269 research outputs found
Editorial: The First Rothkopf Rankings of Nonacademic Organizations
No full textInterfaces, 42:6, 585-590.The article of record as published may be found at http://dx.doi.org/10.1287/inte.1120.0649This paper presents the first rankings of nonacademic organizations according to their contributions to the
INFORMS practice literature. Two rankings are given, each based on a different metric: visibility is the number
of authors who list an organization as their primary affiliation; yield is the equivalent number of INFORMS
practice papers attributable to each organization based on author primary affiliation. For the visibility rankings,
IBM comes in first place, followed by Hewlett-Packard in second, the US Government in third, and General
Electric in fourth place. These are followed by Sasol, Procter & Gamble, and Merrill Lynch. For the yield
rankings, the US Government comes in first place, followed by General Electric and IBM tied for second, and
Hewlett-Packard in fourth place. They are followed by Intel in fifth, Procter & Gamble in sixth, and Merrill
Lynch in seventh place
Editorial: The Ninth Rothkopf Rankings of Universities' Contributions to the "INFORMS Practice Literature"
No full textInterfaces, 41, 590-598.The article of record as published may be found at http://dx.doi.org/10.1287/inte.1110.0602Continuing the work begun by Michael H. Rothkopf in 1996, this paper presents the ninth ranking of universities
according to their contributions to the INFORMS practice literature. Two rankings are given, each based on a
different metric: visibility is the number of times a university is listed as the primary academic affiliation in
the INFORMS practice literature; yield is the equivalent number of INFORMS practice papers attributable to
each university based on author primary academic affiliation. As with the Eighth Rothkopf Rankings for US
universities, the Naval Postgraduate School earns the top ranking for visibility and second for yield, whereas
the Colorado School of Mines earns the top ranking for yield and second for visibility; for non-US universities,
the University of Chile earns the top ranking for both visibility and yield
Editorial: The Eighth Rothkopf Rankings of Universities' Contributions to the INFORMS Practice Literature
No full textInterfaces, 39, 533-539.The article of record as published may be located at http://dx.doi.org/10.1287/inte.1090.0458Continuing and expanding on the original work that Michael H. Rothkopf established in 1996, this paper
presents the eighth ranking of universities according to their contributions to the INFORMS practice literature.
Fittingly, we have named them the “Rothkopf Rankings” in honor of their originator, a scholar and practitioner
with a passion for applied, effective, and influential operations research. The rankings assigned are based on two
metrics: one measures visibility (the number of times a university is listed as the primary academic affiliation in
the INFORMS practice literature), and the second measures yield (the equivalent number of INFORMS practice
papers attributable to each university based on author primary academic affiliation). For US universities, the
Naval Postgraduate School earns the top ranking for visibility and the second for yield, and the Colorado School
of Mines earns the top ranking for yield and the second for visibility. For non-US universities, the University
of Chile earns the top ranking for both visibility and yield
Analysis of promotion rates to lieutenant colonel and selection for command for USMC Aviation Supply and Maintenance Officers
No full textThe purpose of this thesis was to identify those statistically significant variables associated with promotion to lieutenant colonel and selection for command of a Marine Aviation Logistics Squadron (MALS) or Center for Naval Aviation Technical Training Marine Unit for Aviation Maintenance Officers (AMOs) and Aviation Supply Officers (AVNSUPOs). A data set was constructed for the 102 in-zone AMOs and AVNSUPOs competing for promotion, consisting of demographic and Fitness Report (FITREP) data for each officer covering Fiscal Years 2004-2012. Utilizing logistic regression, the findings concluded that serving as a MALS Executive Officer (XO), receiving a Meritorious Service Medal, and scoring above the Reviewing Officers' (RO) average scores improve one's probability for selection. Serving in combat was not a significant factor for promotion. Because information on command selection was not available from Marine Corps Officer Assignments Plans and Programs, it was not possible to model for command selection. Instead, the following descriptive statistics provide insight on the type of officer selected to command. Forty percent have served as Operations Officers. Forty-three percent served as XOs. Fifty-one percent of the officers scored above their ROs' average markings. Only 37% have at least one combat FITREP as a major.US Marina Corps (USMC) authorhttp://archive.org/details/analysisofpromot109451061
Sampling Methods for Web and E-mail Surveys
No full textThis chapter is a comprehensive overview of sampling methods for web and e-mail (‘Internetbased’) surveys. It reviews the various types of sampling method – both probability and nonprobability – and examines their applicability to Internet-based surveys. Issues related to Internetbased survey sampling are discussed, including difficulties assembling sampling frames for probability sampling, coverage issues, and nonresponse and selection bias. The implications of the various survey mode choices on statistical inference and analyses are summarized.Published versionBecause the author was a US Government employee at the time of publication, the publisher does not hold the copyright
Dudley Knox Library Survey of Distance Learning Students
No full textTwo files: Report and presentation (with findings and background data).How can the Naval Postgraduate School's (NPS) Dudley Knox Library (DKL) better serve the needs of distance learning students? The Fall 2011 NPS Survey Research Methods class (OA4109) devised, conducted and analyzed results of a survey of distance learning students on behalf of DKL. The study succeeded in meeting three objectives: 1) Evaluate the need for library services; 2) Determine if needs vary among various distance learning curricula; and 3) Solicit feedback on the usability of the DKL website
Predictors of retention in a homeless veteran intervention program
No full textOutstanding ThesisThis study assessed the value of a specific set of client variables in predicting treatment phase retention and overall program completion of an intervention treatment program for homeless veterans. Treatment programs can improve the lives of homeless individuals, but many participants leave prematurely. Certain characteristics, which are evident upon admission, may help to identify those veterans at greater risk of early discharge and program failure. Spanning three years (20092011), the records of 680 unique clients from a homeless veterans program were reviewed. Logistic regression models yielded significant association between treatment completion, graduation, and certain observable client characteristics. Ultimately, information regarding a clients mental health, chronic health, and the clients immediate prior residence before admission to the Veteran Rehabilitation Center program proved to be significant independent predictors of premature discharge from treatment. From the significant covariates for the treatment model, a simple, scoring-scheme heuristic was developed to enable treatment providers to expeditiously and accurately assess relative risk of premature discharge among a cohort of veteran clients. Using demographic information from three simple questions, the scoring scheme has a 98.3% correlation to the theoretical probability of failure from treatment and gives providers a simple and accurate way to identify those at greater risk of early exit. These results can inform targeted intervention strategies to maximize program effectiveness and efficiency. They provide a decision support tool to help high-risk veterans remain engaged in treatment, attain treatment goals, graduate, and fully prepare them to reintegrate into a sober, self-sustaining lifestyle.Approved for public release; distribution is unlimited.Outstanding ThesisMajor, United States Marine Corpshttp://archive.org/details/predictorsofrete109452781
The 10th Rothkopf Rankings of Universities' Contributions to the INFORMS Practice Literature (Editorial)
No full textInterfacesThis paper presents the 10th ranking of universities according to their contributions to the INFORMS practice literature. Two rankings are given, each based on a different metric: visibility is the number of times a university is listed as the primary academic affiliation in the INFORMS practice literature; yield is the equivalent number of INFORMS practice papers attributable to each university based on author
primary academic affiliation. For US universities, Georgia Institute of Technology ranks first in visibility, followed by the Naval Postgraduate School in second, and the Colorado School of Mines in third, while for yield the Naval Postgraduate School ranks first, followed by the Colorado School of Mines in second,
and Georgia Institute of Technology third. For non-US universities, the University of Chile ranks first and the University of Toronto ranks second for both visibility and yield, while the Norwegian University of Science and Technology is third for visibility and Cass Business School is third for yield
International Journal of Quality Engineering and Technology
No full textI describe a methodology for optimizing n Shewhart x-charts operating on parallel production lines in a factory. The goal is to maximize the factory-wide probability of detecting an out-of-control condition subject to a constraint on the expected number of false signals. I use non-linear programming to appropriately set the x-charts’ control limits incorporating information about the probability of each production line going out-of-control. Using this approach, factories can set their quality control systems to optimally detect out-of-control conditions. Given some distributional assumptions, I also present a one-dimensional optimization methodology that allows for the efficient optimization of very large factories.Published versionBecause the author was a US Government employee at the time of publication, the publisher does not hold the copyright
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