Social and Behavioral Sciences Commons^™

Nonparametric Bayesian Multiple Comparisons For Dependence Parameter In Bivariate Exponential Populations, M. Masoom Ali, J. S. Cho, Munni Begum

Journal of Modern Applied Statistical Methods

A nonparametric Bayesian multiple comparisons problem (MCP) for dependence parameters in I bivariate exponential populations is studied. A simple method for pairwise comparisons of these parameters is also suggested. The methodology by Gopalan and Berry (1998) is extended using Dirichlet process priors, applied in the form of baseline prior and likelihood combination to provide the comparisons. Computation of the posterior probabilities of all possible hypotheses are carried out through a Markov Chain Monte Carlo, Gibbs sampling, due to the intractability of analytic evaluation. The process of MCP for the dependent parameters of bivariate exponential populations is illustrated with a numerical …

Entropy Criterion In Logistic Regression And Shapley Value Of Predictors, Stan Lipovetsky

Journal of Modern Applied Statistical Methods

Entropy criterion is used for constructing a binary response regression model with a logistic link. This approach yields a logistic model with coefficients proportional to the coefficients of linear regression. Based on this property, the Shapley value estimation of predictors’ contribution is applied for obtaining robust coefficients of the linear aggregate adjusted to the logistic model. This procedure produces a logistic regression with interpretable coefficients robust to multicollinearity. Numerical results demonstrate theoretical and practical advantages of the entropy-logistic regression.

Comparison Of Some Simple Estimators Of The Lognormal Parameters Based On Censored Samples, Baklizi Ayman, Mohammed Al-Haj Ebrahem

Journal of Modern Applied Statistical Methods

Point estimation of the parameters of the lognormal distribution with censored data is considered. The often employed maximum likelihood estimator does not exist in closed form and iterative methods that require very good starting points are needed. In this article, some techniques of finding closed form estimators to this situation are presented and extended. An extensive simulation study is carried out to investigate and compare the performance of these techniques. The results show that some of them are highly efficient as compared with the maximum likelihood estimator.

Statistical Pronouncements V, Jmasm Editors

Journal of Modern Applied Statistical Methods

No abstract provided.

Properties Of The Gar(1) Model For Time Series Of Counts, Vasiliki Karioti, Chrys Caroni

Journal of Modern Applied Statistical Methods

Models for time series count data include several proposed by Zeger and Qaqish (1988), subsequently generalized into the GARMA family. The GAR(1) model is examined in detail. The maximum likelihood estimation of the parameters will be discussed and the properties of Pearson and randomized residuals will be examined.

Variance Estimation And Construction Of Confidence Intervals For Gee Estimator, Shenghai Zhang, Mary E. Thompson

Journal of Modern Applied Statistical Methods

The sandwich estimator, also known as the robust covariance matrix estimator, has achieved increasing use in the statistical literature as well as with the growing popularity of generalized estimating equations (GEE). A modified sandwich variance estimator is proposed, and its consistency and efficiency are studied. It is compared with other variance estimators, such as a model based estimator, the sandwich estimator and a corrected sandwich estimator. Confidence intervals for regression parameters based on these estimators are discussed. Simulation studies using clustered data to compare the performance of variance estimators are reported.

Jmasm22: A Convenient Way Of Generating Normal Random Variables Using Generalized Exponential Distribution, Debasis Kundu, Anubhav Manglick

Journal of Modern Applied Statistical Methods

A convenient method to generate normal random variable using a generalized exponential distribution is proposed. The new method is compared with the other existing methods and it is observed that the proposed method is quite competitive with most of the existing methods in terms of the K − S distances and the corresponding p-values.

A Combined Individuals And Moving Range Control Chart, Michael B. C. Khoo, S. H. Quah, C. K. Ch'ng

Journal of Modern Applied Statistical Methods

An individuals control chart is usually used to monitor shifts in the process mean when it is not possible to form subgroups. The moving range of two successive process measures is used as the basis for estimating the process variability. Similar to the case of the X − R and X − S charts, the individualsmoving range (I-MR) charts are used simultaneously in the monitoring of the process mean and variance respectively for individual observations, requiring maintaining two different charts. In this article, a new approach is suggested where the measurements of both the process mean and variance are plotted …

A Combined Standard Deviation Based Data Clustering Algorithm, Kuttiannan Thangavel, Durairaj Ashok Kumar

Journal of Modern Applied Statistical Methods

The clustering problem has been widely studied because it arises in many knowledge management oriented applications. It aims at identifying the distribution of patterns and intrinsic correlations in data sets by partitioning the data points into similarity clusters. Traditional clustering algorithms use distance functions to measure similarity centroid, which subside the influences of data points. Hence, in this article a novel non-distance based clustering algorithm is proposed which uses Combined Standard Deviation (CSD) as measure of similarity. The performance of CSD based K-means approach, called K-CSD clustering algorithm, is tested on synthetic data sets. It compared favorably to widely used …

The Use Of Hierarchical Ancova In Curriculum Studies, Show-Mann Liou, Chao-Ying Joanne Peng

Journal of Modern Applied Statistical Methods

Many educational studies are carried out in intact settings, such as classrooms or groups in which individual data were collected before and after a treatment. Researchers advocate either the use of individual scores as the unit of analysis or class means. Both approaches suffer from conceptual and methodological limitations. In this article, the use of hierarchical ANCOVA for analyzing quasiexperimental data including baseline measures is designed and promoted. It is illustrated with a realworld data set collected from a curriculum study. Results showed that the hierarchical ANCOVA is a conceptually and methodologically sound approach, and is better than ANCOVA based …

Inside Unlv, Diane Russell, Shane Bevell, Carol C. Harter, Lori Bachand, Cate Weeks, Mamie Peers

Inside UNLV

No abstract provided.

Lsuhsc Facilities Biweekly Update: May 2006, Lsuhsc Property And Facilities Management

LSUHSC Facilities Biweekly Updates: 2006

LSUHSC Facilities Biweekly Updates from May 6 and 27, 2006.

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 2006, Lsuhsc Property And Facilities Management

LSUHSC Facilities Daily Updates: 2006

LSUHSC Dailly Facilities Updates from May 2006. 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.

Profile Likelihood Estimation Of Partially Linear Panel Data Models With Fixed Effects, Liangjun Su, Aman Ullah

Research Collection School Of Economics

We consider consistent estimation of partially linear panel data models with fixed effects. We propose profile-likelihood-based estimators for both the parametric and nonparametric components in the models and establish convergence rates and asymptotic normality for both estimators.

Presentation To National Park Service – Pacific West Region April 25, 2006, Public Lands Institute

Presentations (PLI)

The Public Lands Institute is dedicated to strengthening the national fabric that is essential for the protection, conservation, and management of public lands.

In collaboration with federal, state, and non-profit partners, we are:

• creating new knowledge
• advancing technology
• improving education
• engaging the public to become involved in conservation and stewardship.

Presentation To National Park Service – Pacific West Region April 25, 2006, Public Lands Institute

Presentations (PLI)

The Public Lands Institute is dedicated to strengthening the national fabric that is essential for the protection, conservation, and management of public lands.

In collaboration with federal, state, and non-profit partners, we are:

• creating new knowledge
• advancing technology
• improving education
• engaging the public to become involved in conservation and stewardship.

Paper Session V: Steganography And Terrorist Communications - Current Information And Trends - Tools, Analysis And Future Directions In Steganalysis In Context With Terrorists And Other Criminals, William Eyre, Marcus Rogers

Annual ADFSL Conference on Digital Forensics, Security and Law

In ancient times, users communicated using steganography, “…derived from the Greek words steganos, meaning ‘covered’, and graphein, meaning ‘to write.’” (Singh, 1999, p.5) Steganography facilitates secret, undetected communication. In modern times, in the context of the Global War on Terror, national intelligence and law enforcement agencies need tools to detect hidden information (steganography) in various types of media, most specifically to uncover the placement of hidden information in images. This paper will look at steganography in general terms, presenting the theory of some common steganographic techniques and touching on some theoretical work in steganography. Then a discussion of how to …

Paper Session V: Forensic Software Tools For Cell Phone Subscriber Identity Modules, Wayne Jansen, Rick Ayers

Annual ADFSL Conference on Digital Forensics, Security and Law

Cell phones and other handheld devices incorporating cell phone capabilities (e.g., smart phones) are ubiquitous. Besides placing calls, cell phones allow users to perform other tasks such as text messaging and phonebook entry management. When cell phones and cellular devices are involved in a crime or other incident, forensic specialists require tools that allow the proper retrieval and speedy examination of data present on the device. For devices conforming to the Global System for Mobile Communications (GSM) standards, certain data such as dialed numbers, text messages, and phonebook entries are maintained on a Subscriber Identity Module (SIM). This paper gives …

Paper Session Iv: Development And Delivery Of Coursework - The Legal/Regulatory/Policy Environment Of Cyberforensics, John W. Bagby, John C. Ruhnka

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper describes a cyber-forensics course that integrates important public policy and legal issues as well as relevant forensic techniques. Cyber-forensics refers to the amalgam of multi-disciplinary activities involved in the identification, gathering, handling, custody, use and security of electronic files and records, involving expertise from the forensic domain, and which produces evidence useful in the proof of facts for both commercial and legal activities. The legal and regulatory environment in which electronic discovery takes place is of critical importance to cyber-forensics experts because the legal process imposes both constraints and opportunities for the effective use of evidence gathered through …

Paper Session Iv: Toward Understanding Digital Forensics As A Profession: Defining Curricular Needs (***Research In Process ***), Michelle Wolf, Alan Shafer, Michael Gendron

Annual ADFSL Conference on Digital Forensics, Security and Law

This research paper presents research in process which attempts to define the common body of knowledge (CBK) of digital forensics. Digital forensics is not well defined not does it have a generally accepted CBK. The first three phases of completed research, in a four-phase research process are discussed. The early results have created a preliminary CBK, and final validation is underway.

Paper Session Iii: Research Brief: A Curriculum For Teaching Information Technology Investigative Techniques For Auditors, Grover S. Kearns, Elizabeth V. Mulig

Annual ADFSL Conference on Digital Forensics, Security and Law

Recent prosecutions of highly publicized white-collar crimes combined with public outrage have resulted in heightened regulation and greater emphasis on systems of internal control. Because both white-collar and cybercrimes are usually perpetrated through computers, auditors’ knowledge of information technology (IT) is now more vital than ever. However, preserving digital evidence and investigative techniques, which can be essential to fraud examinations, are not skills frequently taught in accounting programs. Furthermore, many students are not instructed in the use of computer assisted auditing tools and techniques – applications that might uncover fraudulent activity. Only a limited number of university-level accounting classes provide …

Paper Session Ii: Forensic Scene Documentation Using Mobile Technology, Ibrahim Baggili

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper outlines a framework for integrating forensic scene documentation with mobile technology. Currently there are no set standards for documenting a forensic scene. Nonetheless, there is a conceptual framework that forensic scientists and engineers use that includes note taking, scene sketches, photographs, video, and voice interview recordings. This conceptual framework will be the basis that a mobile forensic scene documentation software system is built on. A mobile software system for documenting a forensic scene may help in standardizing forensic scene documentation by regulating the data collection and documentation processes for various forensic disciplines.

Earth Science & Public Policy: Increasing Our Spheres Of Influence, Margaret N. Rees

Presentations (PLI)

The UNLV Public Lands Institute is dedicated to strengthening the national fabric that is essential for the protection, conservation, and management of public lands.

2nd Annual Undergraduate Research Conference Abstract Book, University Of Missouri--Rolla

Undergraduate Research Conference at Missouri S&T

No abstract provided.

2006 - The Eleventh Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Eleventh Annual Symposium of Student Scholars, held on April 7, 2006. Includes abstracts from the presentations and posters.

Iowa Academy Of Science: The New Bulletin, V02n2, Spring 2006, Iowa Academy Of Science

New Bulletin

Inside This Issue:

--Message from the Executive Director

--Iowa’s Young Scientists Shine at American Junior Academy of Science Conference

--Iowa Academy of Science Election 2006

--Saylorville Visitor Center

--IAS Donors

--Iowa Science Teachers Section Fall Conference

Ivibrate: Interactive Visualization Based Framework For Clustering Large Datasets, Keke Chen, Ling Liu

Kno.e.sis Publications

With continued advances in communication network technology and sensing technology, there is astounding growth in the amount of data produced and made available through cyberspace. Efficient and high-quality clustering of large datasets continues to be one of the most important problems in large-scale data analysis. A commonly used methodology for cluster analysis on large datasets is the three-phase framework of sampling/summarization, iterative cluster analysis, and disk-labeling. There are three known problems with this framework which demand effective solutions. The first problem is how to effectively define and validate irregularly shaped clusters, especially in large datasets. Automated algorithms and statistical methods …

Decision Modeling: Why Farmers Do Or Do Not Convert To Organic Farming, Ryan Locke

Independent Study Project (ISP) Collection

This study examines why farmers in Northern New South Wales, Australia do or do not convert to organic farming from conventional farming practices. Organic agriculture provides a production alternative that may be environmentally and nutritionally beneficial. Because the structural settings of economy and society influence decision-making on an individual basis at the farm level, discussions of policy must consider why farmers do, or do not, convert to organic farming. Ultimately, the successfulness of a policy depends on the effectiveness of motivating individual action. A hierarchical decision tree was created using ethnographic decision tree modeling. Elimination criteria, motivational criteria, and constraints …

Detecting The Change Of Clustering Structure In Categorical Data Streams, Keke Chen, Ling Liu

Kno.e.sis Publications

Analyzing clustering structures in data streams can provide critical information for making decision in real time. In this paper, we present a framework for detecting the change of critical clustering structure in categorical data streams. The framework consists of the Hierarchical Entropy Tree structure (HE-Tree) and the extended ACE clustering algorithm. HE-Tree can efficiently capture the entropy property of the categorical data streams and allow us to draw precise clustering information from the data stream for high-quality BkPLots with the extended ACE algorithm.

Impacts Of Salt Production On Pemba, Lauren Wolchok

Independent Study Project (ISP) Collection

The economic, social, and environmental impacts of salt production were studied on the eastern coast of Pemba Island. Solar salt production is associated with the clear cutting of mangrove forests, which are significant as soil stabilizers, animal habitats, and as an economic resource. An environmental assessment of this industry is necessary to determine whether the socio-economic gains from salt production justify the environmental costs. Interviews with owners, employees, and day laborers from 20 salt farms were conducted to assess the general sustainability of the industry. The average annual owner income was determined to be approximately 570 000 Tsh, while employees …