public Health (3)
- Sociology (3)
- Applied Mathematics (2)
- Cognition and Perception (2)
- Cognitive Psychology (2)
- Computer Sciences (2)
- Epidemiology (2)
- Genetics (2)
- Genetics and Genomics (2)
- Institution
- Keyword
-
- Bivariate exponential (2)
- Climatic changes – Mathematical models (2)
- Genetics (2)
- Statistics (2)
- Survival analysis (2)
-
- ABX index (1)
- Asymptotics; Augmented kernel estimating equations; Double robustness; Efficiency; Inverse probability weighted kernel estimating equations; Kernel smoothing (1)
- Bayesian Additive Regression Trees (1)
- Bayesian Inference (1)
- Bayesian trees (1)
- Binary outcomes; Copulas; Marginal likelihood; Multivariate logit; Multivariate probit: Stable distributions (1)
- Blackjack (1)
- Brain tumor (1)
- Change-point problems; Italy – Mount Etna; Poisson processes; Stochastic processes; Volcanoes (1)
- Circular data (1)
- Climatic changes – Computer simulation (1)
- Climatic changes; Hydrologic cycle — Climatic factors; Hydrologic cycle — Effect of global warming on; North America – Colorado River Watershed (1)
- Clouds (1)
- Cluster analysis--Data processing (1)
- Combination Index method (1)
- Competition (1)
- Computer Science Education (1)
- Costs (1)
- Cox's model; Nonparametric function estimation; Personalized medicine; Perturbation-resampling method; Stratified medicine; Subgroup analysis; Survival analysis (1)
- Crime prevention (1)
- Current status data; outcome misclassification; sensitivity; specificity (1)
- Deterministic chaos (1)
- Dirac delta (1)
- Distribution (Probability theory) (1)
- Drug interaction (1)
- Publication
-
- Student Works (2010-2019) (5)
- 2010 Annual Nevada NSF EPSCoR Climate Change Conference (3)
- Harvard University Biostatistics Working Paper Series (3)
- Loma Linda University Electronic Theses, Dissertations & Projects (3)
- Mathematics & Statistics Faculty Publications (3)
-
- COBRA Preprint Series (2)
- Dissertations and Theses (Open Access) (2)
- Johns Hopkins University, Dept. of Biostatistics Working Papers (2)
- Psychology Faculty Publications (2)
- UW Biostatistics Working Paper Series (2)
- Articles (1)
- CBN Journal of Applied Statistics (JAS) (1)
- Conference papers (1)
- Department of Statistics: Dissertations, Theses, and Student Research (1)
- Faculty Articles (1)
- Master's Theses (1)
- Masters Theses & Specialist Projects (1)
- Statistics (1)
- The University of Michigan Department of Biostatistics Working Paper Series (1)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (1)
- Publication Type
Articles 31 - 37 of 37
Full-Text Articles in Statistical Models
Some Problems Of Outliers In Circular Data., Ali H.M. Abuzaid
Some Problems Of Outliers In Circular Data., Ali H.M. Abuzaid
Student Works (2010-2019)
This study considers three problems of outliers in circular statistics. The first problem is an attempt to use the standard outlier detection procedures for linear data set by approximating circular variables by linear variables. This is possible for large values of concentration parameter. Series of simulation studies are carried out to specify the accepted value of the concentration parameter so that the von Mises distribution can be approximated by normal distribution. The second is the problem of outliers in circular samples. Two numerical tests of discordancy are proposed to identify outliers. The test statistics are based on the summation of …
Anomalous Diffusion In Trading Models., Sidiq Mohamad Khidzir
Anomalous Diffusion In Trading Models., Sidiq Mohamad Khidzir
Student Works (2010-2019)
Econophysics is an interdisciplinary research field applying the mathematical methods of statistical physics to economics and finance. It emphasizes quantitative analysis of large amounts of economic and financial data as oppose to the more philosophical approach of political economics. A popular topic studied in econophysics is the distribution of wealth.Many models have been proposed to explain the trading dynamics [12,13] leading to the distribution of wealth universally observed in many countries. A more recent topic in econophysics is the movement of money studied by Brockmann in [19,20]. In this work, we are interested in studying the relation between the distribution …
A New Perspective On Visual Word Processing Efficiency, Joseph W. Houpt, James T. Townsend
A New Perspective On Visual Word Processing Efficiency, Joseph W. Houpt, James T. Townsend
Psychology Faculty Publications
As a fundamental part of our daily lives, visual word processing has received much attention in the psychological literature. Despite the well established perceptual advantages of word and pseudoword context using accuracy, a comparable effect using response times has been elusive. Some researchers continue to question whether the advantage due to word context is perceptual. We use the capacity coefficient, a well established, response time based measure of efficiency to provide evidence of word processing as a particularly efficient perceptual process to complement those results from the accuracy domain.
Linear Dependency For The Difference In Exponential Regression, Indika Sathish, Norou Diawara
Linear Dependency For The Difference In Exponential Regression, Indika Sathish, Norou Diawara
Mathematics & Statistics Faculty Publications
In the field of reliability, a lot has been written on the analysis of phenomena that are related. Estimation of the difference of two population means have been mostly formulated under the no-correlation assumption. However, in many situations, there is a correlation involved. This paper addresses this issue. A sequential estimation method for linearly related lifetime distributions is presented. Estimations for the scale parameters of the exponential distribution are given under square error loss using a sequential prediction method. Optimal stopping rules are discussed using concepts of mean criteria, and numerical results are presented.
Probability Models For Blackjack Poker, Charlie H. Cooke
Probability Models For Blackjack Poker, Charlie H. Cooke
Mathematics & Statistics Faculty Publications
For simplicity in calculation, previous analyses of blackjack poker have employed models which employ sampling with replacement. in order to assess what degree of error this may induce, the purpose here is to calculate results for a typical hand where sampling without replacement is employed. It is seen that significant error can result when long runs are required to complete the hand. The hand examined is itself of particular interest, as regards both its outstanding expectations of high yield and certain implications for pair splitting of two nines against the dealer's seven. Theoretical and experimental methods are used in order …
Encryption Using Deterministic Chaos, Jonathan Blackledge, Nikolai Ptitsyn
Encryption Using Deterministic Chaos, Jonathan Blackledge, Nikolai Ptitsyn
Articles
The concepts of randomness, unpredictability, complexity and entropy form the basis of modern cryptography and a cryptosystem can be interpreted as the design of a key-dependent bijective transformation that is unpredictable to an observer for a given computational resource. For any cryptosystem, including a Pseudo-Random Number Generator (PRNG), encryption algorithm or a key exchange scheme, for example, a cryptanalyst has access to the time series of a dynamic system and knows the PRNG function (the algorithm that is assumed to be based on some iterative process) which is taken to be in the public domain by virtue of the Kerchhoff-Shannon …
Mixture Model Clustering For Very Large Data Sets., Leong Siow Hoo
Mixture Model Clustering For Very Large Data Sets., Leong Siow Hoo
Student Works (2010-2019)
This thesis develops mixture model clustering algorithms scalable to data sets that do not fit into the computer memory buffer. Two algorithms, FlexClust and FlexClustMix, are proposed for clustering very large continuous and mixed data sets respectively. The basic framework of the algorithms is to scale down data incrementally using data compression, and incorporates the later compressed data into the current model with the ability to recover new clusters that have been missed out in the earlier compressed data. It consists of three modules: 1) incremental compression, 2) detecting change in cluster structure, and 3) update of current model. In …