Social and Behavioral Sciences Commons^™

Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 2: Profiles Of Artist Neighborhoods, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran

All Maxine Goodman Levin School of Urban Affairs Publications

A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.

Slides: Development Of Shale: Water Resource Concerns And Policy Considerations, Katy Dunlap

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: Katy Dunlap, Eastern Water Project Director, Trout Unlimited, Inc., Burdett, NY

24 slides

Slides: Water And Development Of Unconventional Oil And Gas Resources, Judy Jordan

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: Judy Jordan, Oil & Gas Liaison, Garfield County, Rifle, CO

21 slides

Slides: Shale Drilling And Completions, William Fleckenstein

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: William Fleckenstein, BP Adjunct Professor in the Petroleum Department and Director of PERFORM Research, Colorado School of Mines, Golden, CO, and Managing Partner of Fleckenstein, Eustes & Associates

20 slides

Slides: U.S. Shale Gas: Resources, Reserves And $$$, John B. Curtis

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: John B. Curtis, Professor of Geology and Geological Engineering and Director of the Potential Gas Agency, Colorado School of Mines, Golden, CO

17 slides

Slides: The Here And Now Of U.S. Nat Gas, Michelle Michot Foss

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: Michelle Michot Foss, Chief Energy Economist, Center for Energy Economics, Bureau of Economic Geology, University of Texas, Austin, TX

12 slides

Pooling For Horizontal Wells: Can They Teach An Old Dog New Tricks?, Bruce M. Kramer

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

74 pages.

This paper was originally published as:

Bruce M. Kramer, “Pooling for Horizontal Wells: Can They Teach an Old Dog New Tricks?,” 55 Rocky Mt. Min. L. Inst. 8-1, § 8.05 (2009).

Slides: Shale And Air Quality: The View From The Other Side, Jeremy Nichols

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: Jeremy Nichols, Climate & Energy Program Director, WildEarth Guardians, Denver, CO

18 slides

Slides: Transforming And Disrupting: Shale Gas And Oil In U.S. Energy Supply, Richard Nehring

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: Richard Nehring, Nehring Associates, Colorado Springs, CO

15 slides

Slides: Evolving Policy On Shale Plays, John Martin

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

Presenter: John Martin, Crowell & Moring, LLP, Washington, DC

17 slides

Agenda: Shale Plays In The Intermountain West: Legal And Policy Issues, University Of Colorado Boulder. Natural Resources Law Center

Shale Plays in the Intermountain West: Legal and Policy Issues (November 12)

This one-day symposium to be held at the Grand Hyatt hotel in Denver will address the technology, economics, environmental impacts, and regulatory issues associated with shale gas development in the Rocky Mountain region. The purpose of this event is to facilitate productive dialogue among a wide range of stakeholders and interested parties to guide policy decisions.

Closing The Gap Between The Industry And Higher Education Institutions- Case Examples From East African Region, Deogratias Harorimana Mr

Dr Deogratias Harorimana

Much complained about is the quality of graduates Universities put on the labour market. Less talked about however is why knowledge institutions seems to be bad knowledge managers. In this presentation I argue that DIRECT collaborative relationship between Industry,Governments and Higher Education Institutions is a per-requisite.Good relationship is key to building such a successful knowledge transfer strategies between Industries and Educational and Research Institutions. This paper explores what makes a good Knowledge Transfer Partnership Strategy and highlights some key lessons for businesses, Universities and Government bodies. This paper was a Key note presentation to the Annual International Conference on Building …

Flexible Bootstrapping-Based Ontology Alignment, Prateek Jain, Pascal Hitzler, Amit P. Sheth

Kno.e.sis Publications

BLOOMS (Jain et al, ISWC2010) is an ontology alignment system which, in its core, utilizes the Wikipedia category hierarchy for establishing alignments. In this paper, we present a Plug-and-Play extension to BLOOMS, which allows to flexibly replace or complement the use of Wikipedia by other online or offline resources, including domain-specific ontologies or taxonomies. By making use of automated translation services and of Wikipedia in languages other than English, it makes it possible to apply BLOOMS to alignment tasks where the input ontologies are written in different languages.

Agenda: 2010 World Energy Justice Conference: Emerging Solutions For The Energy Poor: Technological, Entrepreneurial And Institutional Challenges, University Of Colorado Boulder. Center For Energy & Environmental Security, Colorado Journal Of International Environmental Law And Policy

2010 World Energy Justice Conference (November 5)

This conference is a sequel to the 2009 World Energy Justice Conference (WEJC 2009) which began examining ways of mainstreaming safe, clean, and efficient energy for the world's Energy Poor (EP). The EP number two and a half billion people living on less than $1-2 a day who have no access to modern energy services. WEJC 2010 more fully develops these themes. WEJC 2010 will explore how the next round of global warming meetings in Cancun could design new flexibility mechanisms that give credits, for example, for the reduction of black carbon by the adoption of cookstoves, and embrace small …

Is Necessity The Mother Of Innovation? The Adoption And Use Of Web Technologies Among Congressional Offices, Kevin Esterling, David Lazer, Michael Neblo

David Lazer

From first paragraph: Communication between legislator and constituents is fundamental to effective democratic representation, and devising the institutional means for citizen/legislator communication stands as one of the core and persistent problems in the practice of democracy. A legislator needs information about the preferences, ideals, norms, and beliefs of her constituents in order to do her job well. Similarly, citizens need information about the actions and decisions of their representative in order to maintain appropriate accountability. But as national problems become more complex, and as the political process grows more and more dominated by experts and organized groups, it is becoming …

How To Write A Good Paper In Computer Science And How Will It Be Measured By Isi Web Of Knowledge, Rǎzvan Andonie, Ioan Dzitac

All Faculty Scholarship for the College of the Sciences

The academic world has come to place enormous weight on bibliometric measures to assess the value of scientific publications. Our paper has two major goals. First, we discuss the limits of numerical assessment tools as applied to computer science publications. Second, we give guidelines on how to write a good paper, where to submit the manuscript, and how to deal with the reviewing process. We report our experience as editors of International Journal of Computers Communications & Control (IJCCC). We analyze two important aspects of publishing: plagiarism and peer reviewing. As an example, we discuss the promotion assessment criteria used …

A Flexible Method For Testing Independence In Two-Way Contingency Tables, Peyman Jafari, Noori Akhtar-Danesh, Zahra Bagheri

Journal of Modern Applied Statistical Methods

A flexible approach for testing association in two-way contingency tables is presented. It is simple, does not assume a specific form for the association and is applicable to tables with nominal-by-nominal, nominal-by-ordinal, and ordinal-by-ordinal classifications.

Nutrient Enrichment Enhances Hidden Differences In Phenotype To Drive A Cryptic Plant Invasion, Christine Holdredge, Mark D. Bertness, Eric Von Wettberg, Brian R. Silliman

College of Agriculture and Life Sciences Faculty Publications

Many mechanisms of invasive species success have been elucidated, but those driving cryptic invasions of non-native genotypes remain least understood. In one of the most successful cryptic plant invasions in North America, we investigate the mechanisms underlying the displacement of native Phragmites australis by its Eurasian counterpart. Since invasive Phragmites' populations have been especially prolific along eutrophic shorelines, we conducted a two-year field experiment involving native and invasive genotypes that manipulated nutrient level and competitor identity (inter- and intra-genotypic competition) to assess their relative importance in driving the loss of native Phragmites. Inter-genotypic competition suppressed aboveground biomass of both native …

The Not-So-Quiet Revolution: Cautionary Comments On The Rejection Of Hypothesis Testing In Favor Of A “Causal” Modeling Alternative, Daniel H. Robinson, Joel R. Levin

Journal of Modern Applied Statistical Methods

Rodgers (2010) recently applauded a revolution involving the increased use of statistical modeling techniques. It is argued that such use may have a downside, citing empirical evidence in educational psychology that modeling techniques are often applied in cross-sectional, correlational studies to produce unjustified causal conclusions and prescriptive statements.

Statistical And Mathematical Modeling Versus Nhst? There’S No Competition!, Joseph Lee Rodgers

Journal of Modern Applied Statistical Methods

Some of Robinson & Levin’s critique of Rodgers (2010) is cogent, helpful, and insightful – although limiting. Recent methodology has advanced through the development of structural equation modeling, multi-level modeling, missing data methods, hierarchical linear modeling, categorical data analysis, as well as the development of many dedicated and specific behavioral models. These methodological approaches are based on a revised epistemological system, and have emerged naturally, without the need for task forces, or even much self-conscious discussion. The original goal was neither to develop nor promote a modeling revolution. That has occurred; I documented its development and its status. Two organizing …

Recommended Sample Size For Conducting Exploratory Factor Analysis On Dichotomous Data, Robert H. Pearson, Daniel J. Mundform

Journal of Modern Applied Statistical Methods

Minimum sample sizes are recommended for conducting exploratory factor analysis on dichotomous data. A Monte Carlo simulation was conducted, varying the level of communalities, number of factors, variable-to-factor ratio and dichotomization threshold. Sample sizes were identified based on congruence between rotated population and sample factor loadings.

Notes On Hypothesis Testing Under A Single-Stage Design In Phase Ii Trial, Kung-Jong Lui

Journal of Modern Applied Statistical Methods

A primary objective of a phase II trial is to determine future development is warranted for a new treatment based on whether it has sufficient activity against a specified type of tumor. Limitations exist in the commonly-used hypothesis setting and the standard test procedure for a phase II trial. This study reformats the hypothesis setting to mirror the clinical decision process in practice. Under the proposed hypothesis setting, the critical points and the minimum required sample size for a desired power of finding a superior treatment at a given α -level are presented. An example is provided to illustrate how …

Effect Of Measurement Errors On The Separate And Combined Ratio And Product Estimators In Stratified Random Sampling, Housila P. Singh, Namrata Karpe

Journal of Modern Applied Statistical Methods

Separate and combined ratio, product and difference estimators are introduced for population mean μ_Y of a study variable Y using auxiliary variable X in stratified sampling when the observations are contaminated with measurement errors. The bias and mean squared error of the proposed estimators have been derived under large sample approximation and their properties are analyzed. Generalized versions of these estimators are given along with their properties.

Use Of Two Variables Having Common Mean To Improve The Bar-Lev, Bobovitch And Boukai Randomized Response Model, Oluseun Odumade, Sarjinder Singh

Journal of Modern Applied Statistical Methods

A new method to improve the randomized response model due to Bar-Lev, Bobovitch and Boukai (2004) is suggested. It has been observed that if two sensitive (or non sensitive) variables exist that are related to the main study sensitive variable, then those variables could be used to construct ratio type adjustments to the usual estimator of the population mean of a sensitive variable due to Bar-Lev, Bobovitch and Boukai (2004).The relative efficiency of the proposed estimators is studied with respect to the Bar-Lev, Bobovitch and Boukai (2004) models under different situations.

Incidence And Prevalence For A Triply Censored Data, Hilmi F. Kittani

Journal of Modern Applied Statistical Methods

The model introduced for the natural history of a progressive disease has four disease states which are expressed as a joint distribution of three survival random variables. Covariates are included in the model using Cox’s proportional hazards model with necessary assumptions needed. Effects of the covariates are estimated and tested. Formulas for incidence in the preclinical, clinical and death states are obtained, and prevalence formulas are obtained for the preclinical and clinical states. Estimates of the sojourn times in the preclinical and clinical states are obtained.

Robust Estimators In Logistic Regression: A Comparative Simulation Study, Sanizah Ahmad, Norazan Mohamed Ramli, Habshah Midi

Journal of Modern Applied Statistical Methods

The maximum likelihood estimator (MLE) is commonly used to estimate the parameters of logistic regression models due to its efficiency under a parametric model. However, evidence has shown the MLE has an unduly effect on the parameter estimates in the presence of outliers. Robust methods are put forward to rectify this problem. This article examines the performance of the MLE and four existing robust estimators under different outlier patterns, which are investigated by real data sets and Monte Carlo simulation.

A General Class Of Chain-Type Estimators In The Presence Of Non-Response Under Double Sampling Scheme, Sunil Kumar, Housila P. Singh, Sandeep Bhougal

Journal of Modern Applied Statistical Methods

General class chain ratio type estimators for estimating the population mean of a study variable are examined in the presence of non-response under a double sampling scheme using a factor-type estimator (FTE). Properties of the suggested estimators are studied and compared to those of existing estimators. An empirical study is carried out to demonstrate the performance of the suggested estimators; empirical results support the theoretical study.

Maximum Downside Semi Deviation Stochastic Programming For Portfolio Optimization Problem, Anton Abdulbasah Kamil, Khlipah Ibrahim

Journal of Modern Applied Statistical Methods

Portfolio optimization is an important research field in financial decision making. The chief character within optimization problems is the uncertainty of future returns. Probabilistic methods are used alongside optimization techniques. Markowitz (1952, 1959) introduced the concept of risk into the problem and used a mean-variance model to identify risk with the volatility (variance) of the random objective. The mean-risk optimization paradigm has since been expanded extensively both theoretically and computationally. A single stage and two stage stochastic programming model with recourse are presented for risk averse investors with the objective of minimizing the maximum downside semideviation. The models employ the …

On Bayesian Shrinkage Setup For Item Failure Data Under A Family Of Life Testing Distribution, Gyan Prakash

Journal of Modern Applied Statistical Methods

Properties of the Bayes shrinkage estimator for the parameter are studied of a family of probability density function when item failure data are available. The symmetric and asymmetric loss functions are considered for two different prior distributions. In addition, the Bayes estimates of reliability function and hazard rate are obtained and their properties are studied.

Empirical Characteristic Function Approach To Goodness Of Fit Tests For The Logistic Distribution Under Srs And Rss, M. T. Alodat, S. A. Al-Subh, Kamaruzaman Ibrahim, Abdul Aziz Jemain

Journal of Modern Applied Statistical Methods

The integral of the squares modulus of the difference between the empirical characteristic function and the characteristic function of the hypothesized distribution is used by Wong and Sim (2000) to test for goodness of fit. A weighted version of Wong and Sim (2000) under ranked set sampling, a sampling technique introduced by McIntyre (1952), is examined. Simulations that show the ranked set sampling counterpart of Wong and Sim (2000) is more powerful.