• NSF 2017 Annual Report for EAGER: Open XD Metrics on Demand Value Analytics 

  Link, Matthew R.; Borner, Katy; Furlani, Thomas; Gallo, Steven; Henschel, Robert; DeLeon, Robert; Fulton, Ben; Yearke, Tom (2017-04-02)
• Performance Benchmarking of the R Programming Environment on the Stampede 2 Supercomputer 

  McCombs, James R.; Michael, Scott A. (2017-02-28)
• White Paper: Lustre WAN over 100Gbps 

  Thota, Abhinav; Henschel, Robert; Simms, Stephen (2016-02)

  This work is an international collaboration with Rheinisch-Westfälische Technische Hochschule Aachen, Germany (RWTH) and the Center of Information Services and High Performance Computing (ZIH) at Technische Universität ...
• IU PTI/UITS Research Technologies Annual Report: FY 2014 

  Stewart, Craig A., Miller, Therese (2015-11-10)

  This Fiscal Year 2014 (FY2014) report outlines IU community accomplishments using IU's cyberinfrastructure, as they relate to several IU Bicentennial Strategic Plan goals and ongoing principles of excellence. The report ...
• Use of IU parallel computing resources and high performance file systems July 2013 to Dec 2014 

  Link, Matthew R.; Henschel, Robert; Hancock, David Y.; Stewart, Craig A. (2015-08-13)

  The paper discusses the contributions of Big Red II and Data Capacitor II and their impact on IU's research and creative output.
• Use of IU advanced computational systems – parallelism, job mixes, and queue wait times 

  Link, Matthew R.; Henschel, Robert; Hancock, David Y.; Stewart, Craig A. (2015-08-12)

  The report presents updated information on usage of Big Red II and Karst for the first half of FY 2015.
• Results of 2013 Survey of Parallel Computing Needs Focusing on NSF-funded Researchers 

  Stewart, Craig A.; Arenson, Andrew; Fischer, Jeremy; Link, Matthew R.; Michael, Scott A.; Wernert, Julie A (2015-05-14)

  The field of supercomputing is experiencing a rapid change in system structure, programming models, and software environments in response to advances in application requirements and in underlying enabling technologies. ...
• Univariate Analysis and Normality Test Using SAS, Stata, and SPSS 

  Park, Hun Myoung

  Descriptive statistics provide important information about variables to be analyzed. Mean, median, and mode measure central tendency of a variable. Measures of dispersion include variance, standard deviation, range, and ...
• Regression Models for Ordinal and Nominal Dependent Variables Using SAS, Stata, LIMDEP, and SPSS 

  Park, Hun Myoung

  A categorical variable here refers to a variable that is binary, ordinal, or nominal. Event count data are discrete (categorical) but often treated as continuous variables. When a dependent variable is categorical, the ...
• Regression Models for Binary Dependent Variables Using Stata, SAS, R, LIMDEP, and SPSS 

  Park, Hun Myoung

  A categorical variable here refers to a variable that is binary, ordinal, or nominal. Event count data are discrete (categorical) but often treated as continuous variables. When a dependent variable is categorical, the ...
• Linear Regression Models for Panel Data Using SAS, Stata, LIMDEP, and SPSS 

  Park, Hun Myoung

  Panel (or longitudinal) data are cross-sectional and time-series. There are multiple entities, each of which has repeated measurements at different time periods. U.S. Census Bureau’s Census 2000 data at the state or county ...
• Hypothesis Testing and Statistical Power of a Test 

  Park, Hun Myoung

  How powerful is my study (test)? How many observations do I need to have for what I want to get from the study? You may want to know statistical power of a test to detect a meaningful effect, given sample size, test size ...
• Estimating Multilevel Models using SPSS, Stata, SAS and R 

  Albright, Jeremy J.; Marinova, Dani M.

  Multilevel data are pervasive in the social sciences. Students may be nested within schools, voters within districts, or workers within firms, to name a few examples. Statistical methods that explicitly take into account ...
• Confirmatory Factor Analysis using Amos, LISREL, Mplus, SAS/STAT CALIS 

  Albright, Jeremy J.; Park, Hun Myoung (2009)

  Factor analysis is a statistical method used to find a small set of unobserved variables (also called latent variables, or factors) which can account for the covariance among a larger set of observed variables (also called ...
• Comparing Group Means: T-tests and One-way ANOVA Using Stata, SAS, R, and SPSS 

  Park, Hun Myoung (2009)

  T-tests and analysis of variance (ANOVA) are widely used statistical methods to compare group means. For example, the independent sample t-test enables you to compare annual personal income between rural and urban areas ...
• ACCI Recommendations on Long Term Cyberinfrastructure Issues: Building Future Development 

  Fischer, J.L. (2014-09)
• Storage Briefing: Trends and IU 

  Floyd, Mike J.; Seiffert, Kurt; Stewart, Craig A.; Turner, George; Cromwell, Dennis; Hancock, Dave; Kallback-Rose, Kristy; Link, Matthew R.; Simms, Steve; Williams, Troy (2013-08)

  Storage technology is in a period of accelerating change. Rapid developments in flash memory and cloud services are the most visible indicators. Uses of storage face growing regulatory and funding agency compliance, and ...
• Economic development by the Indiana University Pervasive Technology Institute, Pervasive Technology Labs, and the Research Technologies Division of University Information Technology Services during FY 2013/2014 

  Miller, Therese; Stewart, Craig A.
• IndianaMap Cadastral Cloud Implementation 

  Bodenhamer, David J (2013-09)

  The purpose of this project is to evaluate the technical issues, opportunities, and costs associated with deployment and geoprocessing of IndianaMap Cadastral data in Amazon Cloud Platforms.
• Services and Support for the IU School of Medicine and Other Clinical Affairs Schools Provided by the Research Technologies Division of UITS and the Advanced Biomedical Information Technology Core in FY 2013 – Condensed Version 

  Stewart, C. A.; Barnett, W. K.; Link, M. R.; Shankar, G.; Miller, T.; Michael, S.; Henschel, R.; Boyles, M. J.; Wernert, E.; Quick, R. (2014-04)

  This is a condensed version of a longer report at http://hdl.handle.net/2022/17216 and presents information on services delivered in FY 2013 by ABITC and RT to the IU School of Medicine and the other Clinical Affairs schools ...

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