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Relevant bibliographies by topics / Comparative methods

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Academic literature on the topic 'Comparative methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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Journal articles on the topic "Comparative methods"

1

Yusupov, Azamat, Muyassar Khamitovna Karimova, and Mastona Zakirkhodzhayeva. "COMPARATIVE ANALYSIS OF TONOMETRY METHODS." UZBEK MEDICAL JOURNAL Special issue, no. 3 (September 30, 2021): 21–24. http://dx.doi.org/10.26739/2181-0664-2021-si-3-4.

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The principles of glaucoma diagnostics are based on the triad of symptoms -the excess of IOP over the tolerant level, changes in the visual field, primarily in the Bjerrum zone, and also on glaucomatous excavation of the optic nerve head. It should be recognized that the IOP level is the only proven risk factor for the progression of glaucomatous optic nerve atrophy and, at the same time, the only factor that we can influence. That is why the determination of IOP is of great importance in diagnosis and is the basis for evaluating the effectiveness of glaucoma treatment.Keywords: IOP (intraocular pressure), tonometry, glaucoma, primary open-angle glaucoma, glaucomatous optic neuropathy, tonometer, pneumotonometer

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Yusupov, Azamat, Muyassar Khamitovna Karimova, and Mastona Zakirkhodzhayeva. "COMPARATIVE ANALYSIS OF TONOMETRY METHODS." UZBEK MEDICAL JOURNAL Special issue, no. 3 (September 30, 2021): 21–24. http://dx.doi.org/10.26739/2181-0664-2021-si-3-4.

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The principles of glaucoma diagnostics are based on the triad of symptoms -the excess of IOP over the tolerant level, changes in the visual field, primarily in the Bjerrum zone, and also on glaucomatous excavation of the optic nerve head. It should be recognized that the IOP level is the only proven risk factor for the progression of glaucomatous optic nerve atrophy and, at the same time, the only factor that we can influence. That is why the determination of IOP is of great importance in diagnosis and is the basis for evaluating the effectiveness of glaucoma treatment.Keywords: IOP (intraocular pressure), tonometry, glaucoma, primary open-angle glaucoma, glaucomatous optic neuropathy, tonometer, pneumotonometer

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Fitzgerald, Tanya. "Comparative historical methods." History of Education 44, no. 3 (March 5, 2015): 400–402. http://dx.doi.org/10.1080/0046760x.2015.1015629.

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Cornwell, Will, and Shinichi Nakagawa. "Phylogenetic comparative methods." Current Biology 27, no. 9 (May 2017): R333—R336. http://dx.doi.org/10.1016/j.cub.2017.03.049.

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Kim, Tae-Woong. "Comparative Analysis of Estimation Methods for Basin Averaged Effective Rainfall Using NRCS-CN Method." Journal of the Korean Society of Civil Engineers 34, no. 2 (2014): 493. http://dx.doi.org/10.12652/ksce.2014.34.2.0493.

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Lohr, Kathleen N. "Comparative Effectiveness Research Methods." Medical Care 48 (June 2010): S3—S6. http://dx.doi.org/10.1097/mlr.0b013e3181e10434.

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Bolbakov, R. G., A. V. Sinitsyn, and V. Ya Tsvetkov. "Methods of comparative analysis." Journal of Physics: Conference Series 1679 (November 2020): 052047. http://dx.doi.org/10.1088/1742-6596/1679/5/052047.

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Thiem, Alrik. "Unifying Configurational Comparative Methods." Sociological Methods & Research 43, no. 2 (October 30, 2013): 313–37. http://dx.doi.org/10.1177/0049124113500481.

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Uyeda, Josef C., Rosana Zenil-Ferguson, and Matthew W. Pennell. "Rethinking phylogenetic comparative methods." Systematic Biology 67, no. 6 (April 25, 2018): 1091–109. http://dx.doi.org/10.1093/sysbio/syy031.

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Gittleman, J. L., and H. Luh. "On Comparing Comparative Methods." Annual Review of Ecology and Systematics 23, no. 1 (November 1992): 383–404. http://dx.doi.org/10.1146/annurev.es.23.110192.002123.

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Dissertations / Theses on the topic "Comparative methods"

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Eriksen, Niklas. "Combinatorial methods in comparative genomics." Doctoral thesis, KTH, Mathematics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3508.

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Purvis, A. "Comparative methods : theory and practice." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315843.

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Singh, Jagmeet 1980. "Comparative analysis of robust design methods." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35630.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
Includes bibliographical references (p. 161-163).
Robust parameter design is an engineering methodology intended as a cost effective approach to improve the quality of products, processes and systems. Control factors are those system parameters that can be easily controlled and manipulated. Noise factors are those system parameters that are difficult and/or costly to control and are presumed uncontrollable. Robust parameter design involves choosing optimal levels of the controllable factors in order to obtain a target or optimal response with minimal variation. Noise factors bring variability into the system, thus affecting the response. The aim is to properly choose the levels of control factors so that the process is robust or insensitive to the variation caused by noise factors. Robust parameter design methods are used to make systems more reliable and robust to incoming variations in environmental effects, manufacturing processes and customer usage patterns. However, robust design can become expensive, time consuming, and/or resource intensive. Thus research that makes robust design less resource intensive and requires less number of experimental runs is of great value. Robust design methodology can be expressed as multi-response optimization problem.
(cont.) The objective functions of the problem being: maximizing reliability and robustness of systems, minimizing the information and/or resources required for robust design methodology, and minimizing the number of experimental runs needed. This thesis discusses various noise factor strategies which aim to reduce number of experimental runs needed to improve quality of system. Compound Noise and Take-The-Best-Few Noise Factors Strategy are such noise factor strategies which reduce experimental effort needed to improve reliability of systems. Compound Noise is made by combing all the different noise factors together, irrespective of the number of noise factors. But such a noise strategy works only for the systems which show effect sparsity. To apply the Take-The-Best-Few Noise Factors Strategy most important noise factors in system's noise factor space are found. Noise factors having significant impact on system response variation are considered important. Once the important noise factors are identified, they are kept independent in the noise factor array. By selecting the few most important noise factors for a given system, run size of experiment is minimized.
(cont.) Take-The-Best-Few Noise Factors Strategy is very effective for all kinds of systems irrespective of their effect sparsity. Generally Take-The-Best-Few Noise Factors Strategy achieves nearly 80% of the possible improvement for all systems. This thesis also tries to find the influence of correlation and variance of induced noise on quality of system. For systems that do not contain any significant three-factor interactions correlation among noise factors can be neglected. Hence amount of information needed to improve the quality of systems is reduced.
by Jagmeet Singh.
Ph.D.

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Zeitler, Berndt. "A comparative study of source substitution methods." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=974828165.

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Fuxelius, Hans-Henrik. "Methods and Applications in Comparative Bacterial Genomics." Doctoral thesis, Uppsala universitet, Molekylär evolution, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8398.

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Comparative studies of bacterial genomes, now counting in the hundreds, generate massive amounts of information. In order to support a systematic and efficient approach to genomic analyses, a database driven system with graphic visualization of genomic properties was developed - GenComp. The software was applied to studies of obligate intracellular bacteria. In all studies, ORFs were extracted and grouped into ORF-families. Based on gene order synteny, orthologous clusters of core genes and variable spacer ORFs were identified and extracted for alignments and computation of substitution frequencies. The software was applied to the genomes of six Chlamydia trachomatis strains to identify the most rapidly evolving genes. Five genes were chosen for genotyping, and close to a 3-fold higher discrimination capacity was achieved than that of serotypes. With GenComp as the backbone, a massive comparative analysis were performed on the variable gene set in the Rickettsiaceae, which includes Rickettsia prowazekii and Orientia tsutsugamushi, the agents of epidemic and scrub typhus, respectively. O. tsutsugamushi has the most exceptional bacterial genome identified to date; the 2.2 Mb genome is 200-fold more repeated than the 1.1 Mb R. prowazekii genome due to an extensive proliferation of conjugative type IV secretion systems and associated genes. GenComp identified 688 core genes that are conserved across 7 closely related Rickettsia genomes along with a set of 469 variably present genes with homologs in other species. The analysis indicates that up to 70% of the extensively degraded and variably present genes represent mobile genetic elements and genes putatively acquired by horizontal gene transfer. This explains the paradox of the high pseudogene load in the small Rickettsia genomes. This study demonstrates that GenComp provides an efficient system for pseudogene identification and may help distinguish genes from spurious ORFs in the many pan-genome sequencing projects going on worldwide.

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Mota, Pedro Jorge Gomes. "Comparative analysis of multicriteria decision making methods." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11263.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
The main objective of this dissertation is to perform a Comparative Analysis of different Multicriteria Decision Making Methods applied to real-world problems, in order to produce relevant information to enable the incorporation of those methods on computational platforms. The current document presents a simple case study concerning a decision support application targeted for a real problem regarding retrofitting alternatives of a building with energy efficiency impact. The application process was started with the selection of two Multicriteria Decision Making Methods guided by a preexisting framework, and resulted in the choice of AHP and PROMETHEE II methodologies. These two methods were then combined with three different decision maker profiles (Conservative, Moderate and Aggressive) created by means of risk assessment profiling techniques for portfolio allocation. Afterwards, the chosen decision criteria were disposed in a Risk Pyramid according to their inherent level of risk regarding project evaluation. A match was then performed between the decision maker profiles and each criterion, so as to define a proper set of weights for the decision criteria and preference functions, with corresponding preference and indifference thresholds. Finally, three different sets of results (one for each decision maker profile) were produced using appropriate software, and a Sensitivity Analysis was performed over the criteria to understand their influence on the solution. The general conclusion of this Comparative Analysis is that the increase in the preference modelling ability of the methods brings up the least expected alternatives as recommendations for the decision maker. Besides, we have concluded that the decision profiles that allocate bigger weights to the riskiest criteria are the ones that produce the more dispersed set of results within each method application and within each decision maker profile.

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Perkins, Crysta. "A Comparative Evaluation of Functional Analytic Methods." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157622/.

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The individual functional analysis (FA) is the most widely used method to identify variables that influence the occurrence of problem behavior. Researchers often modify the FA after the analysis reveals undifferentiated responding. The interview-informed synthesized contingency analysis (IISCA) is one of the most substantial variations of the FA that builds upon the FA modifications. We evaluated the use of the two different functional analytic methods, the FA and IISCA, and the subsequent function-based treatment to reduce problem behavior for three children with autism spectrum disorder (ASD). The individual FA and the IISCA demonstrated differentiated responding for all participants. The treatment based on the results from the traditional FA was effective for all children. We discuss the implications of these findings.

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Alqahtani, Abdullah Ayed F. "Comparative Analysis of Roundabout Capacity Analysis Methods." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1557252181941848.

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Hawley, Kevin J. "A comparative analysis of areal interpolation methods." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1139949635.

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Meyer, Irmtraud Margret. "Mathematical methods for comparative Ab initio gene prediction." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619669.

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Books on the topic "Comparative methods"

1

1965-, Rihoux Benoît, and Ragin Charles C, eds. Comparative methods. Thousand Oaks: Sage, 2009.

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Methods of comparative law. Cheltenham, U.K: Edward Elgar Pub., 2012.

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Klump, G. M., R. J. Dooling, R. R. Fay, and W. C. Stebbins, eds. Methods in Comparative Psychoacoustics. Basel: Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-7463-2.

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Comparative politics: Theory and methods. Houndmills, Basingstoke, Hampshire: Macmillan Press, 1998.

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Comparative politics: Theory and methods. New York: New York University Press, 1998.

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Walker, Simon. Comparative underground coal mining methods. Londpn: IEA Coal Research, 1996.

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Berg-Schlosser, Dirk. Mixed Methods in Comparative Politics. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137283375.

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Hendry, G. A. F., and J. P. Grime, eds. Methods in Comparative Plant Ecology. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1494-3.

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Johnson, Timothy P., Beth-Ellen Pennell, Ineke A. L. Stoop, and Brita Dorer, eds. Advances in Comparative Survey Methods. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781118884997.

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Hikaku shakaishi e no michi. Tōkyō: Miraisha, 2002.

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Book chapters on the topic "Comparative methods"

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Hopkin, Jonathan. "Comparative Methods." In Theory and Methods in Political Science, 249–67. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62889-2_13.

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Hague, Rod, and Martin Harrop. "Comparative methods." In Comparative Government and Politics, 361–74. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-31786-5_19.

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Burnham, Peter, Karin Gilland Lutz, Wyn Grant, and Zig Layton-Henry. "Comparative Methods." In Research Methods in Politics, 69–95. London: Macmillan Education UK, 2008. http://dx.doi.org/10.1007/978-0-230-36556-8_4.

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Thomas, Derek. "Comparative Structural Methods." In Masters of the Structural Aesthetic, 109–21. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5445-7_4.

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Penner, Merrilyn J. "Psychophysical Methods." In Methods in Comparative Psychoacoustics, 47–57. Basel: Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-7463-2_5.

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Cheng, Jan-Fang, James R. Priest, and Len A. Pennacchio. "Comparative Genomics." In Methods in Molecular Biology, 229–51. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-030-0_13.

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Xia, Xuhua. "Comparative Genomics and the Comparative Methods." In Comparative Genomics, 21–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37146-2_2.

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Patten, Mildred L., and Michelle Newhart. "Causal-Comparative Studies." In Understanding Research Methods, 16–18. Tenth edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-6.

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Anselmetti, Yoann, Nina Luhmann, Sèverine Bérard, Eric Tannier, and Cedric Chauve. "Comparative Methods for Reconstructing Ancient Genome Organization." In Comparative Genomics, 343–62. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7463-4_13.

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Wong, Mathew Y. H. "Methods in Comparative Politics." In Comparative Hong Kong Politics, 15–33. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3096-3_2.

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Conference papers on the topic "Comparative methods"

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Yelistratova, Irina. "Comparative analysis of superresolution methods." In 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). IEEE, 2017. http://dx.doi.org/10.1109/sibircon.2017.8109869.

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Gael, Pankai, Mahesh Chandra, Prateek Saxena, and V. K. Gupta. "Comparative analysis of speech enhancement methods." In 2013 Tenth International Conference on Wireless and Optical Communications Networks - (WOCN). IEEE, 2013. http://dx.doi.org/10.1109/wocn.2013.6616238.

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Chen, Xuezhong, Huan Yang, and Zhaohan Sheng. "Comparative Analysis of System Evaluation Methods." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.407.

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Bouzoubaa, Kawtar, Youssef Taher, and Benayad Nsiri. "Comparative Study of Features Selection Methods." In ICACS'20: 2020 4th International Conference on Algorithms, Computing and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3423390.3423393.

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Ahmadzadeh, Mohammad R., P. Duree, and Maria Petrou. "Comparative study of terrain interpolation methods." In Remote Sensing, edited by Giovanna Cecchi, Edwin T. Engman, and Eugenio Zilioli. SPIE, 1999. http://dx.doi.org/10.1117/12.373122.

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Dyakova, O. V., A. V. Alexandria, and A. G. Solovyov. "COMPARATIVE ANALYSIS OF CONSTRUCTION PRODUCTION METHODS." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.455-457.

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The article considers the choice of organization of construction production as one of the main factors of successful construction. Properly organized production will allow you to fully develop all the production and technical potential. That is why the organization of construction production deserves study and direct development.

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Gang Yao, G. Buttazzo, and M. Bertogna. "Comparative evaluation of limited preemptive methods." In Factory Automation (ETFA 2010). IEEE, 2010. http://dx.doi.org/10.1109/etfa.2010.5641199.

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Kang, Yong-Suk, Hee-Hoon Cho, Yongtae Shin, and Jong-Bae Kim. "Comparative Study of Penetration Test Methods." In Art, Culture, Game, Graphics, Broadcasting and digital Contents 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.87.08.

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Li, Jie-Gu, Jun Zhang, and Qian-bang Yang. "Comparative study on image matching methods." In International Symposium on Multispectral Image Processing, edited by Ji Zhou, Anil K. Jain, Tianxu Zhang, Yaoting Zhu, Mingyue Ding, and Jianguo Liu. SPIE, 1998. http://dx.doi.org/10.1117/12.323673.

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Terentiev, Evgeni N., and Nikolai E. Terentiev. "Comparative analysis of methods of superresolution." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Stephen K. Park, Zia-ur Rahman, and Robert A. Schowengerdt. SPIE, 2001. http://dx.doi.org/10.1117/12.438258.

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Reports on the topic "Comparative methods"

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Wong, John, Elizabeth DeLong, and Thomas Trikalinos. Integrating Analytical Methods to Improve Comparative Effectiveness Research. Patient-Centered Outcomes Research Institute® (PCORI), September 2019. http://dx.doi.org/10.25302/9.2019.me.13035894.

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White, M. D., B. P. McGrail, and S. K. Wurstner. Comparative Assessment of Advanced Gas Hydrate Production Methods. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/973071.

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Wood, David P., and William G. Wood. Comparative Evaluations of Four Specification Methods for Real-Time Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1989. http://dx.doi.org/10.21236/ada219187.

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Porter, R. D., D. M. Hamby, and J. E. Martin. Treatment methods and comparative risks of thorium removal from waste residues. Office of Scientific and Technical Information (OSTI), July 1997. http://dx.doi.org/10.2172/290911.

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Dong, Cheryl. A comparative study of three language sampling methods using developmental sentence scoring. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5473.

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Traoré, Fousseini, Alhassane Camara, and Kike Yra Fonton. A comparative analysis of updating and balancing methods for social accounting matrices. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.136394.

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Schneeweiss, Sebastian, Richard Wyss, Mark van der Laan, Samuel Lendle, Cheng Ju, and Jessica Franklin. Methods for Improving Confounding Control in Comparative Effectiveness Research Using Electronic Healthcare Databases. Patient-Centered Outcomes Research Institute® (PCORI), August 2019. http://dx.doi.org/10.25302/7.2019.me.13035638.

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Gregurick, S. K. AB Initio Protein Tertiary Structure Prediction: Comparative-Genetic Algorithm with Graph Theoretical Methods. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/834523.

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Lee, Yuh-Jeng, and Valdis Berzins. Systematic Development of Hard Real-Time Software: A Comparative Study of Three Methods. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada252784.

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Collin, R. E. Comparative Evaluation of Kirchhoff, Perturbation, and Full Wave Methods for Rough Surface Scattering. Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada271198.

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