Relevant bibliographies by topics / Selection Criterion

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Selection Criterion'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Selection Criterion"

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Rahman, M. S., and Maxwell L. King. "Improved model selection criterion." Communications in Algebra 28, no. 1 (1999): 51–71. http://dx.doi.org/10.1080/00927879908826827.

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Rahman, M. S., and Maxwell L. King. "Improved model selection criterion." Communications in Statistics - Simulation and Computation 28, no. 1 (January 1999): 51–71. http://dx.doi.org/10.1080/03610919908813535.

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Kritikaa, Sr. "Ayurvedic Medical Destination - Selection Criterion Preference of Coimbatore City." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 1120–23. http://dx.doi.org/10.31142/ijtsrd23176.

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Das Gupta, Ujjwal. "Parameter Selection for EM Clustering Using Information Criterion and PDDP." International Journal of Engineering and Technology 2, no. 4 (2010): 340–44. http://dx.doi.org/10.7763/ijet.2010.v2.144.

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McQuarrie, Allan, Robert Shumway, and Chih-Ling Tsai. "The model selection criterion AICu." Statistics & Probability Letters 34, no. 3 (June 1997): 285–92. http://dx.doi.org/10.1016/s0167-7152(96)00192-7.

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Tseng, Chih-Yuan. "Entropic criterion for model selection." Physica A: Statistical Mechanics and its Applications 370, no. 2 (October 2006): 530–38. http://dx.doi.org/10.1016/j.physa.2006.03.024.

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Spinks, Nelda, and Barron Wells. "Readability: A Textbook Selection Criterion." Journal of Education for Business 69, no. 2 (December 1993): 83–87. http://dx.doi.org/10.1080/08832323.1993.10117662.

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Ural, Hasan, and Bo Yang. "A structural test selection criterion." Information Processing Letters 28, no. 3 (July 1988): 157–63. http://dx.doi.org/10.1016/0020-0190(88)90162-7.

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Maity, Arnab Kumar, Sanjib Basu, and Santu Ghosh. "Bayesian criterion‐based variable selection." Journal of the Royal Statistical Society: Series C (Applied Statistics) 70, no. 4 (April 27, 2021): 835–57. http://dx.doi.org/10.1111/rssc.12488.

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Steuer, Ralph E., Maximilian Wimmer, and Markus Hirschberger. "Overviewing the transition of Markowitz bi-criterion portfolio selection to tri-criterion portfolio selection." Journal of Business Economics 83, no. 1 (January 19, 2013): 61–85. http://dx.doi.org/10.1007/s11573-012-0642-4.

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Dissertations / Theses on the topic "Selection Criterion"

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Arledge, Christopher S. "Cosmological Model Selection and Akaike’s Criterion." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1430478203.

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Coleman, Kimberley. "A new capture-recapture model selection criterion /." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101841.

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Capture-recapture methods are used to estimate population size from overlapping, incomplete sources of information. With three or more sources, dependence between sources may be modelled using log-linear models. We propose a Coefficient of Incremental Dependence Criterion (CIDC) for selecting an estimate of population size among all possible estimates that result from hierarchical log-linear models. A penalty for the number of parameters in the model was selected via simulation for the three-source and four-source settings. The performance of the proposed criterion was compared to the Akaike Information Criterion (AIC) through simulation. The CIDC was found to modestly outperform the AIC for data generated from a population size of approximately 100, with AIC performing consistently better for larger population sizes. Modifications to the criterion such as incorporating the estimated population size and the type of source interaction present should be investigated, along with the mathematical properties of the CIDC.
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Wikström, Christina. "Criterion-referenced measurement for educational evaluation and selection." Doctoral thesis, Umeå universitet, Beteendevetenskapliga mätningar, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-492.

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In recent years, Sweden has adopted a criterion-referenced grading system, where the grade outcome is used for several purposes, but foremost for educational evaluation on student- and school levels as well as for selection to higher education. This thesis investigates the consequences of using criterion-referenced measurement for both educational evaluation and selection purposes. The thesis comprises an introduction and four papers that empirically investigate school grades and grading practices in Swedish upper secondary schools. The first paper investigates the effect of school competition on the school grades. The analysis focuses on how students in schools with and without competition are ranked, based on their grades and SweSAT scores. The results show that schools that are exposed to competition tend to grade their students higher than other schools. This effect is found to be related to the use of grades as quality indicators for the schools, which means that schools that compete for their students tend to be more lenient, hence inflating the grades. The second paper investigates grade averages over a six-year period, starting with the first cohort who graduated from upper secondary school with a GPA based on criterion-referenced grades. The results show that grades have increased every year since the new grading system was introduced, which cannot be explained by improved performances, selection effects or strategic course choices. The conclusion is that the increasing pressure for high grading has led to grade inflation over time. The third paper investigates if grading practices are related to school size. The study is based on a similar model as paper I, but with data from graduates over a six-year period, and with school size as the main focus. The results show small but significant size effects, suggesting that the smallest schools (<300 students) are higher grading than other schools, and that the largest schools (>1000 students) are lower grading than other schools. This is assumed to be an effect of varying assessment practices, in combination with external and internal pressure for high grading. The fourth and final paper investigates if grading practices differ among upper secondary programmes, and how the course compositions in the programmes affect how students are ranked in the process of selection to higher education. The results show that students in vocationally oriented programmes are higher graded than other students, and also favoured by their programmes’ course compositions, which have a positive effect on their competitive strength in the selection to higher education. In the introductory part of the thesis, these results are discussed from the perspective of a theoretical framework, with special attention to validity issues in a broad perspective. The conclusion is that the criterion-referenced grades, both in terms of being used for educational evaluation, and as an instrument for selection to higher education, are wanting both in reliability and in validity. This is related to the conflicting purposes of the instruments, in combination with few control mechanisms, which affects how grades are interpreted and used, hence leading to consequences for students, schools and society in general.
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Fanai, Nick. "Reversibility as a sustainability criterion for project selection." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq23297.pdf.

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Wikström, Christina. "Criterion-referenced measurement for educational evaluation and selection /." Umeå : Department of Educational Measurement, Umeå University, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-492.

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Atutey, Olivia Abena. "Linear Mixed Model Selection via Minimum Approximated Information Criterion." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966.

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Lin, Hui-Fen. "A Comparison of Three Item Selection Methods in Criterion-Referenced Tests." Thesis, University of North Texas, 1988. https://digital.library.unt.edu/ark:/67531/metadc332327/.

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This study compared three methods of selecting the best discriminating test items and the resultant test reliability of mastery/nonmastery classifications. These three methods were (a) the agreement approach, (b) the phi coefficient approach, and (c) the random selection approach. Test responses from 1,836 students on a 50-item physical science test were used, from which 90 distinct data sets were generated for analysis. These 90 data sets contained 10 replications of the combination of three different sample sizes (75, 150, and 300) and three different numbers of test items (15, 25, and 35). The results of this study indicated that the agreement approach was an appropriate method to be used for selecting criterion-referenced test items at the classroom level, while the phi coefficient approach was an appropriate method to be used at the district and/or state levels. The random selection method did not have similar characteristics in selecting test items and produced the lowest reliabilities, when compared with the agreement and the phi coefficient approaches.
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Levine, Anne B. "The Structured Employment Interview: An Examination of Construct and Criterion Validity." The University of Waikato, 2006. http://hdl.handle.net/10289/2288.

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This study extends the literature on interview validity by attempting to create a structured employment interview with both construct- and criterion-related validity. For this study, a situational interview was developed with the specific purpose of enhancing the interview's construct validity while retaining the interview's predictive power. To enhance the construct validity, two guidelines were applied to the creation of the interview based on previous research in interview and assessment center literature limit the number of applicant characteristics to be rated to 3; and (2) ensure that the dimensions to be measured are conceptually distinct. Based on these two guidelines, three constructs were chosen for assessment of real estate sales agents extraversion, proactive personality and customer orientation. The critical incident technique was used to develop six interview items. To test the construct validity of the interview, the six items were correlated with other measures, specifically, self-report questionnaires and managers' ratings, of extraversion, proactivity and customer orientation. Correlations were weak, at best (rs ranged from -.06 to .25). To test the predictive validity of the interview, the six items were correlated with both objective and subjective measures of performance. Predictive validities were stronger, ranging from .23 to .30. These findings are consistent with previous research on employment interviews which have found that although the predictive validity of the interview is strong, the construct validity is very weak, leaving researchers to wonder what it is that the interview is actually measuring. Possible explanations for these findings are offered, and the implications of these findings are discussed.
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TAKAGI, HIROSHI, AKIRA ORIHARA, KAZUHARU UCHIDA, ITSUO YOKOYAMA, and TAKAAKI KOBAYASHI. "HLA-DRB1 Matching As A Recipient Selection Criterion in Cadaveric Renal Transplantation." Thesis, Lippincott Williams & Wilkins, 1993. http://hdl.handle.net/2237/19377.

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MONTEIRO, ANDRE MONTEIRO DALMEIDA. "NON-PARAMETRIC ESTIMATIONS OF INTEREST RATE CURVES : MODEL SELECTION CRITERION: MODEL SELECTION CRITERIONPERFORMANCE DETERMINANT FACTORS AND BID-ASK S." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2684@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
Esta tese investiga a estimação de curvas de juros sob o ponto de vista de métodos não-paramétricos. O texto está dividido em dois blocos. O primeiro investiga a questão do critério utilizado para selecionar o método de melhor desempenho na tarefa de interpolar a curva de juros brasileira em uma dada amostra. Foi proposto um critério de seleção de método baseado em estratégias de re-amostragem do tipo leave-k-out cross validation, onde K k £ £ 1 e K é função do número de contratos observados a cada curva da amostra. Especificidades do problema reduzem o esforço computacional requerido, tornando o critério factível. A amostra tem freqüência diária: janeiro de 1997 a fevereiro de 2001. O critério proposto apontou o spline cúbico natural -utilizado com método de ajuste perfeito aos dados - como o método de melhor desempenho. Considerando a precisão de negociação, este spline mostrou-se não viesado. A análise quantitativa de seu desempenho identificou, contudo, heterocedasticidades nos erros simulados. A partir da especificação da variância condicional destes erros e de algumas hipóteses, foi proposto um esquema de intervalo de segurança para a estimação de taxas de juros pelo spline cúbico natural, empregado como método de ajuste perfeito aos dados. O backtest sugere que o esquema proposto é consistente, acomodando bem as hipóteses e aproximações envolvidas. O segundo bloco investiga a estimação da curva de juros norte-americana construída a partir dos contratos de swaps de taxas de juros dólar-Libor pela Máquina de Vetores Suporte (MVS), parte do corpo da Teoria do Aprendizado Estatístico. A pesquisa em MVS tem obtido importantes avanços teóricos, embora ainda sejam escassas as implementações em problemas reais de regressão. A MVS possui características atrativas para a modelagem de curva de juros: é capaz de introduzir já na estimação informações a priori sobre o formato da curva e sobre aspectos da formação das taxas e liquidez de cada um dos contratos a partir dos quais ela é construída. Estas últimas são quantificadas pelo bid-ask spread (BAS) de cada contrato. A formulação básica da MVS é alterada para assimilar diferentes valores do BAS sem que as propriedades dela sejam perdidas. É dada especial atenção ao levantamento de informação a priori para seleção dos parâmetros da MVS a partir do formato típico da curva. A amostra tem freqüência diária: março de 1997 a abril de 2001. Os desempenhos fora da amostra de diversas especificações da MVS foram confrontados com aqueles de outros métodos de estimação. A MVS foi o método que melhor controlou o trade- off entre viés e variância dos erros.
This thesis investigates interest rates curve estimation under non-parametric approach. The text is divided into two parts. The first one focus on which criterion to use to select the best performance method in the task of interpolating Brazilian interest rate curve. A selection criterion is proposed to measure out-of-sample performance by combining resample strategies leave-k-out cross validation applied upon the whole sample curves, where K k £ £ 1 and K is function of observed contract number in each curve. Some particularities reduce substantially the required computational effort, making the proposed criterion feasible. The data sample range is daily, from January 1997 to February 2001. The proposed criterion selected natural cubic spline, used as data perfect-fitting estimation method. Considering the trade rate precision, the spline is non-biased. However, quantitative analysis of performance determinant factors showed the existence of out-of-sample error heteroskedasticities. From a conditional variance specification of these errors, a security interval scheme is proposed for interest rate generated by perfect-fitting natural cubic spline. A backtest showed that the proposed security interval is consistent, accommodating the evolved assumptions and approximations. The second part estimate US free-for-floating interest rate swap contract curve by using Support Vector Machine (SVM), a method derived from Statistical Learning Theory. The SVM research has got important theoretical results, however the number of implementation on real regression problems is low. SVM has some attractive characteristics for interest rates curves modeling: it has the ability to introduce already in its estimation process a priori information about curve shape and about liquidity and price formation aspects of the contracts that generate the curve. The last information set is quantified by the bid-ask spread. The basic SVM formulation is changed in order to be able to incorporate the different values for bid-ask spreads, without losing its properties. Great attention is given to the question of how to extract a priori information from swap curve typical shape to be used in MVS parameter selection. The data sample range is daily, from March 1997 to April 2001. The out-of-sample performances of different SVM specifications are faced with others method performances. SVM got the better control of trade- off between bias and variance of out-of-sample errors.
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Books on the topic "Selection Criterion"

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Tibshirani, Robert. The covariance inflation criterion for adaptive model selection. Toronto: University of Toronto, Dept. of Statistics, 1997.

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Veres, Sandor M. Structure selection of stochastic dynamic systems: The information criterion approach. New York: Gordon and Breach Science Publishers, 1990.

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Veres, Sándor M. Structure selection of stochastic dynamic systems: The information criterion approach. New York: Gordon and Breach Science Publishers, 1991.

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Shinner, P. A. Standardising the selection of parcel delivery drivers: The criterion-related validity of a cognitive ability test anda personality questionnaire. Manchester: UMIST, 1996.

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Ammons, David N. Selecting prison sites: State processes, site-selection criteria, and local initiatives. Athens, Ga: Carl Vinson Institute of Government, University of Georgia, 1992.

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Rowe, William H. HVAC: Design criteria, options, selection. 2nd ed. Kingston, MA: R.S. Means Co., 1994.

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(Firm), Means, ed. Roofing: Design criteria, options, selection. Kingston, MA: R.S. Means, 1989.

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Herbert, R. D. Roofing: Design criteria, options, selection. Kingston, MA: R.S. Means Co., 1989.

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Evans, George W. Selection criteria for models with nonuniqueness. Stanford, Calif: Institute for Mathematical Studies in the Social Sciences, Stanford University, 1985.

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Swan, E. S. C. Selection criteria for dental radiologic examination. [Toronto: Faculty of Dentistry, University of Toronto], 1991.

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Book chapters on the topic "Selection Criterion"

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Draper, N. R., and I. Guttman. "A Common Model Selection Criterion." In Probability and Bayesian Statistics, 139–50. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1885-9_14.

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Wu, Leijia, and Kumbesan Sandrasegaran. "Single Criterion Based Algorithms." In A Study on Radio Access Technology Selection Algorithms, 13–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29399-3_3.

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Braides, Andrea. "Local Minimization as a Selection Criterion." In Local Minimization, Variational Evolution and Γ-Convergence, 53–66. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01982-6_4.

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Nachlas, J. A., and R. T. Brown. "A Structural Analysis Code Selection Criterion." In Composite Structures 3, 135–47. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-4952-2_9.

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Ting, Michael. "Hyperparameter Selection Using the SURE Criterion." In Molecular Imaging in Nano MRI, 43–52. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118760949.ch4.

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Shashenko, Oleksandr Mykolayovych, Bayan Rakishevich Rakishev, and Oleksandr Stanislavovych Kovrov. "Slope Stability Analysis by Hoek–Brown Failure Criterion." In Mine Planning and Equipment Selection, 541–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_52.

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Ge, Fei, and Jinwen Ma. "An Information Criterion for Informative Gene Selection." In Advances in Neural Networks – ISNN 2005, 703–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427469_112.

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Abe, Naoto, and Mineichi Kudo. "Entropy Criterion for Classifier-Independent Feature Selection." In Lecture Notes in Computer Science, 689–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11554028_96.

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Herrera, Luis Javier, G. Rubio, H. Pomares, B. Paechter, A. Guillén, and I. Rojas. "Strengthening the Forward Variable Selection Stopping Criterion." In Artificial Neural Networks – ICANN 2009, 215–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04277-5_22.

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Whitaker, Christopher J., Ludmila I. Kuncheva, and Peter D. Cockcroft. "A Logodds Criterion for Selection of Diagnostic Tests." In Lecture Notes in Computer Science, 574–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27868-9_62.

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Conference papers on the topic "Selection Criterion"

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Chang-Li Wu, Yan-Qing Wang, and Cai-Ying Huang. "Portfolio selection with credibility criterion." In 2009 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2009. http://dx.doi.org/10.1109/icmlc.2009.5212651.

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Morkūnaitė, Žydrūnė, and Valentinas Podvezko. "Criteria Evaluation for Contractor Selection in Cultural Heritage Projects Using Multiple Criteria Approach." In Sustainable Decisions in Built Environment. VGTU Technika, 2019. http://dx.doi.org/10.3846/colloquium.2019.001.

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The low bid is the most common applicable method in the contractor selection process, considering by only one dominant criterion. However, the lowest price criterion not allows selecting qualified, responsible, sophisticated, and knowledgeable contractor for cultural heritage projects. Moreover, the improper contractor selection may induce claims, litigation, and poor quality work, increased costs for project performance or management. Selection of appropriate contractor is very important for the success and excellent accomplishment of cultural heritage projects. This study presents criteria evaluation for contractor selection in cultural heritage projects. This paper provides reviews of contractor selection and proposed criteria evaluation, and determines the criteria of culture heritage contractor selection. This study applies the multiple criteria approach: AHP, PROMETHEE and EDAS approaches.
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Borodavka, Vladyslav, and Mikhail Tsuranov. "Biometrics: Analysis and multi-criterion selection." In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE, 2018. http://dx.doi.org/10.1109/dessert.2018.8409152.

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Grabczewski, K., and N. Jankowski. "Feature selection with decision tree criterion." In Fifth International Conference on Hybrid Intelligent Systems (HIS'05). IEEE, 2005. http://dx.doi.org/10.1109/ichis.2005.43.

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Karabey, Uğur, and Nihal Ata Tutkun. "Model selection criterion in survival analysis." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992296.

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Vaithiyanathan, V., K. Rajeswari, Rashmi Phalnikar, and Swati Tonge. "Improved apriori algorithm based on selection criterion." In 2012 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2012. http://dx.doi.org/10.1109/iccic.2012.6510229.

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Liu, Yunhui, Qi Zou, Si Luo, and Ziang Lv. "Model Selection Criterion Applied to Visual Perception." In 2006 8th international Conference on Signal Processing. IEEE, 2006. http://dx.doi.org/10.1109/icosp.2006.345944.

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Masnan, Maz Jamilah, Nor Idayu Mahat, Ali Yeon Md Shakaff, Abu Hassan Abdullah, Nur Zawatil Ishqi Zakaria, Nurlisa Yusuf, Norazian Subari, Ammar Zakaria, and Abdul Hallis Abdul Aziz. "Understanding Mahalanobis distance criterion for feature selection." In INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICoMEIA 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4915708.

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Takada, Hellinton H., and Julio M. Stern. "Information criterion for selection of ubiquitous factors." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING (MAXENT 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4906001.

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Ding, Jie, Mohammad Noshad, and Vahid Tarokh. "Order Selection of Autoregressive Processes Using Bridge Criterion." In 2015 IEEE International Conference on Data Mining Workshop (ICDMW). IEEE, 2015. http://dx.doi.org/10.1109/icdmw.2015.216.

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Reports on the topic "Selection Criterion"

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Van Buren, Kendra L., H. Sezer Atamturktur, and Francois M. Hemez. Simulating the Dynamics of the CX-100 Wind Turbine Blade: Model Selection Using a Robustness Criterion. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1053547.

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Kim, Dong-Eun, Dawn Michaelson, and Young Ha. Selection Criteria for Scuba Diver's Wetsuit. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-4.

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Sivill, R. L. Advanced Liquid Metal Reactor site selection criteria report. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/7013720.

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Fisbhen, Marco, Victor Sahate, and Augusto Duarte. How Disruptive Innovators Prepare Today's Students to Be Tomorrow's Workforce?: Descomplica and Effective Remote Learning. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002962.

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In Brazil, income and race impact on standardized test grades. Standardized test grades are the sole criterion for access to most public universities, or the top higher education institutions. In response, the whole university preparation industry has emerged to cater to students from high-income families, rigging the selection process and perpetuating inequality. This paper aims to describe typical university admissions systems in Brazil to demonstrate how Descomplica is changing the odds of thousands of underprivileged students. With a clear picture of how this system caters to the more privileged, we introduce Descomplica, its tools and learning methodology, and the significant improvements it brings to students, who would not have a hope of joining quality higher education institutions in Brazil otherwise. Finally, the paper discusses the potential impacts and replicability for similar innovation elsewhere in the Americas to help decision-makers in the region especially when lockdowns and curfews are necessary, such as the COVID-19 pandemic.
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5

Schwenk, E. B., and K. V. Scott. Description of double-shell tank selection criteria for inspection. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/464061.

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6

Sinek, R. L. Computer-Based Training Technology: Overview and System Selection Criteria. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada172988.

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7

Bailey, Sharon A., James M. Alzheimer, Carl P. Baker, Jonathan T. Smalley, Joseph C. Tucker, and Patrick L. Valdez. Remote Pit Operation Enhancement System: Concept Selection Method and Evaluation Criteria. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/15009666.

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8

Edwards, Bernell J. Aircrew Task Surveys: Selection Criteria for Low-Cost Training Technology Applications. Fort Belvoir, VA: Defense Technical Information Center, March 1987. http://dx.doi.org/10.21236/ada178473.

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9

Fischer, R. REDWC Waste Stream Matrix Waste Treatment, Disposition and Container Selection Criteria. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/1046109.

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10

Author, Not Given. Funding Solar Projects at Federal Agencies: Mechanisms and Selection Criteria (Brochure). Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1036903.

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