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Articles 2461 - 2490 of 25792
Full-Text Articles in Social and Behavioral Sciences
"Where We Stand", John Posey, Mary Ricchio
"Where We Stand", John Posey, Mary Ricchio
The Confluence (2009-2020)
ln the wake of the summer's events, the discussion about race in American cities has accelerated. In this important article, Posey and Ricchio present their findings on how St. Louis stands in relation to other cities on key issues surrounding race.
"Creative Destruction In The Antebellum Marketplace: St. Louis Merchants And The Railroad Boom Of The 1850s", Mike Snodgrass
"Creative Destruction In The Antebellum Marketplace: St. Louis Merchants And The Railroad Boom Of The 1850s", Mike Snodgrass
The Confluence (2009-2020)
The 1850s was a time of great change for merchants in St. Louis. Railroads were moving in and with them came greater business competition. Commercial organizations such as the St. Louis Merchants Exchange came about to try to stabilize the marketplace. However, even these groups were unable to protect the market from the qualms and tribulations it would face .
Valuing Improvements To Coastal Waters Using Choice Experiments: An Application To Revisions Of The Eu Bathing Waters Directive, Stephen Hynes, Dugald Tinch, Nick Hanley
Valuing Improvements To Coastal Waters Using Choice Experiments: An Application To Revisions Of The Eu Bathing Waters Directive, Stephen Hynes, Dugald Tinch, Nick Hanley
Working Papers
Planned changes to the European Union’s Bathing Waters Directive (2006/7 EC) will force member states to produce improvements in a number of parameters of coastal water quality. This study uses the choice experiment method to estimate the economic benefits attached to such improvements, based on a sample of recreationalists on beaches in Ireland. The analysis indicates that improvements in all of the bathing water related attributes studied result in positive willingness to pay, and also show evidence of scope effects. Using random parameters and latent class modelling techniques, potential heterogeneity in preferences is then investigated and shown to be present …
7 Tips For An Efficient Faculty Bibliography: How To Tackle Faculty Bibliography Challenges With (Relative) Ease, Marcia L. Dority Baker, Stefanie S. Pearlman
7 Tips For An Efficient Faculty Bibliography: How To Tackle Faculty Bibliography Challenges With (Relative) Ease, Marcia L. Dority Baker, Stefanie S. Pearlman
Marvin and Virginia Schmid Law Library
There are many reasons to compile a faculty bibliography: recording faculty accomplishments, preserving information for future generations, and supporting your institution’s external affairs office, to name a few. Also, it is a potential publication for librarians at a tenure-granting institution. So, why did we decide to create a faculty bibliography? It was a combination of past inquiries from our patrons and the need to publish. Prior to this bibliography, no such compilation of our faculty’s work existed. Although our library hosts a display of current faculty scholarship at the start of each fall semester to promote recent faculty publications, we …
Defining And Assessing Animal Pain, Lynne U. Sneddon, Robert W. Elwood, Shelley A. Adamo, Matthew C. Leach
Defining And Assessing Animal Pain, Lynne U. Sneddon, Robert W. Elwood, Shelley A. Adamo, Matthew C. Leach
Experimentation Collection
The detection and assessment of pain in animals is crucial to improving their welfare in a variety of contexts in which humans are ethically or legally bound to do so. Thus clear standards to judge whether pain is likely to occur in any animal species is vital to inform whether to alleviate pain or to drive the refinement of procedures to reduce invasiveness, thereby minimizing pain. We define two key concepts that can be used to evaluate the potential for pain in both invertebrate and vertebrate taxa. First, responses to noxious, potentially painful events should affect neurobiology, physiology and behaviour …
Regionalization Of Hydrologic Response In The Great Lakes Basin: Considerations Of Temporal Scales Of Analysis, Jonathan Martin Kult, Lauren M. Fry, Andrew D. Gronewold, Woonsup Choi
Regionalization Of Hydrologic Response In The Great Lakes Basin: Considerations Of Temporal Scales Of Analysis, Jonathan Martin Kult, Lauren M. Fry, Andrew D. Gronewold, Woonsup Choi
Geography Faculty Articles
Methods for predicting streamflow in areas with limited or nonexistent measures of hydrologic response commonly rely on regionalization techniques, where knowledge pertaining to gauged watersheds is transferred to ungauged watersheds. Hydrologic response indices have frequently been employed in contemporary regionalization research related to predictions in ungauged basins. In this study, we developed regionalization models using multiple linear regression and regression tree analysis to derive relationships between hydrologic response and watershed physical characteristics for 163 watersheds in the Great Lakes basin. These models provide an empirical means for simulating runoff in ungauged basins at a monthly time step without implementation of …
Zipcode 53206: A Statistical Snapshot Of Inner City Distress In Milwaukee: 2000-2012, Marc V. Levine
Zipcode 53206: A Statistical Snapshot Of Inner City Distress In Milwaukee: 2000-2012, Marc V. Levine
Center for Economic Development Publications
No abstract provided.
Studying Diplomatic Negotiations: Integrating The Personal And Institutional Aspects, Egle Murauskaite
Studying Diplomatic Negotiations: Integrating The Personal And Institutional Aspects, Egle Murauskaite
Peace and Conflict Studies
Following the Middle East Peace Conference in Madrid in 1991, the Arms Control and Regional Security (ACRS) working group was launched as the first and so far only official regional arms control negotiations. While there have been multiple attempts to distil the lessons of the ACRS process, the aspect of events most conducive to forging trust between the negotiators and their inter-personal dynamics has never been explored. This paper takes an inter-disciplinary approach to studying negotiations: it zooms in on the ACRS process, integrating Middle East studies, decision making processes and nonproliferation literature with negotiations theory and oral history techniques, …
Front Matter, Peace And Conflict Studies
Front Matter, Peace And Conflict Studies
Peace and Conflict Studies
No abstract provided.
The Political Economy Of Ivory As A “Conflict Resource”, Natasha White
The Political Economy Of Ivory As A “Conflict Resource”, Natasha White
Peace and Conflict Studies
The past year has seen attention directed, both in policy discourse and the media, towards the implication of Central African non-state armed groups in poaching and ivory trafficking. Engaging with both mainstream political economy analyses and work on the “geographies of resource wars,” this paper turns to the case of ivory as a “conflict resource,” through the case study of the Lord’s Resistance Army. It begins by outlining the contextual specificities and conditions of access, before assessing the compatibility of the resource’s biophysical, spatial and material characteristics with the needs of regional armed groups and the LRA in particular. Though …
Rightsizing Projects With Easyprojects, Valerie L. Harper
Rightsizing Projects With Easyprojects, Valerie L. Harper
University Library Scholarship
Planning and implementing two major projects at once made some form of team-accessible planning software a must. Learn how one library chose a cloud-based project management tool, rightsized it for the two teams' needs and brought organization out of chaos!
Optimal Location Design For Prediction Of Spatial Correlated Environmental Functional Data, Mahdi Rasekhi, B. Jamshidi, F. Rivaz
Optimal Location Design For Prediction Of Spatial Correlated Environmental Functional Data, Mahdi Rasekhi, B. Jamshidi, F. Rivaz
Journal of Modern Applied Statistical Methods
The optimal choice of sites to make spatial prediction is critical for a better understanding of really spatio-temporal data. It is important to obtain the essential spatio-temporal variability of the process in determining optimal design, because these data tend to exhibit both spatial and temporal variability. Two new methods of prediction for spatially correlated functional data are considered. The first method models spatial dependency by fitting variogram to empirical variogram, similar to ordinary kriging (univariate approach). The second method models spatial dependency by linear model co-regionalization (multivariate approach). The variance of prediction method was chosen as the optimization design criterion. …
Missing Data And The Statistical Modeling Of Adolescent Pregnancy, Dudley L. Poston Dr., Eugenia Conde Dr.
Missing Data And The Statistical Modeling Of Adolescent Pregnancy, Dudley L. Poston Dr., Eugenia Conde Dr.
Journal of Modern Applied Statistical Methods
Missing data is a pervasive problem in social science research. Many techniques have been developed to handle the problem. Different ways of handling missing data were shown to lead to different results in statistical models. A demonstration was given based on statistical modeling of the likelihood of a woman reporting having had an adolescent pregnancy by handling missing data with several different approaches. Results indicate that many of the independent variables in the model vary in whether they are, or are not, statistically significant in predicting the log odds of a woman having a teen pregnancy, and in the ranking …
Some General Guidelines For Choosing Missing Data Handling Methods In Educational Research, Jehanzeb R. Cheema
Some General Guidelines For Choosing Missing Data Handling Methods In Educational Research, Jehanzeb R. Cheema
Journal of Modern Applied Statistical Methods
The effect of a number of factors, such as the choice of analytical method, the handling method for missing data, sample size, and proportion of missing data, were examined to evaluate the effect of missing data treatment on accuracy of estimation. A methodological approach involving simulated data was adopted. One outcome of the statistical analyses undertaken in this study is the formulation of easy-to-implement guidelines for educational researchers that allows one to choose one of the following factors when all others are given: sample size, proportion of missing data in the sample, method of analysis, and missing data handling method.
A Comparison Of Methods For Group Prediction With High Dimensional Data, Holmes Finch
A Comparison Of Methods For Group Prediction With High Dimensional Data, Holmes Finch
Journal of Modern Applied Statistical Methods
High dimensional data is the situation in which the number of variables included in an analysis approaches or exceeds the sample size. In the context of group classification, researchers are typically interested in finding a model that can be used to correctly place an individual into their appropriate group; e.g. correctly diagnose individuals with depression. However, when the size of the training sample is small and the number of predictors used to differentiate the groups is larger, standard approaches such as discriminant analysis may not work well. In order to address this issue, statisticians have developed a number of tools …
Robust Winsorized Shrinkage Estimators For Linear Regression Model, Nileshkumar H. Jadhav, D N. Kashid
Robust Winsorized Shrinkage Estimators For Linear Regression Model, Nileshkumar H. Jadhav, D N. Kashid
Journal of Modern Applied Statistical Methods
In multiple linear regression, the ordinary least squares estimator is very sensitive to the presence of multicollinearity and outliers in the response variable. To handle these problems in the data, Winsorized shrinkage estimators are proposed and the performance of these estimators is evaluated through mean square error sense.
Pairwise Comparison In Repeated Measures, I.C.A. Oyeka, C. C. Nnanatu
Pairwise Comparison In Repeated Measures, I.C.A. Oyeka, C. C. Nnanatu
Journal of Modern Applied Statistical Methods
Sometimes a random sample of subjects or patients may be exposed to a battery of diagnostic tests or medication over time and interest is on determining whether there is progressive remission of condition, disease or symptom. Also perhaps early in a program or experiment, subjects or candidates may be required to significantly improve in their performance rates at the current trial relative to an immediately preceding trial, otherwise they may have to withdraw from or drop out. The research interest would then be to determine some critical minimum marginal success rate to guide the management in decision making as well …
Retained-Components Factor Transformation: Factor Loadings And Factor Score Predictors In The Column Space Of Retained Components, André Beauducel, Frank Spohn
Retained-Components Factor Transformation: Factor Loadings And Factor Score Predictors In The Column Space Of Retained Components, André Beauducel, Frank Spohn
Journal of Modern Applied Statistical Methods
Factor loadings optimally account for the non-diagonal elements of the covariance matrix of observed variables. Principal component analysis leads to components accounting for a maximum of the variance of the observed variables. Retained-components factor transformation is proposed in order to combine the advantages of factor analysis and principal component analysis.
Comparison Of Estimators In Glm With Binary Data, D. M. Sakate, D. N. Kashid
Comparison Of Estimators In Glm With Binary Data, D. M. Sakate, D. N. Kashid
Journal of Modern Applied Statistical Methods
Maximum likelihood estimates (MLE) of regression parameters in the generalized linear models (GLM) are biased and their bias is non negligible when sample size is small. This study focuses on the GLM with binary data with multiple observations on response for each predictor value when sample size is small. The performance of the estimation methods in Cordeiro and McCullagh (1991), Firth (1993) and Pardo et al. (2005) are compared for GLM with binary data using an extensive Monte Carlo simulation study. Performance of these methods for three real data sets is also compared.
Objective Priors For Estimation Of Extended Exponential Geometric Distribution, Pedro L. Ramos, Fernando A. Moala, Jorge A. Achcar
Objective Priors For Estimation Of Extended Exponential Geometric Distribution, Pedro L. Ramos, Fernando A. Moala, Jorge A. Achcar
Journal of Modern Applied Statistical Methods
A Bayesian analysis was developed with different noninformative prior distributions such as Jeffreys, Maximal Data Information, and Reference. The aim was to investigate the effects of each prior distribution on the posterior estimates of the parameters of the extended exponential geometric distribution, based on simulated data and a real application.
Bayesian Estimation Of The Parameters Of Two-Component Mixture Of Rayleigh Distribution Under Doubly Censoring, Tahassum N. Sindhu, Navid Feroze, Muhammad Aslam
Bayesian Estimation Of The Parameters Of Two-Component Mixture Of Rayleigh Distribution Under Doubly Censoring, Tahassum N. Sindhu, Navid Feroze, Muhammad Aslam
Journal of Modern Applied Statistical Methods
Recently, the Bayesian analysis of the two-component mixture of lifetime models under singly type I censored samples was discussed. The Bayes estimation of the parameters of mixture of two Rayleigh distributions (MTRD) is developed under doubly censoring. Different informative priors, under squared error loss function and k-loss function, have been assumed for the posterior estimation. The performance of different estimators has been compared in terms of posterior risks by analyzing the simulated and real life data sets.
Life Testing Analysis Of Failure Censored Generalized Exponentiated Data, Anwar Hassan, Mehraj Ahmad
Life Testing Analysis Of Failure Censored Generalized Exponentiated Data, Anwar Hassan, Mehraj Ahmad
Journal of Modern Applied Statistical Methods
A generalized exponential distribution is considered for analyzing lifetime data; such statistical models are applicable when the observations are available in an ordered manner. This study examines failure censored data, which consist of testing n items and terminating the experiment when a pre-assigned number of items, for example r ( < n), have failed. Due to scale and shape parameters, both have flexibility for analyzing different types of lifetime data. This distribution has increasing, decreasing and a constant hazard rate depending on the shape parameter. This study provides maximum likelihood estimation and uniformly minimum variance unbiased techniques for the estimation of reliability of a component. Numerical computation was conducted on a data set and a comparison of the performance of two different techniques is presented.
Some Methods Of Estimation From Censored Samples In Exponential And Gamma Models, R R. L Kantam, B Sriram
Some Methods Of Estimation From Censored Samples In Exponential And Gamma Models, R R. L Kantam, B Sriram
Journal of Modern Applied Statistical Methods
Two popular life testing models exponential and one where its generalization is gamma are considered. Estimation of scale parameter from a general Type-II doubly censored sample is attempted by the principle of maximum likelihood method. Resulting equations found to be giving iterative solutions. As an alternative to iterative solution certain admissible modifications to the estimating equations are suggested in special cases. The resulting estimates are compared with the exact maximum likelihood estimates analytically or through simulation. The results are also extended for reliability estimation.
Double Bootstrap Confidence Interval Estimates With Censored And Truncated Data, Jayanthi Arasan, Mohd B. Adam
Double Bootstrap Confidence Interval Estimates With Censored And Truncated Data, Jayanthi Arasan, Mohd B. Adam
Journal of Modern Applied Statistical Methods
Traditional inferential procedures often fail with censored and truncated data, especially when sample sizes are small. In this paper we evaluate the performances of the double and single bootstrap interval estimates by comparing the double percentile (DB-p), double percentile-t (DB-t), single percentile (B-p), and percentile-t (B-t) bootstrap interval estimation methods via a coverage probability study when the data is censored using the log logistic model. We then apply the double bootstrap intervals to real right censored lifetime data on 32 women with breast cancer and failure data on 98 brake pads where all the observations were left truncated.
Contrast Of Bayesian And Classical Sample Size Determination, Farhana Sadia, Syed S. Hossain
Contrast Of Bayesian And Classical Sample Size Determination, Farhana Sadia, Syed S. Hossain
Journal of Modern Applied Statistical Methods
Sample size determination is a prerequisite for statistical surveys. A comprehensive overview of the Bayesian approach for computation of the sample size, and a comparison with classical approaches, is presented. Two surveys are taken as example to illustrate the accuracy and efficiency of each approach, and to make recommendations about which method is preferred. The Bayesian approach of sample size determination may require fewer subjects if proper prior information is available.
Estimation Of Gumbel Parameters Under Ranked Set Sampling, Omar M. Yousef, Sameer A. Al-Subh
Estimation Of Gumbel Parameters Under Ranked Set Sampling, Omar M. Yousef, Sameer A. Al-Subh
Journal of Modern Applied Statistical Methods
Consider the MLEs (maximum likelihood estimators) of the parameters of the Gumbel distribution using SRS (simple random sample) and RSS (ranked set sample) and the MOMEs (method of moment estimators) and REGs (regression estimators) based on SRS. A comparison between these estimators using bias and MSE (mean square error) was performed using simulation. It appears that the MLE based on RSS can be a robust competitor to the MLE based on SRS.
Estimates And Forecasts Of Garch Model Under Misspecified Probability Distributions: A Monte Carlo Simulation Approach, Olaoluwa S. Yaya, Olusanya E. Olubusoye, Oluwadare O. Ojo
Estimates And Forecasts Of Garch Model Under Misspecified Probability Distributions: A Monte Carlo Simulation Approach, Olaoluwa S. Yaya, Olusanya E. Olubusoye, Oluwadare O. Ojo
Journal of Modern Applied Statistical Methods
The effect of misspecification of correct sampling probability distribution of Generalized Autoregressive Conditionally Heteroscedastic (GARCH) processes is considered. The three assumed distributions are the normal, Student t, and generalized error distributions. The GARCH process is sampled using one of the distributions and the model is estimated based on the three distributions in each sample. Parameter estimates and forecast performance are used to judge the estimated model for performance. The AR-GARCH-GED performed better on the three assumed distributions; even, when Student t distribution is assumed, AR-GARCH-Student t does not perform as the best model.
Local Bandwidths For Improving Performance Statistics Of Model-Robust Regression 2, Efosa Edionwe, Julian L. Mbegbu
Local Bandwidths For Improving Performance Statistics Of Model-Robust Regression 2, Efosa Edionwe, Julian L. Mbegbu
Journal of Modern Applied Statistical Methods
Model-Robust Regression 2 (MRR2) method is a semi-parametric regression approach that combines parametric and nonparametric fits. The bandwidth controls the smoothness of the nonparametric portion. We present a methodology for deriving data-driven local bandwidth that enhances the performance of MRR2 method for fitting curves to data generated from designed experiments.
Bayesian Inference For Volatility Of Stock Prices, Juliet G. D'Cunha, K. A. Rao
Bayesian Inference For Volatility Of Stock Prices, Juliet G. D'Cunha, K. A. Rao
Journal of Modern Applied Statistical Methods
Lognormal distribution is widely used in the analysis of failure time data and stock prices. Maximum likelihood and Bayes estimator of the coefficient of variation of lognormal distribution along with confidence/credible intervals are developed. The utility of Bayes procedure is illustrated by analyzing prices of selected stocks.