Social and Behavioral Sciences Commons^™

On Measuring The Relative Importance Of Explanatory Variables In A Logistic Regression , D. Roland Thomas, Pengcheng Zhu, Bruno D. Zumbo, Shantanu Dutta

Journal of Modern Applied Statistical Methods

A search is described for valid methods of assessing the importance of explanatory variables in logistic regression, motivated by earlier work on the relationship between corporate governance variables and the issuance of restricted voting shares (RSF). The methods explored are adaptations of Pratt’s (1987) approach for measuring variable importance in simple linear regression, which is based on a special partition of R². Pseudo-R² measures for logistic regression are briefly reviewed, and two measures are selected which can be partitioned in a manner analogous to that used by Pratt. One of these is ultimately selected for the variable …

Using Exploratory Factor Analysis For Locating Invariant Referents In Factor Invariance Studies, W. Holmes Finch, Brian F. French

Journal of Modern Applied Statistical Methods

Model identification in multi-group confirmatory factor analysis (MCFA) requires an equality constraint of referent variables across groups. Invariance assumption violations make it difficult to locate parameters that actually differ. Suggested procedures for locating invariant referents are cumbersome, complex, and provide imperfect results. Exploratory factor analysis (EFA) may be an alternative because of its ease of use, yet empirical evaluation of its effectiveness is lacking. EFAs accuracy for distinguishing invariant from non-invariant referents was examined.

Probability Of Coverage And Interval Length For Two-Group Techniques Assessing The Median And Trimmed Mean, S. Jonathan Mends-Cole

Journal of Modern Applied Statistical Methods

The purpose of the present study was to assess the probability of coverage and interval length of selected statistical techniques that have a higher finite sample breakdown point than the mean and appropriate levels of probability of coverage when using Bradley’s (1978) criterion. The techniques were examined using real education and psychology datasets (Sawilowsky & Fahoome, 2003, Sawilowsky & Blair, 1992). Welch’s test exhibited appropriate coverage for the smooth symmetric, mass at zero, digit preference, and extreme bimodal distributions. Yuen’s technique performed well under an extreme bimodal distribution. Results concerning the Maritz-Jarrett and the McKean-Schrader techniques are also presented.

Test For Spatio-Temporal Counts Being Poisson, Haiyan Chen, Howard H. Stratton

Journal of Modern Applied Statistical Methods

The new Log-Linear Test (T_L) is proposed to identify when the Poisson model fails for a collection of count random variables. T_L is shown to have better rejection rate with small sample size and essentially the same power compared to a classical Fisher-Bohning’s Statistic T_F for standard alternatives to Poisson.

Measuring Overall Heterogeneity In Meta-Analyses: Application To Csf Biomarker Studies In Alzheimer’S Disease, Chengjie Xiong, Feng Gao, Yan Yan, Jingqin Luo, Yunju Sung, Gang Shi

Journal of Modern Applied Statistical Methods

The interpretations of statistical inferences from meta-analyses depend on the degree of heterogeneity in the meta-analyses. Several new indices of heterogeneity in meta-analyses are proposed, and assessed the variation/difference of these indices through a large simulation study. The proposed methods are applied to biomakers of Alzheimer’s disease.

When Sensitivity Is A Function Of Age And Time Spent In The Preclinical State In Periodic Cancer Screening, Dongfeng Wu, Ricolindo L. Cariño, Xiaoqin Wu

Journal of Modern Applied Statistical Methods

Probability models are extended for periodic cancer screening trials to model sensitivity when it is changing with an individual’s age and time spent in the preclinical state. Wu et al. (2005) showed that sensitivity is monotone increasing with age, but intuitively, sensitivity is also a function of the time one has spent in the preclinical stage. This allows us to infer sensitivity at a late stage, just before symptoms manifest. We developed the probability model and applied Bayesian inference to the HIP study group data. The methodology we developed is also applicable to other kinds of chronic diseases.

Log-Linear Model To Assess Socioeconomic And Environmental Factors With Childhood Diarrhea Using Hospital Based Surveillance, Krishnan Rajendran, Thandavarayan Ramamurthy, Sujit Kumar Bhattacharya

Journal of Modern Applied Statistical Methods

Categorical outcomes with environment factors analyzed by log linear model are frequent in the environmental epidemiological literature. Epidemiological and socio-economical factors were obtained on 1,119 children below the age of 5 from Infectious Diseases Hospital (IDH) at the Kolkata, India. Significant associations of diarrhea were observed in the rural areas with family income, father’s occupation as a daily labor, literacy of parents, non-cemented floor and wall constructed of mud, and type of storage (wide mouthed earthen pot). The results of the study with specific Log linear model confirm environmental factors were important implications for childhood diarrhea in the rural community. …

Robust General Linear Models And Graphics Via A User Interface (Web Rglm), Kimberly Crimin, Asheber Abebe, Joseph W. Mckean

Journal of Modern Applied Statistical Methods

Rank-based procedures provide superior estimation and testing techniques when the data deviate from normality or contain gross outliers. However, these robust techniques are rarely incorporated in a nonparametric statistics or methods courses due to the lack of computational tools. One reason for this is the existence of certain unavoidable complexities in the numerical methods due to the absence of a closedform solution for the rank estimation problem. This article introduces a user interface, Web RGLM, which may be used to perform rank-based analyses of linear models across the World Wide Web. These models include simple location problems to complicated ANOVA …

Effect On Recreation Benefit Estimates From Correcting For On-Site Sampling Biases And Heterogeneous Trip Overdispersion In Count Data Recreation Demand Models (Stata), Roberto Martínez-Espiñeira, Joseph M. Hilbe

Journal of Modern Applied Statistical Methods

Correction procedures (STATA commands NBSTRAT and GNBSTRAT) are applied to simultaneously account for zero-truncation, endogenous stratification, and overdispersion, and also consider heterogeneity in the overdispersion parameter. Their effect is shown on welfare estimates from previous studies, confirming that the routines perform the appropriate correction and only when endogenous stratification is expected.

Computing Multivariate Process Capability Indices (Excel), Michele Scagliarini, Raffaele Vermiglio

Journal of Modern Applied Statistical Methods

In manufacturing industry there is growing interest in measures of process capability under multivariate setting. Although there are many statistical packages to assess univariate capability, a current problem with the multivariate measures of capability is the shortage of user friendly software. In this article a Visual Basic program has been developed to realize an Excel spreadsheet that may be used to compute two multivariate measures of capability. The aim of this article is to provide a useful tool for practitioners dealing with multivariate capability assessment problems. The features of the program include easy data entry and clear report format.

Logit Estimation Using Warner’S Randomized Response Model, Zawar Hussain, Javid Shabbir

Journal of Modern Applied Statistical Methods

A modified hidden logit estimation procedure is presented based on Warner (1965) randomized response model. Monte Carlo simulations explore the behavior of this estimator and compare its performance with the ordinary logits estimator. Warner’s model is more protective and less jeopardizing.

Estimation Of Covariance Matrix In Signal Processing When The Noise Covariance Matrix Is Arbitrary, Madhusudan Bhandary

Journal of Modern Applied Statistical Methods

An estimator of the covariance matrix in signal processing is derived when the noise covariance matrix is arbitrary based on the method of maximum likelihood estimation. The estimator is a continuous function of the eigenvalues and eigenvectors of the matrix Σ̂₁^1/2S^∗Σ̂₁^1/2, where S^∗ is the sample covariance matrix of observations consisting of both noise and signals and Σ̂₁ is the estimator of covariance matrix based on observations consisting of noise only. Strong consistency and asymptotic normality of the estimator are briefly discussed.

On The Length Of Nhl Shootouts, W. J. Hurley

Journal of Modern Applied Statistical Methods

When NHL teams are tied after 60 minutes of regulation time and 5 minutes of sudden-death overtime, they go to a shootout to determine who gets the overtime point. Teams alternate shots until a winner is determined. The probability of observing shootouts of various lengths is calculated.

Cultural Advantage For Cities: An Alternative For Developing Countries, Florentin Smarandache, Victor Christianto

Branch Mathematics and Statistics Faculty and Staff Publications

No abstract provided.

Community Forests: Needs & Resources For Technical Assistance In Northen New England, Misha Mytar

Muskie School Capstones and Dissertations

The Community Forest Collaborative seeks to expand community ownership and management of forestland in northern New England and has documented the value of community forests both as a community investment strategy and as a component of regional landscape conservation strategies.

Research conducted over the last three years has determined that there needs to be a concerted effort to develop an infrastructure of support communities that want to acquire own and manage forestland. Two principle actions were recommended:

Expand resources for acquisition and management

and

Expand formalize and institutionalize technical assistance

The Devil’S Calculus: Mathematical Models Of Civil War, Ajay Shenoy

Honors Scholar Theses

In spite of the movement to turn political science into a real science, various mathematical methods that are now the staples of physics, biology, and even economics are thoroughly uncommon in political science, especially the study of civil war. This study seeks to apply such methods - specifically, ordinary differential equations (ODEs) - to model civil war based on what one might dub the capabilities school of thought, which roughly states that civil wars end only when one side’s ability to make war falls far enough to make peace truly attractive. I construct several different ODE-based models and then test …

Lsuhsc Facilities Biweekly Update: May 2008, Lsuhsc Property And Facilities Management

LSUHSC Facilities Biweekly Updates: 2008

LSUHSC Facilities Biweekly Updates from May 9 and 23, 2008.

These updates describe damage and a timeline of repairs at the LSU Health Sciences Center - New Orleans campus due to Hurricane Katrina which made landfall August 29, 2005.

Lsuhsc Facilities Daily Update: May 2008, Lsuhsc Property And Facilities Management

LSUHSC Facilities Daily Updates: 2008

LSUHSC Dailly Facilities Updates from May 2008. These updates describe damage and a timeline of repairs at the LSU Health Sciences Center - New Orleans campus due to Hurricane Katrina which made landfall August 29, 2005.

Stress Test, M. Thulasidas

Research Collection School Of Computing and Information Systems

Ultimately, the risk factors that create stress in professional life do not generate any reward

Acknowledging The Impact Of Climate Change On National Security: A Long And Winding Road, Linda A. Malone

Popular Media

No abstract provided.

The Cyber-Workplace – Identifying Liability Issues In The Information Age And Managing E-Risk, Nigel Wilson

Annual ADFSL Conference on Digital Forensics, Security and Law

The information age provides numerous opportunities for modern society but also presents significant challenges in identifying liability issues and in managing risk. Technological change has occurred rapidly and is continuing at the same time as other major trends and changes are taking place in society and, in particular, in the workplace. The prospect of global liability and the complexity of jurisdictional differences present a considerable hurdle to the uniform regulation of liability issues. General legislation and legal principles have been readily applied to the cyber-world and to modern business practices and the workplace. Where necessary, legislatures have introduced specific legislation …

Data Mining Techniques For Fraud Detection, Rekha Bhowmik

Annual ADFSL Conference on Digital Forensics, Security and Law

The paper presents application of data mining techniques to fraud analysis. We present some classification and prediction data mining techniques which we consider important to handle fraud detection. There exist a number of data mining algorithms and we present statistics-based algorithm, decision tree-based algorithm and rule-based algorithm. We present Bayesian classification model to detect fraud in automobile insurance. Naïve Bayesian visualization is selected to analyze and interpret the classifier predictions. We illustrate how ROC curves can be deployed for model assessment in order to provide a more intuitive analysis of the models.

Keywords: Data Mining, Decision Tree, Bayesian Network, ROC …

Simple - Rethinking The Monolithic Approach To Digital Forensic Software, Craig Valli

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper outlines a collaborative project nearing completion between the sec.au Security Research Group at Edith Cowan University and Western Australian Police Computer Crime Squad. The primary goal of this project is to create a software tool for use by non-technical law enforcement officers during the initial investigation and assessment of an electronic crime scene. This tool will be designed as an initial response tool, to quickly and easily find, view and export any relevant files stored on a computer, establishing if further expert investigation of that computer is warranted. When fully developed, the tool will allow investigators unprecedented real …

How Virtualized Environments Affect Computer Forensics, Diane Barrett

Annual ADFSL Conference on Digital Forensics, Security and Law

Virtualized environments can make forensics investigation more difficult. Technological advances in virtualization tools essentially make removable media a PC that can be carried around in a pocket or around a neck. Running operating systems and applications this way leaves very little trace on the host system. This paper will explore all the newest methods for virtualized environments and the implications they have on the world of forensics. It will begin by describing and differentiating between software and hardware virtualization. It will then move on to explain the various methods used for server and desktop virtualization. Next, it will describe the …

The Virtual Digital Forensics Lab - Expanding Law Enforcement Capabilities, Mark Mccoy, Sean A. Ensz

Annual ADFSL Conference on Digital Forensics, Security and Law

Law enforcement is attempting to respond to the growing and complex need to examine all manner of digital evidence using stand-alone forensic workstations and limited storage solutions. Digital forensic investigators often find their cases stalled by cumbersome and inflexible technology limiting their effectiveness. The Virtual Digital Forensics Lab (VDFL) is a new concept that applies existing enterprise host, storage, and network virtualization technologies to current forensic investigative methods. This paper details the concept of the VDFL, the technology solutions it employs, and the flexibility it provides for digital forensic investigators.

Keywords: Virtual Digital Forensics, digital forensic investigations, law enforcement, virtual …

Digital Forensic Certification Versus Forensic Science Certification, Nena Lim

Annual ADFSL Conference on Digital Forensics, Security and Law

Companies often rely on certifications to select appropriate individuals in disciplines such as accounting and engineering. The general public also tends to have confidence in a professional who has some kinds of certification because certification implies a standard of excellence and that the individual has expert knowledge in a specific discipline. An interesting question to the digital forensic community is: How is a digital forensic certification compared to a forensic science certification? The objective of this paper is to compare the requirements of a digital forensic certification to those of a forensic science certification. Results of the comparison shed lights …

Ws3: International Workshop On Context-Enabled Source And Service Selection, Integration And Adaptation, Quan Z. Sheng, Ullas Nambiar, Amit P. Sheth, Biplav Srivastava, Zakaria Maamr, Said Elnaffar

Kno.e.sis Publications

This write-up provides a summary of the International Workshop on Context enabled Source and Service Selection, Integration and Adaptation (CSSSIA 2008), organized in conjunction with WWW2008, at Beijing, China on April 22nd 2008. We outline the motivation for organizing the work-shop, briefly describe the organizational details and program of the workshop, and summarize each of the papers accepted by the workshop. More information about the workshop can be found at http://www.cs.adelaide.edu.au/∼csssia08/.

2008 - The Thirteenth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Thirteenth Annual Symposium of Student Scholars, held on April 14, 2008. Includes abstracts from the presentations and posters.

38th Annual Wku Student Research Conference, Student Research Council, Western Kentucky University

Student Research Conference Select Presentations

Western Kentucky University 38th Annual Student Research Conference program and student abstracts. Saturday, April 12, 2008, Carroll Knicely Conference Center, Bowling Green, Kentucky.

Searching For Binding Partners For The Novel Phkg1 Variant, Phkγ 181, Kishore Polireddy

Student Research Conference Select Presentations

Phopshorylase kinase (PhK) is a hexadecameric holoenzyme made up of four different subunits in the arrangement (αβγδ)4 and has total molecular mass of 1.3MDa. Alpha and β are regulatory subunits, γ is catalytic, and δ is an intrinsic molecule of calmodulin. PhK is a serine threonine kinase with glycogenolytic regulatory functions. Our lab has recently discovered that the γ subunit can be alternatively processed to produce a truncated form of 181 residues (γ-181). This variant of γ contains a phosphorylation site for PK-C, and its activity is influenced by this phosphorylation. We are using a LexA based yeast two hybrid …