Standard And Anomalous Wave Transport Inside Random Media, 2018 The Graduate Center, City University of New York

#### Standard And Anomalous Wave Transport Inside Random Media, Xujun Ma

*All Dissertations, Theses, and Capstone Projects*

This thesis is a study of wave transport inside random media using random matrix theory. Anderson localization plays a central role in wave transport in random media. As a consequence of destructive interference in multiple scattering, the wave function decays exponentially inside random systems. Anderson localization is a wave effect that applies to both classical waves and quantum waves. Random matrix theory has been successfully applied to study the statistical properties of transport and localization of waves. Particularly, the solution of the Dorokhov-Mello-Pereyra-Kumar (DMPK) equation gives the distribution of transmission.

For wave transport in standard one dimensional random systems in ...

Evaluation Of Using The Bootstrap Procedure To Estimate The Population Variance, 2018 Stephen F Austin State University

#### Evaluation Of Using The Bootstrap Procedure To Estimate The Population Variance, Nghia Trong Nguyen

*Electronic Theses and Dissertations*

The bootstrap procedure is widely used in nonparametric statistics to generate an empirical sampling distribution from a given sample data set for a statistic of interest. Generally, the results are good for location parameters such as population mean, median, and even for estimating a population correlation. However, the results for a population variance, which is a spread parameter, are not as good due to the resampling nature of the bootstrap method. Bootstrap samples are constructed using sampling with replacement; consequently, groups of observations with zero variance manifest in these samples. As a result, a bootstrap variance estimator will carry a ...

Initial Evidence Of Construct Validity Of Data From A Self-Assessment Instrument Of Technological Pedagogical Content Knowledge (Tpack) In 2-Year Public College Faculty In Texas, 2018 University of Texas at Tyler

#### Initial Evidence Of Construct Validity Of Data From A Self-Assessment Instrument Of Technological Pedagogical Content Knowledge (Tpack) In 2-Year Public College Faculty In Texas, Kristin C. Scott

*Human Resource Development Theses and Dissertations*

Technological pedagogical content knowledge (TPACK) has been studied in K-12 faculty in the U.S. and around the world using survey methodology. Very few studies of TPACK in post-secondary faculty have been conducted and no peer-reviewed studies in U.S. post-secondary faculty have been published to date. The present study is the first reliability and validity of data from a TPACK survey to be conducted with a large sample of U.S. post-secondary faculty. The professorate of 2-year public college faculty in Texas will help their institutions meet the goals of the state’s higher education strategic plan, *60x30TX*. In ...

Waste Management By Waste: Removal Of Acid Dyes From Wastewaters Of Textile Coloration Using Fish Scales, 2018 Louisiana State University

#### Waste Management By Waste: Removal Of Acid Dyes From Wastewaters Of Textile Coloration Using Fish Scales, S M Fijul Kabir

*LSU Master's Theses*

Removal of hazardous acid dyes by economical process using low-cost bio-sorbents from wool industry wastewaters is of a pressing need, since it causes skin and respiratory diseases and disrupts other environmental components. Fish scales (FS), a by-product of fish industry, a type of solid waste, are usually discarded carelessly resulting in pungent odor and environmental burden. In this research, the FS of black drum (*Pogonias cromis*) were used for the removal of acid dyes (acid red 1 (AR1), acid blue 45 (AB45) and acid yellow 127 (AY126)) from wool industry wastewaters by absorption process with a view to valorizing fish ...

Building A Better Risk Prevention Model, 2018 Houston County Schools

#### Building A Better Risk Prevention Model, Steven Hornyak

*National Youth-At-Risk Conference Savannah*

This presentation chronicles the work of Houston County Schools in developing a risk prevention model built on more than ten years of longitudinal student data. In its second year of implementation, Houston At-Risk Profiles (HARP), has proven effective in identifying those students most in need of support and linking them to interventions and supports that lead to improved outcomes and significantly reduces the risk of failure.

Predicting The Next Us President By Simulating The Electoral College, 2018 CUNY New York City College of Technology

#### Predicting The Next Us President By Simulating The Electoral College, Boyan Kostadinov

*Publications and Research*

We develop a simulation model for predicting the outcome of the US Presidential election based on simulating the distribution of the Electoral College. The simulation model has two parts: (a) estimating the probabilities for a given candidate to win each state and DC, based on state polls, and (b) estimating the probability that a given candidate will win at least 270 electoral votes, and thus win the White House. All simulations are coded using the high-level, open-source programming language R. One of the goals of this paper is to promote computational thinking in any STEM field by illustrating how probabilistic ...

Queues With Server Utilization Of One, 2018 University of Windsor

#### Queues With Server Utilization Of One, Robert Aidoo

*Major Papers*

In most queueing systems of type *GI/G/1*, the stability condition requires that the server utilization be strictly less than 1. The standard exception is a *D/D/1* system in which stability still holds for server utilization equal to 1. This paper presents other cases when server utilization can equal 1, and discusses their characteristics.

Making Models With Bayes, 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, 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, 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, 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, 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, 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 ...

Balanced Incomplete Block And Lattice Square Designs For Testing Yield Differences Among Large Numbers Of Soybean Varieties, 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, 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, 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, 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, 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, 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?, 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 ...