Relevant bibliographies by topics / Model comparisons

Contents

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

Academic literature on the topic 'Model comparisons'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Model comparisons"

1

Anderson-Sprecher, Richard. "Model Comparisons andR2." American Statistician 48, no. 2 (1994): 113–17. http://dx.doi.org/10.1080/00031305.1994.10476036.

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Sugden, A. M. "Climate Model Comparisons." Science 336, no. 6078 (2012): 133. http://dx.doi.org/10.1126/science.336.6078.133-c.

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Riyanto, Agus, and Gabriel Sianturi. "PROSEDUR PROSES LAYANAN INDUSTRI KEUANGAN MENGGUNAKAN MODEL IDEF0." Jurnal Ilmiah Bisnis dan Ekonomi Asia 15, no. 2 (2021): 172–78. http://dx.doi.org/10.32815/jibeka.v15i2.219.

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This research aims to provide an overview of the procedure of the financial comparison service process in the form of credit card comparisons and mortgage loan comparisons conducted digitally in Indonesia. This research used a qualitative method using the IDEF0 model. Current financial services have used digital technology. A large amount of financial services competition conducted by Fintech has been able to trim the existing process procedures. Credit card comparisons and mortgage loan comparisons can be done online. Innovations made by Fintech for financial services have cut downtime and a
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Petrilli, Sara, Miriam Parise, Silvio Carlo Ripamonti, and Silvia Donato. "Couple Social Comparisons and Relationship Quality: A Path Analysis Model." Informing Science: The International Journal of an Emerging Transdiscipline 27 (2024): 003. http://dx.doi.org/10.28945/5281.

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Aim/Purpose: This study offers an important contribution to the literature on couple social comparisons by showing how different aspects of comparisons are related to relationship quality. Background: Making social comparisons is a daily tendency of human beings that does not only occur on an individual level but also in the context of romantic relationships. This phenomenon is widespread among couples, though partners differ in terms of their propensity to make couple social comparisons. The literature has shown that all these facets of couple social comparison play an important role in relat
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Suls, Jerry, René Martin, and Ladd Wheeler. "Three Kinds of Opinion Comparison: The Triadic Model." Personality and Social Psychology Review 4, no. 3 (2000): 219–37. http://dx.doi.org/10.1207/s15327957pspr0403_2.

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This article introduces the triadic model, which proposes that the social comparison of opinion is best considered in terms of 3 different evaluative questions: preference assessment (i.e., “Do I like X?”), belief assessment (i.e., “Is X correct?”), and preference prediction (i.e., “Will I like X?”). Each evaluative question is associated with a different comparison dynamic. The triadic model proposes that comparisons with persons similar in related attributes have special importance for preference assessment. For belief assessment, comparisons with persons of more advantaged status (or “exper
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Peteet, Dorothy M. "Paleoclimate Data-Model Comparisons." Ecology 76, no. 2 (1995): 672–73. http://dx.doi.org/10.2307/1941232.

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Harms, Travis W., and Z. Christopher Mercer. "S Corporation Model Comparisons." Business Valuation Review 27, no. 1 (2008): 38–54. http://dx.doi.org/10.5791/0882-2875-27.1.38.

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Brierley, Chris, and Kira Rehfeld. "Paleovariability: Data Model Comparisons." Past Global Changes Magazine 22, no. 2 (2014): 102. http://dx.doi.org/10.22498/pages.22.2.102.

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O'Neill, Brian C., Jean-Francois Lamarque, and David Lawrence. "Developing Climate Model Comparisons." Eos, Transactions American Geophysical Union 95, no. 49 (2014): 462. http://dx.doi.org/10.1002/2014eo490008.

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Cherkassky, Vladimir, and Yunqian Ma. "Comparison of Model Selection for Regression." Neural Computation 15, no. 7 (2003): 1691–714. http://dx.doi.org/10.1162/089976603321891864.

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We discuss empirical comparison of analytical methods for model selection. Currently, there is no consensus on the best method for finite-sample estimation problems, even for the simple case of linear estimators. This article presents empirical comparisons between classical statistical methods—Akaike information criterion (AIC) and Bayesian information criterion (BIC)—and the structural risk minimization (SRM) method, basedon Vapnik-Chervonenkis (VC) theory, for regression problems. Our study is motivated by empirical comparisons in Hastie, Tibshirani, and Friedman (2001), which claims that th
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Dissertations / Theses on the topic "Model comparisons"

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Lim, Yeongyu. "Cognitive diagnostic model comparisons." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53513.

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Cognitive diagnostic assessment (CDA) is a new theoretical framework that is designed to integrate cognitive psychology into measurement theories. The main purpose of CDA is to provide examinees with diagnostic information while traditional psychometric approaches focus on how latent variables are accurately measured. Many cognitive diagnostic models (CDM) have been developed for CDA. Three cognitive diagnostic models- namely the rule space method (RSM), the high-order deterministic inputs, noisy ‘and’ gate (HO-DINA) model, and the multidimensional latent trait model for diagnosis (MLTM-D) mo
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Sjölander, Morné Rowan. "SL-model for paired comparisons." Thesis, Nelson Mandela Metropolitan University, 2006. http://hdl.handle.net/10948/605.

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The method of paired comparisons can be found all the way back to 1860, where Fechner made the first publication in this method, using it for his psychometric investigations [4]. Thurstone formalised the method by providing a mathematical background to it [9-11] and in 1927 the method’s birth took place with his psychometric publications, one being “a law of comparative judgment” [12-14]. The law of comparative judgment is a set of equations relating the proportion of times any stimulus k is judged greater on a given attribute than any other stimulus j to the scales and discriminal dispersions
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Li, Qie. "A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1342530994.

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Chadwick, Thomas Jonathan. "A general Bayes theory of nested model comparisons." Thesis, University of Newcastle Upon Tyne, 2002. http://hdl.handle.net/10443/641.

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We propose a general Bayes analysis for nested model comparisons which does not suffer from Lindley's paradox. It does not use Bayes factors, but uses the posterior distribution of the likelihood ratio between the models evaluated at the true values of the nuisance parameters. This is obtained directly from the posterior distribution of the full model parameters. The analysis requires only conventional uninformative or flat priors, and prior odds on the models. The conclusions from the posterior distribution of the likelihood ratio are in general in conflict with Bayes factor conclusions, but
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Dittrich, Regina, Brian Francis, and Walter Katzenbeisser. "Temporal dependence in longitudinal paired comparisons." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2008. http://epub.wu.ac.at/1452/1/document.pdf.

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This paper develops a new approach to the analysis of longitudinal paired comparison data, where comparisons of the same objects by the same judges are made on more than one occasion. As an alternative to other recent approaches to such data, which are based on Kalman filter- ing, our approach treats the problem as one of multivariate multinomial data, allowing dependence terms between comparisons over time to be incorporated. The resulting model can be fitted as a Poisson log-linear model and has parallels with the quadratic binary exponential distribution of Cox. An example from the British
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Sheng, Yanyan. "Bayesian IRT models with general and specific traits parameter estimation and model comparisons." Saarbrücken VDM Verlag Dr. Müller, 2000. http://d-nb.info/991217144/04.

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Al-Dubaibi, Aishah Saad. "The best model for pairwise comparisons and a case study." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387876.

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Woodward-Massey, Robert. "Observations of radicals in the atmosphere : measurement validation and model comparisons." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/22164/.

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Comparisons of the levels of radicals observed during field campaigns to the results of detailed chemical box models serve as a vital tool to assess our understanding of the underlying chemical mechanisms involved in tropospheric oxidation. Recent measurements of OH radicals are significantly higher than those predicted by models in certain environments, especially those at low NOx influenced by high emissions of biogenic compounds. Other studies have suggested that fluorescence assay by gas expansion (FAGE) instruments may be susceptible to an unknown interference in the measurement of OH. Th
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Webb, Ben. "Problems related to the Zermelo and Extended Zermelo Model /." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd368.pdf.

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Cai, Mengfei. "Measurement Approach to the Comparisons of Career Anchor Models." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3581.

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The career anchors concept is an approach to understanding career orientation and motivation. The original career anchor model was introduced by Schein in 1974. Several investigators have created revisions of the model to make it more useful. This dissertation is a continuation of the quest to evaluate the original model and the revised models with respect to empirical support. This study is the first of two studies in which measurement methods are devised to solve the psychometric problems of previous measures. In this study we create and test an "economic exchange" model to correct the prob
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Books on the topic "Model comparisons"

1

Jonas, F. Comparisons of debris environment model breakup models. American Institute of Aeronautics and Astronautics, 1993.

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Armstrong, T. W. Trapped radiation model uncertainties: Model, data and model, model comparisons. National Aeronautics and Space Administration, Marshall Space Flight Center, 2000.

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3

Stephen, Thompson Robert, and Geological Survey (U.S.), eds. Pliocene terrestrial environments and data/model comparisons. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Stephen, Thompson Robert, and Geological Survey (U.S.), eds. Pliocene terrestrial environments and data/model comparisons. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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A, Wahls Richard, and Langley Research Center, eds. Turbulence model comparisons for a high-speed aircraft. National Aeronautics and Space Administration, Langley Research Center, 1999.

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6

Lim, G. C. The generalised adjustment model and the optimal marginal adjustment model: Some comparisons. Dept. of Economics,University of Melbourne, 1989.

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Tsuneyoshi, Ryoko Kato. The Japanese model of schooling: Comparisons with the United States. RoutledgeFalmer, 2001.

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MacNichol, Alina Z. FSCBG model comparisons with the 1988 Davis spray characterization trials. USDA Forest Service Forest Pest Management, 1993.

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9

Harrison, D. E. Model-data comparisons for the 1982-83 El Niño: The XBT tracks. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Pacific Marine Environmental Laboratory, 1988.

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S, Kessler William, Giese Benjamin S, and Pacific Marine Environmental Laboratory (U.S.), eds. Model-data comparisons for the 1982-83 El Niño: The XBT tracks. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Pacific Marine Environmental Laboratory, 1988.

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Book chapters on the topic "Model comparisons"

1

Hsu, Jason C. "Multiple comparisons in the general linear model." In Multiple Comparisons. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-7180-7_7.

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McCarthy, Richard V., Mary M. McCarthy, Wendy Ceccucci, and Leila Halawi. "Model Comparisons and Scoring." In Applying Predictive Analytics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14038-0_7.

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McCarthy, Richard V., Mary M. McCarthy, and Wendy Ceccucci. "Model Comparisons and Scoring." In Applying Predictive Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83070-0_7.

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Nieminen, Marjo. "Nordic and European comparisons." In Schoolteachers and the Nordic Model. Routledge, 2021. http://dx.doi.org/10.4324/9781003082514-8.

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Bolin, Jocelyn H. "Model Comparisons and Hierarchical Regression." In Regression Analysis in R. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429295843-7.

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Bogdan, Malgorzata, and Florian Frommlet. "Identifying Important Predictors in Large Data Bases − Multiple Testing and Model Selection." In Handbook of Multiple Comparisons. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429030888-7.

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Dittrich, Regina, Reinhold Hatzinger, and Walter Katzenbeisser. "An Extended Model for Paired Comparisons." In Statistical Modelling. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0789-4_11.

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Mohamed, Khaled Salah. "Comparisons, Hybrid Solutions, Hardware Architectures, and New Directions." In Machine Learning for Model Order Reduction. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75714-8_7.

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Parton, William J. "Ecosystem model comparisons: science or fantasy world?" In Evaluation of Soil Organic Matter Models. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61094-3_10.

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Munera, Hector A. "A General Model for Quantitative Risk Comparisons." In Risk Analysis. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0730-1_46.

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Conference papers on the topic "Model comparisons"

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Singh, Ashita, Raghav Sampath, Shiv Akash Dhinakar Raj, Gerardine Immaculate Mary, G. Aarthi, and Rajesh Kumar M. "Federated Learning for Predictive Maintenance: Model Comparisons and Privacy Advantages." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823350.

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Islam, Md Sariful, Jubayer Ahmed Shawon, Wahidur Rahman, et al. "Deep Learning Approaches for Mango Species Classification: Performance Metrics and Model Comparisons." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11022108.

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Ennis, Brandon, Christopher Kelley, and David Maniaci. "Dynamic Wake Meandering Model Comparison with Varying Fidelity Models for Wind Turbine Wake Prediction." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10301.

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The dynamic wake meandering model (DWM) is a common wake model used for fast prediction of wind farm power and loads. This model is compared to higher fidelity vortex method (VM) and actuator line large eddy simulation (AL-LES) model results. By looking independently at the steady wake deficit model of DWM, and performing a more rigorous comparison than averaged result comparisons alone can produce, the models and their physical processes can be compared. The DWM and VM results of wake deficit agree best in the mid-wake region due to the consistent recovery prior to wake breakdown predicted in
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Wang, Hongbin, and Srdjan Nešić. "CO2 Corrosion Model Verification Using Field Data." In CORROSION 2006. NACE International, 2006. https://doi.org/10.5006/c2006-06567.

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Abstract An integrated multiphase flow and corrosion prediction package was tested by comparing it’s performance with data obtained from the field. The comparisons indicated a satisfactory performance, even for the situations where incomplete information was available about the field cases. The results have shown that the effect of traces of H2S on CO2 corrosion needs to be given particular care when making simulations.
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Ringert, Jan Oliver, and Syed Waqee Wali. "Semantic comparisons of Alloy models." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. ACM, 2020. http://dx.doi.org/10.1145/3365438.3410955.

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JONAS, F., K. YATES, and R. EVANS. "Comparisons of debris environment model breakup models." In 31st Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-166.

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Chadalavada, Pardhasai, Matthew J. Andreini, Michael S. Manwell, and Soumyo Dutta. "DAVINCI Venus Atmospheric Model Comparisons." In AIAA SCITECH 2024 Forum. American Institute of Aeronautics and Astronautics, 2024. http://dx.doi.org/10.2514/6.2024-1913.

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Guo, Yuan, Peng Tian, Jayashree Kalpathy-Cramer, et al. "Experimental Design under the Bradley-Terry Model." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/304.

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Labels generated by human experts via comparisons exhibit smaller variance compared to traditional sample labels. Collecting comparison labels is challenging over large datasets, as the number of comparisons grows quadratically with the dataset size. We study the following experimental design problem: given a budget of expert comparisons, and a set of existing sample labels, we determine the comparison labels to collect that lead to the highest classification improvement. We study several experimental design objectives motivated by the Bradley-Terry model. The resulting optimization problems a
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Helliwell, William S., Gerald N. Sullivan, Burns Macdonald, and Kenneth J. Voss. "Ship shadowing: model and data comparisons." In Orlando '90, 16-20 April, edited by Richard W. Spinrad. SPIE, 1990. http://dx.doi.org/10.1117/12.21434.

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Kimura, W. D. "Model Comparisons with STELLA Experimental Results." In ADVANCED ACCELERATOR CONCEPTS: Eleventh Advanced Accelerator Concepts Workshop. AIP, 2004. http://dx.doi.org/10.1063/1.1842561.

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Reports on the topic "Model comparisons"

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Rossi, Barbara, and Raffaella Giacomini. Model comparisons in unstable environments. Institute for Fiscal Studies, 2012. http://dx.doi.org/10.1920/wp.cem.2012.1312.

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Fletcher, C. D., and M. A. Bolander. N Reactor RELAP5 model benchmark comparisons. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/5194568.

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Murphy, C. E. Jr, and G. R. Wortham. An atmospheric tritium release database for model comparisons. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/554137.

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Murphy, C. E. Jr, and G. R. Wortham. An atmospheric tritium release database for model comparisons. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/10160761.

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Murphy, C. E. Jr, and G. R. Wortham. An atmospheric tritium release database for model comparisons. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/7279705.

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Whitley, Von Howard, Krista Lynn Stalsberg, Benjamin Lee Reichelt, and Sarah Jayne Shipley. Model comparisons of the reactive burn model SURF in three ASC codes. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1417156.

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Gregor, Nicholas, Kofi Addo, Linda Al Atik, et al. Comparison of NGA-Sub Ground-Motion Models. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/ubdv7944.

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Ground-motion models (GMMs) for subduction earthquakes recently developed as part of the NGA-Subduction (NGA-Sub) project are compared in this report. The three models presented in this comparison report are documented in their respective PEER reports. Two of the models are developed for a global version and as well regionalized models. The third model is developed based on earthquakes contain in the NGA-Sub dataset only from Japan and as such is applicable for Japan. As part of the comparisons presented in this report, deterministic calculations are provided for the global and regional cases
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Ivakin, Anatoliy N. Scattering from inclusions in Marine Sediments: SAX04 Data/Model Comparisons. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada494558.

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Murphy, C. E. Jr, and G. R. Wortham. An atmospheric tritium release database for model comparisons. Revision 1. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/61122.

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Robb, Kevin R. Updated Peach Bottom Model for MELCOR 1.8.6: Description and Comparisons. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1156748.

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