Дисертації з теми "Peer Rankings"
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Wooton, Sharyl Stasser. "DATA ENVELOPMENT ANALYSIS: A TOOL FOR SECONDARY EDUCATION RANKING AND BENCHMARKING." Oxford, Ohio : Miami University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1050604854.
Повний текст джерелаTitle from first page of PDF document. Document formatted into pages; contains iii, 36 p. Includes bibliographical references (p. 35-36).
Ozorhan, Mustafa Onur. "A Service Oriented Peer To Peer Web Service Discovery Mechanism With Categorization." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611634/index.pdf.
Повний текст джерелаFanti, Gioele. "Alcuni metodi computazionali per il problema di page ranking." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16415/.
Повний текст джерелаKim, Jinhan. "J-model : an open and social ensemble learning architecture for classification." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7672.
Повний текст джерелаSpoleti, Giovanni. "Sviluppo di metodologie per la simulazione di scambiatori di calore per motori di ultima generazione." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5448/.
Повний текст джерелаWu, Xiaohua. "Relative performance evaluation in executive compensation contracts." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/230764/1/Xiaohua_Wu_Thesis.pdf.
Повний текст джерелаAbrignani, Federico. "Cookgle, architettura a basso livello di un motore di ricerca per ricette culinarie." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Знайти повний текст джерелаFragai, Marco. "Analisi e simulazione di un ciclo Rankine organico per il recupero di energia a bassa entalpia." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10691/.
Повний текст джерелаMascioli, Marco. "Analisi di un sistema energetico per il recupero di cascami termici a medio-alta entalpia di tipo "dual-loop"." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18653/.
Повний текст джерелаPasseri, Federico. "Progettazione di un impianto orc per il recupero energetico da fumi." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9375/.
Повний текст джерелаCocconcelli, Giacomo. "Teorie per lo studio e la progettazione preliminare dei ponti sospesi." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Знайти повний текст джерелаFranke, Andreas [Verfasser], Peter [Akademischer Betreuer] Stephan, and Thomas [Akademischer Betreuer] Koch. "Thermische Rekuperation im instationären Betrieb - Ein Beitrag zur Optimierung des Clausius-Rankine-Prozesses zur Wärmerückgewinnung im Kraftfahrzeug / Andreas Franke. Betreuer: Peter Stephan ; Thomas Koch." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2016. http://d-nb.info/1112269398/34.
Повний текст джерелаKoch, Peter Michael [Verfasser]. "Thrombolysetherapie des akuten ischämischen Schlaganfalls bei Patienten mit vorbestehenden Einschränkungen der Selbständigkeit (prämorbider Wert auf der modifizierten Rankin Skala >2) / Peter Michael Koch." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2017. http://d-nb.info/1127045458/34.
Повний текст джерелаPuca, Gennaro. "Studio di modellazione termodinamica di un sistema ORC per il recupero da motori a combustione interna." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25085/.
Повний текст джерелаBouton, Laurent. "Essays in game theory applied to political and market institutions." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210325.
Повний текст джерела(i) One Person, Many Votes: Divided Majority and Information Aggregation (joint with Micael Castanheira)
In elections, majority divisions pave the way to focal manipulations and coordination failures, which can lead to the victory of the wrong candidate. This paper shows how this flaw can be addressed if voter preferences over candidates are sensitive to information. We consider two potential sources of divisions: majority voters may have similar preferences but opposite information about the candidates, or opposite preferences. We show that when information is the source of majority divisions, Approval Voting features a unique equilibrium with full information and coordination equivalence. That is, it produces the same outcome as if both information and coordination problems could be resolved. Other electoral systems, such as Plurality and Two-Round elections, do not satisfy this equivalence. The second source of division is opposite preferences. Whenever the fraction of voters with such preferences is not too large, Approval Voting still satisfies full information and coordination equivalence.
(ii) Runoff Elections and the Condorcet Loser
A crucial component of Runoff electoral systems is the threshold fraction of votes above which a candidate wins outright in the first round. I analyze the influence of this threshold on the voting equilibria in three-candidate Runoff elections. I demonstrate the existence of an Ortega Effect which may unduly favor dominated candidates and thus lead to the election of the Condorcet Loser in equilibrium. The reason is that, contrarily to commonly held beliefs, lowering the threshold for first-round victory may actually induce voters to express their preferences excessively. I also extend Duverger's Law to Runoff elections with any threshold below, equal or above 50%. Therefore, Runoff elections are plagued with inferior equilibria that induce either too high or too low expression of preferences.
(iii) On the Influence of Rankings when Product Quality Depends on Buyer Characteristics
Information on product quality is crucial for buyers to make sound choices. For "experience products", this information is not available at the time of the purchase: it is only acquired through consumption. For much experience products, there exist institutions that provide buyers with information about quality. It is commonly believed that such institutions help consumers to make better choices and are thus welfare improving.
The quality of various experience products depends on the characteristics of buyers. For instance, conversely to the quality of cars, business school quality depends on buyers (i.e. students) characteristics. Indeed, one of the main inputs of a business school is enrolled students. The choice of buyers for such products has then some features of a coordination problem: ceteris paribus, a buyer prefers to buy a product consumed by buyers with "good" characteristics. This coordination dimension leads to inefficiencies when buyers coordinate on products of lower "intrinsic" quality. When the quality of products depends on buyer characteristics, information about product quality can reinforce such a coordination problem. Indeed, even though information of high quality need not mean high intrinsic quality, rational buyers pay attention to this information because they prefer high quality products, no matter the reason of the high quality. Information about product quality may then induce buyers to coordinate on products of low intrinsic quality.
In this paper, I show that, for experience products which quality depends on the characteristics of buyers, more information is not necessarily better. More precisely, I prove that more information about product quality may lead to a Pareto deterioration, i.e. all buyers may be worse off due.
(iv) Redistributing Income under Fiscal Vertical Imbalance (joint with Marjorie Gassner and Vincenzo Verardi)
From the literature on decentralization, it appears that the fiscal vertical imbalance (i.e. the dependence of subnational governments on national government revenues to support their expenditures) is somehow inherent to multi-level governments. Using a stylized model we show that this leads to a reduction of the extent of redistributive fiscal policies if the maximal size of government has been reached. To test for this empirically, we use some high quality data from the LIS dataset on individual incomes. The results are highly significant and point in the direction of our theoretical predictions.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished
Huang, Da-Min, and 黃大珉. "Automatically Ranking Algorithm of Peer Feedback: the Method and Result Analysis." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/n5967r.
Повний текст джерела國立臺灣大學
電信工程學研究所
106
Peer assessment has been gradually implemented in education nowadays. The role of evaluating students’ performance can be not only done by teachers, but also by students themselves. With the support of modern Internet, the process of peer assessment can be done online. Students do not have to evaluate others'' work in class, and they can easily provide their feedbacks with a simple connection to an online peer assessment system. The trend has attracted many researchers'' attention and put effort in studying the effect of peer assessment on students. To improve learning performance of students in peer assessment, the quality of peer feedback is an important factor. Although there has been many methods for evaluating the peer feedback quality, the process is still being done manually, which is time consuming. There is no clear rule and standard for feedback quality so far. This research is trying to establish an algorithm called “Random Forest Automatically Ranking Algorithm” with techniques used in machine learning to help reduce time spent on calculating quality of peer feedback. This algorithm automatically determines rank of some peer feedback relative to other peed feedback, which means it grades every peer feedback with its quality relative to others’ quality. This research uses peer feedback data collected from course to get quantified quality of peer feedback and add new rules to method for evaluating the peer feedback quality to get more objective quality of peer feedback. We use processed peer feedback data as train data for generating predict model of this algorithm to automatically rank peer feedback. Furthermore, it is confirmed by experimental data that Random Forest Automatically Ranking Algorithm can also be applied to open comments on the internet to predict rank of comments given by online users.
Meho, Lokman I., and Diane H. Sonnenwald. "Citation Ranking Versus Peer Evaluation of Senior Faculty Research Performance: A Case Study of Kurdish Scholarship." 2000. http://hdl.handle.net/10150/105450.
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