Relevant bibliographies by topics / Generalized Linear Modelling

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

Academic literature on the topic 'Generalized Linear Modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Generalized Linear Modelling"

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Wilson, K., and B. T. Grenfell. "Generalized linear modelling for parasitologists." Parasitology Today 13, no. 1 (1997): 33–38. http://dx.doi.org/10.1016/s0169-4758(96)40009-6.

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Atkinson, Peter, Hester Jiskoot, Remo Massari, and Tavi Murray. "Generalized linear modelling in geomorphology." Earth Surface Processes and Landforms 23, no. 13 (1998): 1185–95. http://dx.doi.org/10.1002/(sici)1096-9837(199812)23:13<1185::aid-esp928>3.0.co;2-w.

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Schuenemeyer, John H., P. McCullagh, and J. A. Nelder. "Generalized Linear Models." Technometrics 34, no. 2 (1992): 224. http://dx.doi.org/10.2307/1269238.

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Breslow, Norman, Ludwig Fahrmeir, and Gerhard Tutz. "Multivariate Statistical Modelling Based on Generalized Linear Models." Journal of the American Statistical Association 91, no. 434 (1996): 908. http://dx.doi.org/10.2307/2291687.

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Glosup, Jeffrey. "Multivariate Statistical Modelling Based on Generalized Linear Models." Technometrics 37, no. 3 (1995): 350–51. http://dx.doi.org/10.1080/00401706.1995.10484351.

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Chappell, Rick. "Multivariate Statistical Modelling Based on Generalized Linear Models." Journal of the American Statistical Association 98, no. 463 (2003): 776–77. http://dx.doi.org/10.1198/jasa.2003.s302.

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Ziegel, Eric. "Multivariate Statistical Modelling Based on Generalized Linear Models." Technometrics 44, no. 1 (2002): 94. http://dx.doi.org/10.1198/tech.2002.s673.

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LEE, JAMES, H. P. LEE, and K. S. CHIA. "Analysis of Registry Data by Generalized Linear Modelling." International Journal of Epidemiology 19, no. 2 (1990): 472–73. http://dx.doi.org/10.1093/ije/19.2.472.

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Sutton, G. R., and B. J. Moore. "Velocity modelling using a generalized linear inversion technique." Exploration Geophysics 16, no. 2-3 (1985): 287–88. http://dx.doi.org/10.1071/eg985287.

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Yunus, Rossita M., Masud M. Hasan, Nuradhiathy A. Razak, Yong Z. Zubairi, and Peter K. Dunn. "Modelling daily rainfall with climatological predictors: Poisson-gamma generalized linear modelling approach." International Journal of Climatology 37, no. 3 (2016): 1391–99. http://dx.doi.org/10.1002/joc.4784.

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Dissertations / Theses on the topic "Generalized Linear Modelling"

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Schnatter, Sylvia. "Integration-based Kalman-filtering for a Dynamic Generalized Linear Trend Model." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1991. http://epub.wu.ac.at/424/1/document.pdf.

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The topic of the paper is filtering for non-Gaussian dynamic (state space) models by approximate computation of posterior moments using numerical integration. A Gauss-Hermite procedure is implemented based on the approximate posterior mode estimator and curvature recently proposed in 121. This integration-based filtering method will be illustrated by a dynamic trend model for non-Gaussian time series. Comparision of the proposed method with other approximations ([15], [2]) is carried out by simulation experiments for time series from Poisson, exponential and Gamma distributions. (author's abst
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Nargis, Suraiya, and n/a. "Robust methods in logistic regression." University of Canberra. Information Sciences & Engineering, 2005. http://erl.canberra.edu.au./public/adt-AUC20051111.141200.

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My Masters research aims to deepen our understanding of the behaviour of robust methods in logistic regression. Logistic regression is a special case of Generalized Linear Modelling (GLM), which is a powerful and popular technique for modelling a large variety of data. Robust methods are useful in reducing the effect of outlying values in the response variable on parameter estimates. A literature survey shows that we are still at the beginning of being able to detect extreme observations in logistic regression analyses, to apply robust methods in logistic regression and to present informativel
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Mallya, Shruti. "Modelling Human Risk of West Nile Virus Using Surveillance and Environmental Data." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35734.

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Limited research has been performed in Ontario to ascertain risk factors for West Nile Virus (WNV) and to develop a unified risk prediction strategy. The aim of the current body of work was to use spatio-temporal modelling in conjunction with surveillance and environmental data to determine which pre-WNV season factors could forecast a high risk season and to explore how well mosquito surveillance data could predict human cases in space and time during the WNV season. Generalized linear mixed modelling found that mean minimum monthly temperature variables and annual WNV-positive mosquito pools
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Charalambous, Christiana. "Variable selection in joint modelling of mean and variance for multilevel data." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html.

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We propose to extend the use of penalized likelihood based variable selection methods to hierarchical generalized linear models (HGLMs) for jointly modellingboth the mean and variance structures. We are interested in applying these newmethods on multilevel structured data, hence we assume a two-level hierarchical structure, with subjects nested within groups. We consider a generalized linearmixed model (GLMM) for the mean, with a structured dispersion in the formof a generalized linear model (GLM). In the first instance, we model the varianceof the random effects which are present in the mean
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Carreira, Inês Duarte. "Modelling dependence between frequency and severity of insurance claims." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14631.

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Mestrado em Actuarial Science<br>A estimação da perda individual é uma importante tarefa para calcular os preços das apólices de seguro. A abordagem padrão assume independência entre a frequência e a severidade dos sinistros, o que pode não ser uma suposição realística. Neste texto, a dependência entre números e montantes de sinistros é explorada, num contexto de Modelos Lineares Generalizados. Um modelo de severidade condicional e um modelo de Cópula são apresentados como alternativas para modelar esta dependência e posteriormente aplicados a um conjunto de dados fornecido por uma seguradora
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Creegan, Helen P. "Modelling the effects of changing habitat characteristics and spatial pattern on woodland songbird distributions in West and Central Scotland." Thesis, University of Stirling, 2005. http://hdl.handle.net/1893/48.

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This study investigated bird distributions in relation to local habitat and landscape pattern and the implications which habitat fragmentation may have for woodland birds. There were two sections to the research: an experimental study investigating bird gap crossing behaviour across distances of five to 120m; and an observational study modelling woodland bird distributions in relation to local habitat and landscape scale variables in two study areas (East Loch Lomond and the Central Scotland Forest). In the experimental study it was hypothesised that bird willingness to cross gaps will decreas
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Hardin, Patrik, and Sam Tabari. "Modelling Non-life Insurance Policyholder Price Sensitivity : A Statistical Analysis Performed with Logistic Regression." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209773.

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This bachelor thesis within mathematical statistics studies the possibility of modelling the renewal probability for commercial non-life insurance policyholders. The project was carried out in collaboration with the non-life insurance company If P&amp;C Insurance Ltd. at their headquarters in Stockholm, Sweden. The paper includes an introduction to underlying concepts within insurance and mathematics and a detailed review of the analytical process followed by a discussion and conclusions. The first stages of the project were the initial collection and processing of explanatory insurance data a
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Frühwirth-Schnatter, Sylvia. "Applied State Space Modelling of Non-Gaussian Time Series using Integration-based Kalman-filtering." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1993. http://epub.wu.ac.at/1558/1/document.pdf.

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The main topic of the paper is on-line filtering for non-Gaussian dynamic (state space) models by approximate computation of the first two posterior moments using efficient numerical integration. Based on approximating the prior of the state vector by a normal density, we prove that the posterior moments of the state vector are related to the posterior moments of the linear predictor in a simple way. For the linear predictor Gauss-Hermite integration is carried out with automatic reparametrization based on an approximate posterior mode filter. We illustrate how further topics in applied state
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Aarts, Geert. "Modelling space-use and habitat preference from wildlife telemetry data." Thesis, St Andrews, 2007. http://hdl.handle.net/10023/327.

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Stephenson, John. "Multilevel generalised linear modelling and competing risks multistate survival analysis modelling of childhood caries." Thesis, Cardiff University, 2009. http://eprints.hud.ac.uk/7910/.

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There has been an ongoing debate regarding appropriate strategies for the management of carious primary teeth. Studies appear to provide evidence that both selective, symptom-based interventions and traditional restorative strategies are advantageous. However, the analysis and quantification of childhood caries may be affected by clustering of data, and the concurrent risk of exfoliation of primary teeth. Multilevel generalised linear models for the occurrence of primary caries were derived utilising data from a cohort study of 2,654 children aged 4-5 years at baseline undertaken 1999-2003. Th
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Books on the topic "Generalized Linear Modelling"

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Fahrmeir, L. Multivariate statistical modelling based on generalized linear models. Springer-Verlag, 1994.

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Fahrmeir, Ludwig, and Gerhard Tutz. Multivariate Statistical Modelling Based on Generalized Linear Models. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4899-0010-4.

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Fahrmeir, Ludwig, and Gerhard Tutz. Multivariate Statistical Modelling Based on Generalized Linear Models. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3454-6.

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Stevan, Pilipović, and Scarpalézos D, eds. The linear theory of Colombeau generalized functions. Longman, 1998.

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Adejumo, Adebowale Olusola. Modelling generalized linear (loglinear) models for raters agreement measure: With complete and missing values cases. Peter Lang, 2006.

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(Editor), Brian Francis, Mick Green (Editor), and Clive Payne (Editor), eds. The GLIM System: Release 4 Manual (Generalized Linear Interactive Modelling). Oxford University Press, USA, 1993.

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(Assistant), W. Hennevogl, ed. Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics). Springer, 2001.

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Nedeljkov, M., S. Pilipovic, and D. Scarpalezos. Linear Theory of Colombeau Generalized Functions (Research Notes in Mathematics Series). Chapman & Hall/CRC, 1998.

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Modelling Generalized Linear-loglinear Models for Raters Agreement Measure: With Complete And Missing Values Cases (Anwendungsorientierte Statistik). Peter Lang Publishing, 2005.

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Modelling Generalized Linear-loglinear Models for Raters Agreement Measure: With Complete And Missing Values Cases (Anwendungsorientierte Statistik, Bd. 9). Peter Lang Publishing, 2005.

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Book chapters on the topic "Generalized Linear Modelling"

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McCullagh, P., and J. A. Nelder. "Joint modelling of mean and dispersion." In Generalized Linear Models. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-3242-6_10.

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Quicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "More generalized linear modelling." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0171.

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Abstract This chapter employs generalized linear modelling using the function glm when we know that variances are not constant with one or more explanatory variables and/or we know that the errors cannot be normally distributed, for example, they may be binary data, or count data where negative values are impossible, or proportions which are constrained between 0 and 1. A glm seeks to determine how much of the variation in the response variable can be explained by each explanatory variable, and whether such relationships are statistically significant. The data for generalized linear models take the form of a continuous response variable and a combination of continuous and discrete explanatory variables.
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Quicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "More generalized linear modelling." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0015.

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Abstract This chapter employs generalized linear modelling using the function glm when we know that variances are not constant with one or more explanatory variables and/or we know that the errors cannot be normally distributed, for example, they may be binary data, or count data where negative values are impossible, or proportions which are constrained between 0 and 1. A glm seeks to determine how much of the variation in the response variable can be explained by each explanatory variable, and whether such relationships are statistically significant. The data for generalized linear models take the form of a continuous response variable and a combination of continuous and discrete explanatory variables.
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Longford, N. T. "Statistical Modelling of Data from Hierarchical Structures Using Variance Component Analysis." In Generalized Linear Models. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-7070-7_12.

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Verbeek, Albert. "The compactification of generalized linear models." In Statistical Modelling. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3680-1_36.

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Wixley, R. A. J. "Uses of Power Transformation in Generalized Linear Modeling." In Statistical Modelling. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3680-1_37.

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Wortha, H. P. "MIVA: An Alternative Method to Generalized Linear Models." In Statistical Modelling. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3680-1_38.

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Cole, Michael J., and John W. McDonald. "Bootstrap Goodness-of-Link Testing in Generalized Linear Models." In Statistical Modelling. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3680-1_10.

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Carroll, Raymond J., Xihong Lin, and Naisyin Wang. "Generalized Linear Mixed Measurement Error Models." In Modelling Longitudinal and Spatially Correlated Data. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0699-6_28.

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Eilers, Paul H. C., and Brian D. Marx. "Generalized Linear Models with P-splines." In Advances in GLIM and Statistical Modelling. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2952-0_12.

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Conference papers on the topic "Generalized Linear Modelling"

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"Statistical downscaling of extreme rainfall from CMIP5 in the Onkaparinga catchment using a generalized linear model." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l5.rashid.

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de Faverges, M. M., G. Russolillo, C. Picouleau, B. Merabet, and B. Houzel. "Modelling passenger train arrival delays with Generalized Linear Models and its perspective for scheduling at main stations." In 8th International Conference on Railway Engineering (ICRE 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.0049.

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Landmann, Tobias, Olena Dubovyk, Gohar Ghazaryan, Jackson Kimani, and Elfatih Abdel-Rahman. "Wide-area mapping of invasive species propagation and containment zones in somaliland using phenometric trends and generalized linear modelling." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127149.

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Rahimi, H. N., M. H. Korayem, and A. Nikoobin. "Optimal Motion Planning of Manipulators With Elastic Links and Joints in Generalized Point-to-Point Task." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87759.

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Finding optimal trajectory is critical in several applications for robots from payload transport between two given states in a prescribed time such that a cost functional is minimized. This paper is concerned with the path planning of flexible robotic arms in point-to-point motion, based on indirect solution of optimal control problem. Dynamic modelling technique based on the combined Euler–Lagrange formulation and assumed modes method is applied, then by implementing the Pontryagin’s minimum principle; necessary conditions for optimality are derived. Nonlinear states and control constraints a
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Combes, J. F., J. P. Chabard, and B. Metivet. "3D Flow Analysis in a Linear Cascade Using a Navier-Stokes Finite Element Code." In ASME 1990 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/90-gt-302.

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In order to solve industrial flow problems in complex geometries, a finite element code, N3S, has been developped at Electricité de France. For an incompressible unsteady flow, the Reynolds-averaged Navier-Stokes equations, with a k-ε turbulence modelling, are split into a set of equations for transport, for diffusion and a Generalized Stokes Problem. In this paper, we briefly describe the algorithms chosen to solve each step, the k-ε treatment and the boundary conditions (wall functions). We present also the results of a flow calculation in a linear cascade at normal and high incidence and co
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Krodkiewski, Janusz M., and Gregory J. Davies. "Modelling a New Three-Pad Active Bearing." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-54322.

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This paper describes investigations into a new type of active bearing to be implemented in the field of rotating machinery. Active bearings are based on the concept that journal oil flow can be modified during operation by active devices. Here, the concepts of the flexible pads and the oil-filled chambers that control their deflection are used. Three active pads are positioned around the journal with three oil-filled chambers positioned behind them. One of them, the load-bearing pad located at the bottom of the bearing, acts as a passive device and is equipped with a very thin film chamber, wh
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"Generalised linear model and analysis of cereal plant biomass." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.b1.cespedes.

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Combourieu, Adrien, Maxime Philippe, François Rongère, and Aurélien Babarit. "InWave: A New Flexible Design Tool Dedicated to Wave Energy Converters." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24564.

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This article presents the novel methodology used in the software InWave to address the problem of wave energy converters (WEC) modelling. The originality compared to other recently developed tools lies in a fast semi-recursive multibody dynamic solver which integrates a flexible hydrodynamic solver. The multibody solver works in time domain and is fully nonlinear. It solves the dynamic of systems formed of a fixed or free base articulated with any number of bodies that can be floating or not, with branchy structure ([1]). The integrated hydrodynamic solver is a linear potential flow solver bas
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Habchi, W., D. Eyheramendy, S. Bair, P. Vergne, and G. Morales-Espejel. "A Finite Element Approach of the Fully Coupled Elastohydrodynamic Problem." In ASME/STLE 2007 International Joint Tribology Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ijtc2007-44200.

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Up to now, most of the numerical works dealing with the modelling of the isothermal elastohydrodynamic problem were based on a weak coupling resolution of the Reynolds and elasticity equations (semi-system approach). The latter were solved separately using a Finite Difference discretization. Very few authors attempted to solve the problem in a fully coupled way, thus solving both equations simultaneously (full-system approach). These attempts suffered from a major drawback which is the almost full Jacobian matrix of the non-linear system of equations. This work presents a new approach for solv
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Kidikian, John, and Marcelo Reggio. "Off-Design Prediction of Transonic Axial Compressors: Part 2 — Generalized Mean-Line Loss Modelling Methodology." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75125.

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In Part 1, of this two-part paper, an off-design mean-line code and a generalized methodology to obtain “tuning” factors were presented. It was shown that the modified factors were capable of predicting the off-design performance of four well documented NASA transonic axial compressors. In this paper, Part 2, a generalized methodology to create correlations for the rotor and stator total pressure losses, deviation angles, and blade row inlet and exit blockage factors is presented. The generalized mean-line loss modelling methodology will allow the compressor designer to decommission the use of
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