subject:(Indifference zone)

1. Bergmark, Kristina. Stjärnornas krig : kampen om it-kompetensen fortsätter.

Degree: Sociology, 2013, Uppsala University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200909

► Sammanfattning Titel: Stjärnornas krig – kampen om IT-kompetensen fortsätter Författare: Kristina Bergmark och Elias Öman Handledare: Agneta Hugemark Lärosäte: Uppsala Universitet Datum: 2013-06-04 Syfte: Uppsatsens… (more)

Subjects/Keywords: Sociologi; zone of indifference; kollektiva resurser; IT; krav; makt

…medlemskap i en organisation samt det teoretiska begreppet zone of indifference. Avslutningsvis… …medlemskap och zone of indifference Ahrne (1999) resonerar om ett antal… …sid 15) Ahrne använder sig av Chester Barnards uttryck ”zone of indifference” för att… …förklarar att zone of indifference beskriver den zon inom vilken den anställde givit upp… …endast kan handla inom sin zone of indifference och därmed endast i begränsad utsträckning…

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APA (6^th Edition):

Bergmark, K. (2013). Stjärnornas krig : kampen om it-kompetensen fortsätter. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200909

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bergmark, Kristina. “Stjärnornas krig : kampen om it-kompetensen fortsätter.” 2013. Thesis, Uppsala University. Accessed January 15, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200909.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bergmark, Kristina. “Stjärnornas krig : kampen om it-kompetensen fortsätter.” 2013. Web. 15 Jan 2021.

Vancouver:

Bergmark K. Stjärnornas krig : kampen om it-kompetensen fortsätter. [Internet] [Thesis]. Uppsala University; 2013. [cited 2021 Jan 15]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200909.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bergmark K. Stjärnornas krig : kampen om it-kompetensen fortsätter. [Thesis]. Uppsala University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200909

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

2. Huang, Shijie. Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation.

Degree: PhD, Industrial and Systems Engineering, 2016, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297

► In the United States, voting is one of the most fundamental rights protected by the federal law. However, there is a growing concern over voter… (more)

▼ In the United States, voting is one of the most fundamental rights protected by the federal law. However, there is a growing concern over voter disenfranchisement and system inequity caused by long waiting lines. Studies have found that inappropriate voting resource allocation has deterred hundreds of thousands of U.S. citizens from voting. This research proposes an analytic framework to quantify the number of deterred voters and assess the resulting political consequences. We apply this framework to the 2012 Sandoval County General Election in New Mexico to study whether electoral outcomes were altered by “effective disenfranchisement” for a few closely contested offices. Furthermore, Indifference-Zone Generalized Binary Search (IZGBS) is developed to determine the minimum sets of resources needed to satisfy a given service level for elections with one or multiple bottleneck resources. What makes the problem challenging is the service level generally needs to be evaluated using discrete event simulations, which is slow and noisy. For example, there are no analytical methods to estimate the waiting time of the 99th percentile voter. Thus, simulation-based ranking and selection (R&S), also known as design and analysis of R&S experiments, are preferred than stochastic integer programming methods in this type of problems. The proposed approach incorporates constrained R&S with Generalized Binary Search (GBS) to provide computationally efficient and rigorous solutions. It also explores the intuitive monotone assumption that adding resources cannot harm average performance for relevant Discrete Event Simulation (DES) models, which has received little attention in the simulation literature previously.The method is based on the assumption of normal populations (but not requiring equal variances). Therefore, special attention is given to quantile-related outputs that are associated with asymptotically normal estimates. The asymptote is in the number of simulated voters on Election Day, which is often over one thousand. Later, IZGBS is applied to the Franklin County of Ohio and Sandoval County of New Mexico to establish the resource requirement so that voters can expect to wait less than thirty minutes. Several topics are suggested for future research, including building on IZGBS to provide optimization solutions for more general problems. Advisors/Committee Members: Allen, Theodore (Advisor).

Subjects/Keywords: Industrial Engineering; Operations Research; Multiple Comparisons; Comparison with a Standard; Ranking and Selection; Indifference-zone; Generalized Binary Search; Simulation-based Optimization; Quantile Estimator; Election; Voting System; Equity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huang, S. (2016). Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297

Chicago Manual of Style (16^th Edition):

Huang, Shijie. “Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation.” 2016. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297.

MLA Handbook (7^th Edition):

Huang, Shijie. “Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation.” 2016. Web. 15 Jan 2021.

Vancouver:

Huang S. Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297.

Council of Science Editors:

Huang S. Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297

3. Tollefson, Eric Sander. Optimal randomized and non-randomized procedures for multinomial selection problems.

Degree: PhD, Industrial and Systems Engineering, 2012, Georgia Tech

URL: http://hdl.handle.net/1853/43629

► Multinomial selection problem procedures are ranking and selection techniques that aim to select the best (most probable) alternative based upon a sequence of multinomial observations.… (more)

▼ Multinomial selection problem procedures are ranking and selection techniques that aim to select the best (most probable) alternative based upon a sequence of multinomial observations. The classical formulation of the procedure design problem is to find a decision rule for terminating sampling. The decision rule should minimize the expected number of observations taken while achieving a specified indifference zone requirement on the prior probability of making a correct selection when the alternative configurations are in a particular subset of the probability space called the preference zone. We study the constrained version of the design problem in which there is a given maximum number of allowed observations. Numerous procedures have been proposed over the past 50 years, all of them suboptimal. In this thesis, we find via linear programming the optimal selection procedure for any given probability configuration. The optimal procedure turns out to be necessarily randomized in many cases. We also find via mixed integer programming the optimal non-randomized procedure. We demonstrate the performance of the methodology on a number of examples. We then reformulate the mathematical programs to make them more efficient to implement, thereby significantly expanding the range of computationally feasible problems. We prove that there exists an optimal policy which has at most one randomized decision point and we develop a procedure for finding such a policy. We also extend our formulation to replicate existing procedures. Next, we show that there is very little difference between the relative performances of the optimal randomized and non-randomized procedures. Additionally, we compare existing procedures using the optimal procedure as a benchmark, and produce updated tables for a number of those procedures. Then, we develop a methodology that guarantees the optimal randomized and non-randomized procedures for a broad class of variable observation cost functions – the first of its kind. We examine procedure performance under a variety of cost functions, demonstrating that incorrect assumptions regarding marginal observation costs may lead to increased total costs. Finally, we investigate and challenge key assumptions concerning the indifference zone parameter and the conditional probability of correct selection, revealing some interesting implications. Advisors/Committee Members: Goldsman, David (Committee Co-Chair), Tovey, Craig (Committee Co-Chair), Alexopoulos, Christos (Committee Member), Kleywegt, Anton (Committee Member), Sanchez, Susan (Committee Member).

Subjects/Keywords: Multinomial selection; Ranking and selection; Indifference zone; Linear program; Mixed integer program; Sampling costs; Ranking and selection (Statistics); Linear programming; Mathematical optimization

…IZ indifference zone k number of alternatives LFC least favorable configuration LP… …cost through observation b θi ratio p1 /pi θ relative ratio indifference zone parameter… …achieving a specified indifference zone requirement on the prior probability of making a correct… …particular, we show how the choice of the indifference zone parameter affects the size of the… …of an “acceptable selection” for alternatives in the indifference zone and discuss some…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tollefson, E. S. (2012). Optimal randomized and non-randomized procedures for multinomial selection problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43629

Chicago Manual of Style (16^th Edition):

Tollefson, Eric Sander. “Optimal randomized and non-randomized procedures for multinomial selection problems.” 2012. Doctoral Dissertation, Georgia Tech. Accessed January 15, 2021. http://hdl.handle.net/1853/43629.

MLA Handbook (7^th Edition):

Tollefson, Eric Sander. “Optimal randomized and non-randomized procedures for multinomial selection problems.” 2012. Web. 15 Jan 2021.

Vancouver:

Tollefson ES. Optimal randomized and non-randomized procedures for multinomial selection problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/1853/43629.

Council of Science Editors:

Tollefson ES. Optimal randomized and non-randomized procedures for multinomial selection problems. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43629

4. Wang, Rui. Generalizing Multistage Partition Procedures for Two-parameter Exponential Populations.

Degree: PhD, Mathematics, 2018, University of New Orleans

URL: https://scholarworks.uno.edu/td/2510

► ANOVA analysis is a classic tool for multiple comparisons and has been widely used in numerous disciplines due to its simplicity and convenience. The… (more)

Subjects/Keywords: Two-parameter Exponential Distribution; Sequential Procedure; Probability of Correct Decision; Indifference Zone; Monte Carlo Simulation; Applied Statistics; Probability; Statistical Methodology; Statistical Models

…Decision; Monte Carlo Simulation viii Sequential Procedure; Indifference Zone; 1 Introduction… …Indifference Zone Approach Next, Bechhofer’s (1954)indifference zone approach is… …called the indifference zone in the sense that the experimenter is not willing to pick the best… …indifference in the parameter space ΩC (δ ∗ ). Because for the indifference zone ΩC (δ… …problem under the setting of Indifference-Zone from Bechhofer. Mukhopadhyay, N. and Solanky…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, R. (2018). Generalizing Multistage Partition Procedures for Two-parameter Exponential Populations. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2510

Chicago Manual of Style (16^th Edition):

Wang, Rui. “Generalizing Multistage Partition Procedures for Two-parameter Exponential Populations.” 2018. Doctoral Dissertation, University of New Orleans. Accessed January 15, 2021. https://scholarworks.uno.edu/td/2510.

MLA Handbook (7^th Edition):

Wang, Rui. “Generalizing Multistage Partition Procedures for Two-parameter Exponential Populations.” 2018. Web. 15 Jan 2021.

Vancouver:

Wang R. Generalizing Multistage Partition Procedures for Two-parameter Exponential Populations. [Internet] [Doctoral dissertation]. University of New Orleans; 2018. [cited 2021 Jan 15]. Available from: https://scholarworks.uno.edu/td/2510.

Council of Science Editors:

Wang R. Generalizing Multistage Partition Procedures for Two-parameter Exponential Populations. [Doctoral Dissertation]. University of New Orleans; 2018. Available from: https://scholarworks.uno.edu/td/2510

Queensland University of Technology

5. Haynes, Michele Ann. Flexible distributions and statistical models in ranking and selection procedures with applications.

Degree: 1998, Queensland University of Technology

URL: http://eprints.qut.edu.au/36977/

Subjects/Keywords: Ranking and selection (Statistics); ranking and selection; probability of correct selection; indifference zone; subset selection; multiple comparisons; generalised g-and-k distributions; robustness; sensitivity analysis; control chart; control limits; fequentist; MCMC; meta-analysis; fixed-effects model; Bayesian hierarchical model; mixture model; model comparison; L2 distributional distance; thesis; doctoral

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Haynes, M. A. (1998). Flexible distributions and statistical models in ranking and selection procedures with applications. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/36977/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Haynes, Michele Ann. “Flexible distributions and statistical models in ranking and selection procedures with applications.” 1998. Thesis, Queensland University of Technology. Accessed January 15, 2021. http://eprints.qut.edu.au/36977/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Haynes, Michele Ann. “Flexible distributions and statistical models in ranking and selection procedures with applications.” 1998. Web. 15 Jan 2021.

Vancouver:

Haynes MA. Flexible distributions and statistical models in ranking and selection procedures with applications. [Internet] [Thesis]. Queensland University of Technology; 1998. [cited 2021 Jan 15]. Available from: http://eprints.qut.edu.au/36977/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haynes MA. Flexible distributions and statistical models in ranking and selection procedures with applications. [Thesis]. Queensland University of Technology; 1998. Available from: http://eprints.qut.edu.au/36977/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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