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Articles 1711 - 1740 of 17312
Full-Text Articles in Entire DC Network
Climate Change And The Conservation Of Archaeological Sites: A Review Of Impacts Theory, Caithleen Daly
Climate Change And The Conservation Of Archaeological Sites: A Review Of Impacts Theory, Caithleen Daly
Articles
This article identifies the current state of knowledge in the literature regarding the possible impacts of future climatic change on archaeological sites and ensembles. Drawing on the literature review a matrix of potential impacts is collated to provide a simplified overview. This theoretical ‘menu’ is then tested by applying it to a vulnerability assessment of the World Heritage site of Skellig Michael in Ireland. The case study results reveal some knowledge gaps, particularly in regard to the impacts of climate change on buried archaeological remains.
Infinite-Randomness Criticality In A Randomly Layered Heisenberg Magnet, Fawaz Hrahsheh, Hatem Barghathi, Thomas Vojta
Infinite-Randomness Criticality In A Randomly Layered Heisenberg Magnet, Fawaz Hrahsheh, Hatem Barghathi, Thomas Vojta
Physics Faculty Research & Creative Works
We study the ferromagnetic phase transition in a randomly layered Heisenberg magnet using large-scale Monte Carlo simulations. Our results provide numerical evidence for the infinite-randomness scenario recently predicted within a strong-disorder renormalization-group approach. Specifically, we investigate the finite-size scaling behavior of the magnetic susceptibility, which is characterized by a nonuniversal power-law divergence in the Griffiths phase. We also study the perpendicular and parallel spin-wave stiffnesses in the Griffiths phase. In agreement with the theoretical predictions, the parallel stiffness is nonzero for all temperatures T < Tc. In contrast, the perpendicular stiffness remains zero in part of the ordered phase, giving …
Statistical Thermodynamics Of Material Transport In Non-Isothermal Mixtures, Semen Semenov, Martin Schimpf
Statistical Thermodynamics Of Material Transport In Non-Isothermal Mixtures, Semen Semenov, Martin Schimpf
Chemistry and Biochemistry Faculty Publications and Presentations
This chapter outlines a theoretical framework for the microscopic approach to material transport in liquid mixtures, and applies that framework to binary one-phase systems. The material transport in this approach includes no hydrodynamic processes related to the macroscopic transfer of momenta. In analyzing the current state of thermodynamic theory, we indicate critically important refinements necessary to use non-equilibrium thermodynamics and statistical mechanics in the application to material transport in nonisothermal mixtures.
Five Obstacles To Grading Reform, Thomas R. Guskey
Five Obstacles To Grading Reform, Thomas R. Guskey
Educational, School, and Counseling Psychology Faculty Publications
Education leaders must recognize obstacles to grading reform that are rooted in tradition—and then meet them head on.
State Of The Nation: K–12 Online Learning In Canada, Michael K. Barbour
State Of The Nation: K–12 Online Learning In Canada, Michael K. Barbour
Education Faculty Publications
A variety of initiatives are driving online and blended learning in each of Canada’s provinces and territories. From teachers’ unions in Nova Scotia fighting to ensure online learning is an accepted method of educational delivery, to Ontario’s College of Teachers creating an e-learning endorsement for teachers or the British Columbia government creating policies to expand the growth and opportunities online learning provides, there are multiple, isolated initiatives happening across the country.
State of the Nation: K-12 Online Learning in Canada is now in its fourth year of publication and can be seen as a national guide for understanding the field …
The Communicator, Volume 7, Issue 2, November 2011
The Communicator, Volume 7, Issue 2, November 2011
The Communicator: News from the Nebraska Cooperative Fish and Wildlife Research Unit
We welcome Noelle Chaine, Kent Fricke, Danielle Haak, Caroline Jezierski, Jessica Laskowski, Lindsey Messinger, Shana Sundstrom and Kelly Turek to the Coop Unit.
Population Assessment of Channel Catfish in Nebraska’s Reservoirs
Graduate Student News: Dustin Martin, Kristine Nemec, Shana Sundstrom, Aaron Lotz
Announcements: Nate Gosch, Ashley Manley, Carla Bobier, Dan Uden, Carla (Knight) Bobier, Chris and Lindsey (Richters) Chizinski, and Nick Smeenk
Weed Management Summit at the Ramada Inn, Kearney, NE. January 17–18, 2012
Outreach Activities: Karie Decker, Chris Chizinski, Karie Decker, Alex Engle, Carla Bobier, Natalie Luben, Dustin Martin, and Kevin Pope, Chris Jorgensen, Lindsey Messinger, and Ryan Stutzman, …
The Unforgettable Experience Of A Workshop On Pythagoras Theorem, Salima Shahzad Arwani
The Unforgettable Experience Of A Workshop On Pythagoras Theorem, Salima Shahzad Arwani
Institute for Educational Development, Karachi
No abstract provided.
Brief 2: Overcoming Fragmented Governance: The Case Of Climate Change And The Mdgs, Oran R. Young
Brief 2: Overcoming Fragmented Governance: The Case Of Climate Change And The Mdgs, Oran R. Young
Governance and Sustainability Issue Brief Series
Fragmented governance hampers efforts to address tightly coupled challenges, like coming to grips with climate change and fulfilling the Millennium Development Goals. The way forward is to launch programmatic initiatives focusing on adaptation to climate change and the transition to a green economy that appeal to many separate bodies as win-win opportunities.
Competencies: A Cure For Pre-Med Curriculum, Winston Anderson, Richard Amasino, Manuel Ares, Utpal Banerjee, Bonnie Bartel, Victor Corces, Catherine Drennan, Sarah C.R. Elgin, Irving Epstein, Ellen Fanning, Louis Guillette, Jo Handelsman, Graham Hatfull, Ronald Hoy, Darcy Kelley, Leslie Leinwand, Richard Losick, Yi Lu, David Lynn, Claudia Neuhauser, Diane O'Dowd, Toto Olivera, Pavel Pevzner, Rebecca Richards-Kortum, Jasper Rine, Robert Sah, Scott Strobel, Graham Walker, David Walt, Isiah Warner, Sue Wessler, Huntington Willard, Richard Zare
Competencies: A Cure For Pre-Med Curriculum, Winston Anderson, Richard Amasino, Manuel Ares, Utpal Banerjee, Bonnie Bartel, Victor Corces, Catherine Drennan, Sarah C.R. Elgin, Irving Epstein, Ellen Fanning, Louis Guillette, Jo Handelsman, Graham Hatfull, Ronald Hoy, Darcy Kelley, Leslie Leinwand, Richard Losick, Yi Lu, David Lynn, Claudia Neuhauser, Diane O'Dowd, Toto Olivera, Pavel Pevzner, Rebecca Richards-Kortum, Jasper Rine, Robert Sah, Scott Strobel, Graham Walker, David Walt, Isiah Warner, Sue Wessler, Huntington Willard, Richard Zare
Biology Faculty Research
No abstract provided.
Error Analysis On The Generalized Negative Binomial Distribution, Felix Famoye, Oluwakemi Aremu
Error Analysis On The Generalized Negative Binomial Distribution, Felix Famoye, Oluwakemi Aremu
Journal of Modern Applied Statistical Methods
The generalized negative binomial distribution characterized by three parameters, has been used to fit data from various fields of study. The distribution can model data for which the variance is larger or smaller than the mean, however, it becomes truncated under certain conditions. This truncation error is investigated via a detailed error analysis that determines the parameter space when the model can be used in place of the truncated generalized negative binomial distribution. The fitting of a generalized negative. K. M. Ramachandran is a
A Permutation Test For Compound Symmetry With Application To Gene Expression Data, Tracy L. Morris, Mark E. Payton, Stephanie A. Santorico
A Permutation Test For Compound Symmetry With Application To Gene Expression Data, Tracy L. Morris, Mark E. Payton, Stephanie A. Santorico
Journal of Modern Applied Statistical Methods
The development and application of a permutation test for compound symmetry is described. In a simulation study the permutation test appears to be a level-α test and is robust to non-normality. However, it exhibits poor power, particularly for small samples.
Ordinal Regression Analysis: Predicting Mathematics Proficiency Using The Continuation Ratio Model, Xing Liu, Ann A. O'Connell, Hari Koirala
Ordinal Regression Analysis: Predicting Mathematics Proficiency Using The Continuation Ratio Model, Xing Liu, Ann A. O'Connell, Hari Koirala
Journal of Modern Applied Statistical Methods
One commonly used model to analyze ordinal response data is the proportional odds (PO) model. However, if research interest is focused on a particular category and if an individual must pass through lower categories before achieving a higher level, the continuation ratio (CR) model is a more appropriate choice than the PO model. In addition, statistical software, such as Stata and SAS, may use different techniques to estimate the parameters. The CR model is used to illustrate the analysis of ordinal data in education using Stata and SAS and compares the results of fitting the CR model between these two …
Estimation And Hypothesis Testing In Lav Regression With Autocorrelated Errors: Is Correction For Autocorrelation Helpful?, Terry E. Dielman
Estimation And Hypothesis Testing In Lav Regression With Autocorrelated Errors: Is Correction For Autocorrelation Helpful?, Terry E. Dielman
Journal of Modern Applied Statistical Methods
Using the Prais-Winsten correction and adding a lagged variable provides improved estimates (smaller MSE) in least absolute value (LAV) regression when moderate to high levels of autocorrelation are present. When comparing empirical levels of significance for hypothesis tests, adding a lagged variable outperforms other approaches but has a relative high empirical level of significance.
Control Balanced Designs Involving Sequences Of Treatments, Cini Varghese, Seema Jaggi
Control Balanced Designs Involving Sequences Of Treatments, Cini Varghese, Seema Jaggi
Journal of Modern Applied Statistical Methods
Designs involving sequences of treatments for test vs. control comparisons are suitable for research in which each experimental unit receives treatments over time in order to compare several test treatments to one (or more) control treatment(s). These designs can be advantageously used in screening experiments and bioequivalence trials. Three series of such designs are constructed in incomplete sequences wherein the first class of designs is variance balanced while the other two classes of designs are partially variance balanced for test versus test comparisons of both direct and residual effects of treatments.
Probabilistic Inferences For The Sample Pearson Product Moment Correlation, Jeffrey R. Harring, John A. Wasko
Probabilistic Inferences For The Sample Pearson Product Moment Correlation, Jeffrey R. Harring, John A. Wasko
Journal of Modern Applied Statistical Methods
Fisher’s correlation transformation is commonly used to draw inferences regarding the reliability of tests comprised of dichotomous or polytomous items. It is illustrated theoretically and empirically that omitting test length and difficulty results in inflated Type I error. An empirically unbiased correction is introduced within the transformation that is applicable under any test conditions.
Non-Homogenous Poisson Process For Evaluating Stage I & Ii Ductal Breast Cancer Treatment, Chris P. Tsokos, Yong Xu
Non-Homogenous Poisson Process For Evaluating Stage I & Ii Ductal Breast Cancer Treatment, Chris P. Tsokos, Yong Xu
Journal of Modern Applied Statistical Methods
Non-Homogenous Poisson Process (NHPP), also known as the Power Law process (PLP) or the Weibull Process, is used to evaluate the effectiveness of a given treatment for Stage I & II ductal breast cancer patients. The behavior of the shape parameter of the intensity function is examined to evaluate the response of a given treatment with respect to its effectiveness for a cancer subject.
On Maximum Likelihood Estimators Of The Parameters Of A Modified Weibull Distribution Using Extreme Ranked Set Sampling, Amer Ibrahim Al-Omari, Said Ali Al-Hadhrami
On Maximum Likelihood Estimators Of The Parameters Of A Modified Weibull Distribution Using Extreme Ranked Set Sampling, Amer Ibrahim Al-Omari, Said Ali Al-Hadhrami
Journal of Modern Applied Statistical Methods
Extreme ranked set sampling (ERSS) is considered to estimate the three parameters and population mean of the modified Weibull distribution (MWD). The maximum likelihood estimator (MLE) is investigated and compared to the corresponding one based on simple random sampling (SRS). It is found that, the MLE based on ERSS is more efficient than MLE using SRS for estimating the three parameters of the MWD. The ERSS estimator of the population mean of the MWD is also found to be more efficient than the SRS based on the same number of measured units.
Identifying Outliers In Fuzzy Time Series, S. Suresh, K. Senthamarai Kannan
Identifying Outliers In Fuzzy Time Series, S. Suresh, K. Senthamarai Kannan
Journal of Modern Applied Statistical Methods
Time series analysis is often associated with the discovery of patterns and prediction of features. Forecasting accuracy can be improved by removing identified outliers in the data set using the Cook’s distance and Studentized residual test. In this paper a modified fuzzy time series method is proposed based on transition probability vector membership function. It is experimentally shown that the proposed method minimizes the average forecasting error compared with other known existing methods.
Modeling Repairable System Failures With Interval Failure Data And Time Dependent Covariate, Jayanthi Arasan, Samira Ehsani
Modeling Repairable System Failures With Interval Failure Data And Time Dependent Covariate, Jayanthi Arasan, Samira Ehsani
Journal of Modern Applied Statistical Methods
An application of a repairable system model for interval failure data with a time dependent covariate is examined. The performance of several models based on the NHPP when applied to real data on ball bearing failures is also explored. The best model for the data was selected based on results of the likelihood ratio test. The bootstrapping technique was applied to obtain the variance estimate for the estimated expected number of failures. Results demonstrate that the proposed model works well and is easy to implement, in addition the bootstrap variance estimate provides a simple substitute for the traditional estimate.
Salary Equity Studies: An Analysis Of Using The Blinder-Oaxaca Decomposition To Estimate Differences In Faculty Salaries By Gender, Sally A. Lesik, Carolyn R. Fallahi
Salary Equity Studies: An Analysis Of Using The Blinder-Oaxaca Decomposition To Estimate Differences In Faculty Salaries By Gender, Sally A. Lesik, Carolyn R. Fallahi
Journal of Modern Applied Statistical Methods
Parameter estimates for equity studies tested for stability are described. Bootstrap simulation can test whether parameter estimates remain stable given changes in the sample data; fractional polynomials can be used to access functional form specification; and variance inflation factors can be used to test for multicollinearity.
Higher Order C(T, P, S) Crossover Designs, James F. Reed Iii
Higher Order C(T, P, S) Crossover Designs, James F. Reed Iii
Journal of Modern Applied Statistical Methods
A crossover study is a repeated measures design in which each subject is randomly assigned to a sequence of treatments, including at least two treatments. The most damning characteristic of a crossover study is the potential of a carryover effect of one treatment to the next period. To solve the first-order crossover problem characteristic in the classic AB|BA design, the design must be extended. One alternative uses additional treatment sequences in two periods; a second option is to add a third period and repeat one of the treatments. Assuming a traditional model that specifies a first-order carryover effect, this study …
Sensitivity Analysis For Two-Level Value Functions With Applications To Bilevel Programming, S Dempe, Boris S. Mordukhovich, B Zemkoho
Sensitivity Analysis For Two-Level Value Functions With Applications To Bilevel Programming, S Dempe, Boris S. Mordukhovich, B Zemkoho
Mathematics Research Reports
This paper contributes to a deeper understanding of the link between a now conventional framework in hierarchical optimization spread under the name of the optimistic bilevel problem and its initial more difficult formulation that we call here the original optimistic bilevel optimization problem. It follows from this research that, although the process of deriving necessary optimality conditions for the latter problem is more involved, the conditions themselves do not to a large extent differ from those known for the conventional problem. It has been already well recognized in the literature that for optimality conditions of the usual optimistic bilevel program …
Price Points And Price Rigidity, Daniel Levy, Dongwon Lee, Haipeng (Allen) Lee, Robert J. Kauffman, Mark Bergen
Price Points And Price Rigidity, Daniel Levy, Dongwon Lee, Haipeng (Allen) Lee, Robert J. Kauffman, Mark Bergen
Research Collection School Of Computing and Information Systems
We study the link between price points and price rigidity using two data sets: weekly scanner data and Internet data. We find that ‘‘9’’ is the most frequent ending for the penny, dime, dollar, and ten-dollar digits; the most common price changes are those that keep the price endings at ‘‘9’’; 9-ending prices are less likely to change than non-9-ending prices; and the average size of price change is larger for 9-ending than non-9- ending prices. We conclude that 9-ending contributes to price rigidity from penny to dollar digits and across a wide range of product categories, retail formats, and …
Estimation Of Velocity Uncertainties From Gps Time Series: Examples From The Analysis Of The South African Trignet Network, Matthias Hackl, Rocco Malservisi, Urs Hugentobler, Richard Wonnacott
Estimation Of Velocity Uncertainties From Gps Time Series: Examples From The Analysis Of The South African Trignet Network, Matthias Hackl, Rocco Malservisi, Urs Hugentobler, Richard Wonnacott
School of Geosciences Faculty and Staff Publications
We present a method to derive velocity uncertainties from GPS position time series that are affected by time‐correlated noise. This method is based on the Allan variance, which is widely used in the estimation of oscillator stability and requires neither spectral analysis nor maximum likelihood estimation (MLE). The Allan variance of the rate (AVR) is calculated in the time domain and hence is not too sensitive to gaps in the time series. We derived analytical expressions of the AVR for different kinds of noises like power law noise, white noise, flicker noise, and random walk and found an expression for …
Editor's Note: Reaching New Heights, Matt Lazier
Editor's Note: Reaching New Heights, Matt Lazier
Cal Poly Magazine
No abstract provided.
Honored Alumni - A Lasting Impression, Matt Lazier
Honored Alumni - A Lasting Impression, Matt Lazier
Cal Poly Magazine
No abstract provided.
Cal Poly Magazine, Winter 2011
Understanding The Evolving Roles Of Improvement–Oriented High School Teachers In Gilgit-Baltistan, Takbir Ali
Understanding The Evolving Roles Of Improvement–Oriented High School Teachers In Gilgit-Baltistan, Takbir Ali
Institute for Educational Development, Karachi
In this paper the author presents a framework for understanding how improvement-oriented high school teachers’ accounts of change experiences portray their evolving roles as change agents in school reform. The data on which this paper is based come from a one-year long in-depth study (doctoral thesis research project) in which the author set out to investigate how improvement-oriented teachers pursue important changes in the realm of classroom, school and community; how the teachers-initiated changes can be characterized; and how the teachers’ roles evolve with their change practices. The researcher employed qualitative case study methodology, using in-depth interviews, classroom observations, post-observation …
Test Performance And Study Breaks, Lori Mcginley
Test Performance And Study Breaks, Lori Mcginley
Master's Theses or Doctor of Nursing Practice
As the culture of American education changes, recess time is declining in favor of instruction time. An important question, however, is whether this shift is truly going to yield the best learning outcomes. The purpose of the present study is to examine the effect of taking a break, both mental and physical, on test performance. Seventy college students were tested on their learning of a list of phobias that they had studied in one of three conditions: no break, mental break, and physical break. It was predicted that participants would perform better on a subsequent memory task when a break …