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Old English Character Recognition Using Neural Networks, Sattajit Sutradhar 2018 Georgia Southern University

Old English Character Recognition Using Neural Networks, Sattajit Sutradhar

Electronic Theses and Dissertations

Character recognition has been capturing the interest of researchers since the beginning of the twentieth century. While the Optical Character Recognition for printed material is very robust and widespread nowadays, the recognition of handwritten materials lags behind. In our digital era more and more historical, handwritten documents are digitized and made available to the general public. However, these digital copies of handwritten materials lack the automatic content recognition feature of their printed materials counterparts. We are proposing a practical, accurate, and computationally efficient method for Old English character recognition from manuscript images. Our method relies on a modern machine learning ...


Existing And Potential Statistical And Computational Approaches For The Analysis Of 3d Ct Images Of Plant Roots, Zheng Xu, Camilo Valdes, Jennifer Clarke 2018 University of Nebraska - Lincoln

Existing And Potential Statistical And Computational Approaches For The Analysis Of 3d Ct Images Of Plant Roots, Zheng Xu, Camilo Valdes, Jennifer Clarke

Faculty Publications, Department of Statistics

Scanning technologies based on X-ray Computed Tomography (CT) have been widely used in many scientific fields including medicine, nanosciences and materials research. Considerable progress in recent years has been made in agronomic and plant science research thanks to X-ray CT technology. X-ray CT image-based phenotyping methods enable high-throughput and non-destructive measuring and inference of root systems, which makes downstream studies of complex mechanisms of plants during growth feasible. An impressive amount of plant CT scanning data has been collected, but how to analyze these data efficiently and accurately remains a challenge. We review statistical and computational approaches that have been ...


Data Analysis With Small Samples And Non-Normal Data: Nonparametrics And Other Strategies, Carl Siebert, Darcy C. Siebert 2017 Boise State University

Data Analysis With Small Samples And Non-Normal Data: Nonparametrics And Other Strategies, Carl Siebert, Darcy C. Siebert

Carl Siebert

No abstract provided.


Making Models With Bayes, Pilar Olid 2017 California State University, San Bernardino

Making Models With Bayes, Pilar Olid

Electronic Theses, Projects, and Dissertations

Bayesian statistics is an important approach to modern statistical analyses. It allows us to use our prior knowledge of the unknown parameters to construct a model for our data set. The foundation of Bayesian analysis is Bayes' Rule, which in its proportional form indicates that the posterior is proportional to the prior times the likelihood. We will demonstrate how we can apply Bayesian statistical techniques to fit a linear regression model and a hierarchical linear regression model to a data set. We will show how to apply different distributions to Bayesian analyses and how the use of a prior affects ...


Open Source Artificial Intelligence In A Biological/Ecological Context, Trevor Grant 2017 Illinois State University

Open Source Artificial Intelligence In A Biological/Ecological Context, Trevor Grant

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Discrete Stochastic Modeling For First-Year Biology Students, Dmitry Kondrashov 2017 University of Chicago

Discrete Stochastic Modeling For First-Year Biology Students, Dmitry Kondrashov

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Investigating The Student Enrollment Decision At Wku, Alec Brown 2017 Western Kentucky University

Investigating The Student Enrollment Decision At Wku, Alec Brown

Honors College Capstone Experience/Thesis Projects

The purpose of this research is to investigate the relationships between the enrollment decision of first-time, first-year students admitted to Western Kentucky University and the amount of financial aid awarded, as well as demographic information. The Division of Enrollment Management provided a SAS dataset containing various information about all WKU students admitted in 2013, 2014, and 2015. Additionally, information about the 2016 class of admitted students was provided. The data has been analyzed in SAS Enterprise Miner. We performed analysis using decision tree modeling and logistic regression modeling. Results of these two procedures indicated the importance of credit hours earned ...


Imputation For Random Forests, Joshua Young 2017 Utah State University

Imputation For Random Forests, Joshua Young

All Graduate Plan B and other Reports

This project introduces two new methods for imputation of missing data in random forests. The new methods are compared against other frequently used imputation methods, including those used in the randomForest package in R. To test the effectiveness of these methods, missing data are imputed into datasets that contain two missing data mechanisms including missing at random and missing completely at random. After imputation, random forests are run on the data and accuracies for the predictions are obtained. Speed is an important aspect in computing; the speeds for all the tested methods are also compared.

One of the new methods ...


The Importance Of Inhaler Technique In Measuring And Calculating Inhaler Adherence, And Its Clinical Outcomes, Imran Sulaiman 2017 Royal College of Surgeons in Ireland

The Importance Of Inhaler Technique In Measuring And Calculating Inhaler Adherence, And Its Clinical Outcomes, Imran Sulaiman

PhD theses

Depending on the population studied, cross-sectional observational studies suggest that between 14%-90% of patients do not use their pressurized metered dose inhaler correctly, while 50-60% misuse a dry powder inhaler. This means that unless incorrect technique is acounted for a significant underestimation of how much medication the person actually obtained may be made.

The aim of this thesis was to objectively determine the frequency and importance of inhaler technique errors and to combine these with inhaler use to provide an acurate method of calculating adherence. I then investigated different patterns of inhaler use, determinants of inhaler use and the ...


A Comparison Of Some Confidence Intervals For Estimating The Kurtosis Parameter, Guensley Jerome 2017 Florida International University

A Comparison Of Some Confidence Intervals For Estimating The Kurtosis Parameter, Guensley Jerome

FIU Electronic Theses and Dissertations

Several methods have been proposed to estimate the kurtosis of a distribution. The three common estimators are: g2, G2 and b2. This thesis addressed the performance of these estimators by comparing them under the same simulation environments and conditions. The performance of these estimators are compared through confidence intervals by determining the average width and probabilities of capturing the kurtosis parameter of a distribution. We considered and compared classical and non-parametric methods in constructing these intervals. Classical method assumes normality to construct the confidence intervals while the non-parametric methods rely on bootstrap techniques. The bootstrap techniques used ...


Balanced Incomplete Block And Lattice Square Designs For Testing Yield Differences Among Large Numbers Of Soybean Varieties, Martin G. Weiss, Gertrude M. Cox 2017 Iowa State College

Balanced Incomplete Block And Lattice Square Designs For Testing Yield Differences Among Large Numbers Of Soybean Varieties, Martin G. Weiss, Gertrude M. Cox

Research Bulletin (Iowa Agriculture and Home Economics Experiment Station)

Two quasi-factorial arrangements which are especially well adapted to the testing of differences between large numbers of varieties are described and treated in detail as to their analysis and value.

The arrangements described are balanced incomplete block and lattice square designs. Soybean variety trials are used to illustrate the analysis and the relative precision on soils of varying homogeneity.

Although the efficiency factor of these designs, because of the confounding of variety differences with block effects, is lower than that of randomized complete block designs, yet on soil of normal variability the designs permit the elimination of sufficient variability due ...


Tests Of Significance In Reversal Or Switchback Trials, A. E. Brandt 2017 Iowa State College

Tests Of Significance In Reversal Or Switchback Trials, A. E. Brandt

Research Bulletin (Iowa Agriculture and Home Economics Experiment Station)

By extending "Student's" t-test to differences higher than the first, a method is provided for analyzing the results of reyersal tests employing as many periods as are practical with the organism and test used. It is shown in Part II that identical results can be obtained by the methods of analysis of variance so that the investigator may at will use either the methods presented in Part I or those in Part II if but one attribute of the experimental units is measured. But, if the investigator has one or more other measures relevant to his experimental results and ...


Design Of Agronomic Experiments For Plots Differentiated In Fertility By Past Treatments, H. C. Forester 2017 Iowa State College

Design Of Agronomic Experiments For Plots Differentiated In Fertility By Past Treatments, H. C. Forester

Research Bulletin (Iowa Agriculture and Home Economics Experiment Station)

With the increase in agricultural field trials in recent years, the question of the use of former sites of concluded experiments is becoming of ever increasing importance. It was the aim of the present study to define the possible methods by which areas which have been differentially treated in past experiments may be effectively utilized in new experiments and to determine the efficiency of the various methods.

Methods of design were tested using the yields from a field which formed a portion of a rotation and fertilizer experiment conducted at the Iowa Agricultural Experiment Station since 1915.

The possible methods ...


Methods For Estimating Usual Intake Distributions, Alicia L. Carriquiry, Helen H. Jensen, Wayne A. Fuller, P. Guenther 2017 Iowa State University

Methods For Estimating Usual Intake Distributions, Alicia L. Carriquiry, Helen H. Jensen, Wayne A. Fuller, P. Guenther

Alicia L. Carriquiry

Assessments of dietary adequacy should rely on estimating usual nutrient intake distributions. Such estimates for a population may be obtained from data collected in dietary surveys. We propose a semiparametric approach to transform the observed intake data, which are not normally distributed, into normality and to remove the dependence between individual intake means and variances.


Disproportionate Subclass Numbers In Tables Of Multiple Classification, George W. Snedecor, Gertrude M. Cox 2017 Iowa State College

Disproportionate Subclass Numbers In Tables Of Multiple Classification, George W. Snedecor, Gertrude M. Cox

Research Bulletin (Iowa Agriculture and Home Economics Experiment Station)

Under the stimulus of some of the newer methods of experimentation there is a decided tendency toward the grouping of classes of data into smaller and more homogeneous sub-classes. The weights of swine, for example, may be simultaneously classified according to the sex as well as the litter of the individual animals. Corn yields may be entered in a three-way table by applying the criteria of variety, treatment and soil type. From the resulting tables of multiple classification can be derived information not only of the main effects, such as sex and litter, but also of the interactions between them ...


On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings, Martin Lopez-Garcia 2017 University of Leeds

On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings, Martin Lopez-Garcia

Biology and Medicine Through Mathematics Conference

No abstract provided.


Can Cone Signals In The Wild Be Predicted From The Past?, David H. Foster, Iván Marín-Franch 2017 University of Manchester, UK

Can Cone Signals In The Wild Be Predicted From The Past?, David H. Foster, Iván Marín-Franch

MODVIS Workshop

In the natural world, the past is usually a good guide to the future. If light from the sun and sky is blue earlier in the day and yellow now, then it is likely to be more yellow later, as the sun's elevation decreases. But is the light reflected from a scene into the eye as predictable as the light incident upon the scene, especially when lighting changes are not just spectral but include changes in local shadows and mutual reflections? The aim of this work was to test the predictability of cone photoreceptor signals in the wild over ...


Gilmore Girls And Instagram: A Statistical Look At The Popularity Of The Television Show Through The Lens Of An Instagram Page, Brittany Simmons 2017 Chapman University

Gilmore Girls And Instagram: A Statistical Look At The Popularity Of The Television Show Through The Lens Of An Instagram Page, Brittany Simmons

Student Scholar Symposium Abstracts and Posters

After going on the Warner Brothers Tour in December of 2015, I created a Gilmore Girls Instagram account. This account, which started off as a way for me to create edits of the show and post my photos from the tour turned into something bigger than I ever could have imagined. In just over a year I have over 55,000 followers. I post content including revival news, merchandise, and edits of the show that have been featured in Entertainment Weekly, Bustle, E! News, People Magazine, Yahoo News, & GilmoreNews.

I created a dataset of qualitative and quantitative outcomes from my ...


Spatially Explicit Population Estimates Of The Florida Black Bear, Jacob Michael Humm 2017 University of Tennessee, Knoxville

Spatially Explicit Population Estimates Of The Florida Black Bear, Jacob Michael Humm

Masters Theses

The Florida black bear (Ursus americanus floridanus) is currently comprised of 7 isolated subpopulations: Apalachicola, Eglin, Osceola, Ocala/St. Johns, Chassahowitzka, Highlands/Glades, and Big Cypress. The last statewide assessment of Florida black bear population dynamics was conducted by Simek et al. (2005) using traditional capture-markrecapture methods. The subspecies was removed from Florida’s List of State Threatened Species in 2012 contingent upon the formulation of a management plan that would maintain viable subpopulations of black bears in suitable habitat. Accurate population estimates for each of the remaining black bear subpopulations in Florida were needed to achieve the management goals ...


The Value Of A Win: Analysis Of Playoff Structures, Matthew Orsi 2017 Bryant University

The Value Of A Win: Analysis Of Playoff Structures, Matthew Orsi

Honors Projects in Mathematics

The purpose of this Senior Capstone project is to analyze the distinctions between existing playoff systems. In particular, we are looking to analyze the differences between the standard single-elimination tournament (which the NCAA has used since the inception of the tournament) and other potential options: double-elimination and multiple game series. Popular sports such as Major League Baseball and the National Basketball Association all use multiple game series for their playoffs. This project will use probability theory and simulation to determine the likelihood of different seeds winning a championship as well as the expected number of victories by seed in each ...


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