Relevant bibliographies by topics / Limit models

Academic literature on the topic 'Limit models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Limit models"

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Brunelli, J. C. "Dispersionless limit of integrable models." Brazilian Journal of Physics 30, no. 2 (June 2000): 455–68. http://dx.doi.org/10.1590/s0103-97332000000200030.

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Maslin, Mark, and Patrick Austin. "Climate models at their limit?" Nature 486, no. 7402 (June 2012): 183–84. http://dx.doi.org/10.1038/486183a.

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Dezani-Ciancaglini, Mariangiola, Silvia Ghilezan, and Silvia Likavec. "Behavioural inverse limit λ-models." Theoretical Computer Science 316, no. 1-3 (May 2004): 49–74. http://dx.doi.org/10.1016/j.tcs.2004.01.023.

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BONORA, L., and C. S. XIONG. "MATRIX MODELS WITHOUT SCALING LIMIT." International Journal of Modern Physics A 08, no. 17 (July 10, 1993): 2973–92. http://dx.doi.org/10.1142/s0217751x93001211.

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In the context of Hermitian one-matrix models we show that the emergence of the NLS hierarchy and of its reduction, the KdV hierarchy, is an exact result of the lattice characterizing the matrix model. Said otherwise, we are not obliged to take a continuum limit to find these hierarchies. We interpret this result as an indication of the topological nature of them. We discuss the topological field theories associated with both and discuss the connection with topological field theories coupled to topological gravity already studied in the literature.
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Williams, Steven R. "Models of Limit Held by College Calculus Students." Journal for Research in Mathematics Education 22, no. 3 (May 1991): 219–36. http://dx.doi.org/10.5951/jresematheduc.22.3.0219.

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This study documents 10 college students' understanding of the limit concept and the factors affecting changes in that understanding. Common informal models of limit were identified among the 10 students, who were then presented with alternative models of limit and with anomalous limit problems. The problems were designed to encourage students to make changes in their own models to reflect a more formal conception. Individual models of limit varied widely even among students who initially described limits in similar ways. The dynamic aspect of these models was extremely resistant to change. This resistance was influenced by students' belief in the a priori existence of graphs, their prior experiences with graphs of simple functions, the value they put on conceptually simple and practically useful models, and their tendency to view anomalous problems as minor exceptions to rules. These factors combined to inhibit students' motivation to adopt a formal view of limit.
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Puchuri, Liliana. "Limit Cycles in Predator-Prey Models." Selecciones Matemáticas 4, no. 1 (June 30, 2017): 70–81. http://dx.doi.org/10.17268/sel.mat.2017.01.08.

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Yamada, Keigo. "Limit theorems for jump shock models." Journal of Applied Probability 26, no. 4 (December 1989): 793–806. http://dx.doi.org/10.2307/3214384.

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We consider an additive shock process where shocks occur according to a Poisson point process and they are accumulated in an appropriate way to the damage. It is shown that suitably normalized shock processes converge weakly to a process which is represented as a sum of a stable process and a deterministic process.
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Surgailis, D. "The thermodynamic limit of polygonal models." Acta Applicandae Mathematicae 22, no. 1 (January 1991): 77–102. http://dx.doi.org/10.1007/bf00047652.

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Bean, Nigel G., Małgorzata M. O’Reilly, and Zbigniew Palmowski. "Yaglom limit for stochastic fluid models." Advances in Applied Probability 53, no. 3 (September 2021): 649–86. http://dx.doi.org/10.1017/apr.2020.71.

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AbstractIn this paper we analyse the limiting conditional distribution (Yaglom limit) for stochastic fluid models (SFMs), a key class of models in the theory of matrix-analytic methods. So far, only transient and stationary analyses of SFMs have been considered in the literature. The limiting conditional distribution gives useful insights into what happens when the process has been evolving for a long time, given that its busy period has not ended yet. We derive expressions for the Yaglom limit in terms of the singularity˜$s^*$ such that the key matrix of the SFM, ${\boldsymbol{\Psi}}(s)$, is finite (exists) for all $s\geq s^*$ and infinite for $s<s^*$. We show the uniqueness of the Yaglom limit and illustrate the application of the theory with simple examples.
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Wachter, Kenneth W., and Ronald D. Lee. "U.S. Births and Limit Cycle Models." Demography 26, no. 1 (February 1989): 99. http://dx.doi.org/10.2307/2061497.

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Dissertations / Theses on the topic "Limit models"

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Calhoun, Grayson Ford. "Limit theory for overfit models." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3359804.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed July 23, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 104-109).
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Andersson, Håkan. "Limit theorems for some stochastic epidemic models." Stockholm : Stockholm University, 1994. http://catalog.hathitrust.org/api/volumes/oclc/40258819.html.

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Odero, Geophrey Otieno Mr. "Limit Cycles and Dynamics of Rumor Models." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etd/1236.

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This thesis discusses limit cycles and behavior of rumor models. The first part presents the deterministic Daley-Kendall model (DK) with arrivals and departures and comparison of the Susceptibles, Infectives and Removed (SIR) model and the DK model. The second result is a part of the qualitative analysis and the general behavior of extension of the Daley-Kendall model. Here we discuss how the halting rate of spreaders causes the model to change from a stable equilibrium or a stable limit cycle. In the third part we carry out model validation and use both synthetic data and real data sets and fit them to the numerical solutions of the extended Daley-Kendall model. Finally, we find the parameter estimates and standard errors. In this way we shall be able to decide whether the numerical solutions quantifying the relationships between the variables obtained from the qualitative analysis can be accepted as the best description of the data. We discuss sensitivity analysis results and traditional sensitivity functions.
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Persson, Jonas. "Strings as Sigma Models and in the Tensionless Limit." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7783.

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Gao, Xuefeng. "Stochastic models for service systems and limit order books." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50238.

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Stochastic fluctuations can have profound impacts on engineered systems. Nonetheless, we can achieve significant benefits such as cost reduction based upon expanding our fundamental knowledge of stochastic systems. The primary goal of this thesis is to contribute to our understanding by developing and analyzing stochastic models for specific types of engineered systems. The knowledge gained can help management to optimize decision making under uncertainty. This thesis has three parts. In Part I, we study many-server queues that model large-scale service systems such as call centers. We focus on the positive recurrence of piecewise Ornstein-Uhlenbeck (OU) processes and the validity of using these processes to predict the steady-state performance of the corresponding many-server queues. In Part II, we investigate diffusion processes constrained to the positive orthant under infinitesimal changes in the drift. This sensitivity analysis on the drift helps us understand how changes in service capacities at individual stations in a stochastic network would affect the steady-state queue-length distributions. In Part III, we study the trading mechanism known as limit order book. We are motivated by a desire to better understand the interplay among order flow rates, liquidity fluctuation, and optimal executions. The goal is to characterize the temporal evolution of order book shape on the “macroscopic” time scale.
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Meurer, Anne [Verfasser]. "Interacting Particle Models with their Limit Equations / Anne Meurer." München : Verlag Dr. Hut, 2016. http://d-nb.info/1120763983/34.

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Visram, Abeed. "Asymptotic limit analysis for numerical models of atmospheric frontogenesis." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/23219.

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Accurate prediction of the future state of the atmosphere is important throughout society, ranging from the weather forecast in a few days time to modelling the effects of a changing climate over decades and generations. The equations which govern how the atmosphere evolves have long been known; these are the Navier-Stokes equations, the laws of thermodynamics and the equation of state. Unfortunately the nonlinearity of the equations prohibits analytic solutions, so simplified models of particular flow phenomena have historically been, and continue to be, used alongside numerical models of the full equations. In this thesis, the two-dimensional Eady model of shear-driven frontogenesis (the creation of atmospheric fronts) was used to investigate how errors made in a localised region can affect the global solution. Atmospheric fronts are the boundary of two different air masses, typically characterised by a sharp change in air temperature and wind direction. This occurs across a small length of O(10 km), whereas the extent of the front itself can be O(1000 km). Fronts are a prominent feature of mid-latitude weather systems and, despite their narrow width, are part of the large-scale, global solution. Any errors made locally in the treatment of fronts will therefore affect the global solution. This thesis uses the convergence of the Euler equations to the semigeostrophic equations, a simplified model which is representative of the large-scale flow, including fronts. The Euler equations were solved numerically using current operational techniques. It was shown that highly predictable solutions could be obtained, and the theoretical convergence rate maintained, even with the presence of near-discontinuous solutions given by intense fronts. Numerical solutions with successively increased resolution showed that the potential vorticity, which is a fundamental quantity in determining the large-scale, balanced flow, approached the semigeostrophic limit solution. Regions of negative potential vorticity, indicative of local areas of instability, were reduced at high resolution. In all cases, the width of the front reduced to the grid-scale. While qualitative features of the limit solution were reproduced, a stark contrast in amplitude was found. The results of this thesis were approximately half in amplitude of the limit solution. Some attempts were made at increasing the intensity of the front through spatial- and temporal-averaging. A scheme was proposed that conserves the potential vorticity within the Eady model.
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So, Mee Chi. "Optimizing credit limit policy by Markov decision process models." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/68761/.

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Credit cards have become an essential product for most consumers. Lenders have recognized the profit that can be achieved from the credit card market and thus they have introduced different credit cards to attract consumers. Thus, the credit card market has undergone keen competition in recent years. Lenders realize their operation decisions are crucial in determining how much pofit is achieved from a card. This thesis focuses on the most well-known operating policy: the management of credit limit. Lenders traditionally applied static decision models to manage the credit limit of credit card accounts. A growing number of lenders though want improved models so as to monitor the long-term risk and return of credit card borrowers. This study aims to use Markov Decision Process, which is a well-developed sequential decision model, to adjust the credit limit of current credit card accounts. The behavioural score, which is the way of assessing credit card holder's default risk in the next year, is used as the key parameter to monitor the risk of every individual account. The model formulation and the corresponding application techniques, such as state coarse-classication, choice of Markovity order, are discussed in this thesis. One major concern of using Markov Decision Process model is the small sample size in certain states. In general credit card lenders have lots of data. However, there may be no examples in the data of transitions from certain states to default, particularly for those high quality credit card accounts. If one simply uses zero to estimate these states' transition probabilities, this leads to apparent 'structural zeros' states which change the connectedness of the dynamics in the state space. A method is developed in this thesis to overcome such problems in real applications. The economy and retail credit risk are highly correlated and so one key focus of this study is to look at the interaction between credit card behavioural score migrations and the economy. This study uses dierent credit card datasets, one from Hong Kong and one from United Kingdom, to examine the impact of economy on the credit card borrowers' behaviour. The economies in these two areas were dierent during the sampling period. Based on these empirical ndings, this study has generalized the use of macroeconomic measurements in the credit limit models. This thesis also proposed segmenting the credit card accounts by the accounts' repayment patterns. The credit card population in general can be segmented into Transactors or Revolvers. Empirical ndings show the impact of economy are signicantly different for Transactors and Revolvers. This study provides a detailed picture of the application of Markov Decision Process models in adjusting the credit limit of credit card accounts.
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Liu, Ying, and 劉影. "Limit equilibrium methods for slope stability analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576684.

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Pilipauskaité, Vytauté. "Limit theorems for spatio-temporal models with long-range dependence." Thesis, Nantes, 2017. http://www.theses.fr/2017NANT4057/document.

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Les travaux de la thèse portent sur les théorèmes limites pour des modèles stochastiques à forte dépendance. Dans la première partie, nous considérons des modèles AR(1) à coefficient aléatoire. Nous identifions trois régimes asymptotiques différents pour le schéma d’agrégation conjointe temporelle-contemporaine lorsque les processus AR sont indépendants et lorsque les AR possède des innovations communes. Ensuite, on discute de l’estimation non paramétrique de la fonction de répartition du coefficient autorégressif à partir d’un panel de séries AR(1) à coefficient aléatoire. Nous prouvons la convergence faible du processus empirique basé sur des estimations des coefficients autorégressifs non observables vers un pont brownien généralisé. Ce résultat est ensuite appliqué pour valider différents outils d’inférence statistique à partir des données du panel AR(1). Dans la deuxième partie de la thèse, nous nous concentrons sur les modèles spatiaux en dimension 2. Nous considérons des champs aléatoires construits à partir des polynômes Appell et de champs aléatoires linéaires. Pour ce modèle non linéaire, nous étudions la limite de ses sommes partielles normalisées prises sur des rectangles et prouvons l’existence d’une transition d’échelle. Enfin, nous abordons la même question pour le modèle de germes-grains aléatoire. Nous mettons en évidence l’existence de deux points de transition dans les limites de ces modèles
The thesis is devoted to limit theorems for stochastic models with long-range dependence. We first consider a random-coefficient AR(1) process, which can have long memory provided the distribution of autoregressive coefficient concentrates near the unit root. We identify three different limit regimes in the scheme of joint temporal-contemporaneous aggregation for independent copies of random-coefficient AR(1) process and for its copies driven by common innovations. Next, we discuss nonparametric estimation of the distribution of the autoregressive coefficient given multiple random-coefficient AR(1) series. We prove the weak convergence of the empirical process based on estimates of unobservable autoregressive coefficients to a generalized Brownian bridge and apply this result to draw statistical inference from panel AR(1) data. In the second part of the thesis we focus on spatial models in dimension 2. We define a nonlinear random field as the Appell polynomial of a linear random field with long-range dependence. For the nonlinear random field, we investigate the limit of its normalized partial sums over rectangles and prove the existence of scaling transition. Finally, we study such like scaling of the random grain model and obtain two-change points in its limits
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Books on the topic "Limit models"

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Lo, Andrew W. Econometric models of limit-order executions. Cambridge, MA: National Bureau of Economic Research, 1997.

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1937-, Arnold L., and Kotelenez P. 1943-, eds. Stochastic space-time models and limit theorems. Dordrecht: D. Reidel Pub. Co., 1985.

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Arnold, L., and P. Kotelenez, eds. Stochastic Space—Time Models and Limit Theorems. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5390-1.

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Price, Katie. Jordan: Pushed to the limit. London: Century, 2008.

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Probability metrics and the stability of stochastic models. Chichester: Wiley, 1991.

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Church, Jeffrey. The role of limit pricing in sequential entry models. Kingston, Ont: Institute for Economic Research, Queen's University, 1991.

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Church, Jeffrey. The role of limit pricing in sequential entry models. Kingston, Ont: Institute for Economic Research, Queen's University, 1991.

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Lo, Ingrid. Order submission: The choice between limit and market orders. Ottawa: Bank of Canada, 2005.

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Donnenfeld, Shabtai. Limit qualities and entry deterrence. Toronto: York University, 1992.

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Peters, Michael. Limit equilibria for problems where sellers compete in mechanisms. Toronto: Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1993.

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Book chapters on the topic "Limit models"

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Pötscher, Benedikt M., and Ingmar R. Prucha. "Central Limit Theorems." In Dynamic Nonlinear Econometric Models, 99–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03486-6_10.

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Novozhilov, Igor V. "Correctness of limit models." In Fractional Analysis, 137–222. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-4130-0_6.

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Buraczewski, Dariusz, Ewa Damek, and Thomas Mikosch. "Univariate Limit Theory." In Stochastic Models with Power-Law Tails, 79–135. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29679-1_3.

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Frigg, Roman. "Limit Idealisations and Factor Exclusions." In Models and Theories, 333–60. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003285106-16.

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Pötscher, Benedikt M., and Ingmar R. Prucha. "Approximation Concepts and Limit Theorems." In Dynamic Nonlinear Econometric Models, 45–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03486-6_6.

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Baldwin, John. "Special, limit and saturated models." In Categoricity, 75–81. Providence, Rhode Island: American Mathematical Society, 2009. http://dx.doi.org/10.1090/ulect/050/10.

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Koski, Timo. "Limit Points of Baum-Welch." In Hidden Markov Models for Bioinformatics, 345–66. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0612-5_16.

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Ney, Peter, and Esa Nummelin. "Some limit theorems for Markov additive processes." In Semi-Markov Models, 3–12. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-0574-1_1.

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Andersson, Håkan, and Tom Britton. "The threshold limit theorem." In Stochastic Epidemic Models and Their Statistical Analysis, 27–37. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1158-7_4.

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Grigelionis, B., and R. Mikulevičius. "On the Functional Limit Theorems." In Stochastic Space—Time Models and Limit Theorems, 191–215. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5390-1_10.

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Conference papers on the topic "Limit models"

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Bouattia, Y., A. Makhlouf, Alberto Cabada, Eduardo Liz, and Juan J. Nieto. "Limit cycles of generalized Liénard systems." In MATHEMATICAL MODELS IN ENGINEERING, BIOLOGY AND MEDICINE: International Conference on Boundary Value Problems: Mathematical Models in Engineering, Biology and Medicine. AIP, 2009. http://dx.doi.org/10.1063/1.3142954.

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Anandkumar, Animashree, Joseph Yukich, and Alan Willsky. "Limit laws for random spatial graphical models." In 2010 IEEE International Symposium on Information Theory - ISIT. IEEE, 2010. http://dx.doi.org/10.1109/isit.2010.5513254.

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Dey, Shubhamoy. "Credit limit management using action-effect models." In 2010 International Conference on Financial Theory and Engineering (ICFTE). IEEE, 2010. http://dx.doi.org/10.1109/icfte.2010.5499415.

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Sharipov, Sadillo O. "Central limit theorem for branching process with immigration." In INTERNATIONAL UZBEKISTAN-MALAYSIA CONFERENCE ON “COMPUTATIONAL MODELS AND TECHNOLOGIES (CMT2020)”: CMT2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0057214.

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McKelvey, Sean, Shiping Zhang, Eniyavan Subramanian, and Yung-Li Lee. "Review and Assessment of Multiaxial Fatigue Limit Models." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-0192.

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Leonetti, Leonardo, Giovanni Garcea, and Hung Nguyen-Xuan. "COMPOSITE FEM MODELS FOR LIMIT AND SHAKEDOWN ANALYSIS." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.2009.7530.

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Formanov, Shakir, Bikajon Khusainova, and Abdulhamid Sirozhitdinov. "On the numerical characteristics in the central limit theorem." In INTERNATIONAL UZBEKISTAN-MALAYSIA CONFERENCE ON “COMPUTATIONAL MODELS AND TECHNOLOGIES (CMT2020)”: CMT2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0058101.

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Mukhamedov, Abdurakhman. "Central limit theorem and invariance principle for associated random fields." In INTERNATIONAL UZBEKISTAN-MALAYSIA CONFERENCE ON “COMPUTATIONAL MODELS AND TECHNOLOGIES (CMT2020)”: CMT2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0056874.

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Creasey, Roy R., K. Preston White, Linda B. Wright, and Cheryl F. Davis. "Comparison of bayesian priors for highly reliable limit models." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736076.

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GAIKO, VALERY A. "LIMIT CYCLE BIFURCATIONS IN POLYNOMIAL MODELS OF DYNAMICAL SYSTEMS." In Proceedings of the 3rd ISAAC Congress. World Scientific Publishing Company, 2003. http://dx.doi.org/10.1142/9789812794253_0060.

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Reports on the topic "Limit models"

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Lo, Andrew, A. Craig MacKinlay, and June Zhang. Econometric Models of Limit-Order Executions. Cambridge, MA: National Bureau of Economic Research, November 1997. http://dx.doi.org/10.3386/w6257.

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Dowell, Earl H. Limit Cycle Oscillations (LCO) and Nonlinear Aeroelastic Response: Reduced Order Models. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada389366.

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Dowell, Earl H. Limit Cycle Oscillations (LCO) and Nonlinear Aeroelastic Wing Response: Reduced Order Aerodynamic Models. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada362982.

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McMartin, I., M. S. Gauthier, and A. V. Page. Updated post-glacial marine limits along western Hudson Bay, central mainland Nunavut and northern Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330940.

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A digital compilation of updated postglacial marine limits was completed in the coastal regions of central mainland Nunavut and northern Manitoba between Churchill and Queen Maud Gulf. The compilation builds on and updates previous mapping of the marine limits at an unprecedented scale, making use of high-resolution digital elevation models, new field-based observations of the marine limit and digital compilations of supporting datasets (i.e. marine deltas and marine sediments). The updated mapping also permits a first-hand, knowledgedriven interpolation of a continuous limit of marine inundation linking the Tyrrell Sea to Arctic Ocean seawaters. The publication includes a detailed description of the mapping methods, a preliminary interpretation of the results, and a GIS scalable layout map for easy access to the various layers. These datasets and outputs provide robust constraints to reconstruct the patterns of ice retreat and for glacio-isostatic rebound models, important for the estimation of relative sea level changes and impacts on the construction of nearshore sea-transport infrastructures. They can also be used to evaluate the maximum extent of marine sediments and associated permafrost conditions that can affect land-based infrastructures, and potential secondary processes related to marine action in the surficial environment and, therefore, can enhance the interpretation of geochemical anomalies in glacial drift exploration methods. A generalized map of the maximum limit of postglacial marine inundation produced for map representation and readability also constitutes an accessible output relevant to Northerners and other users of geoscience data.
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Sweeney, Lisa M. Evaluation of Pharmacokinetic Models for the Disposition of Lead (Pb) in Humans, in Support of Application to Occupational Exposure Limit Derivation. Fort Belvoir, VA: Defense Technical Information Center, November 2015. http://dx.doi.org/10.21236/ad1000455.

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Tomas, Ignacio, John Shadid, Matthias Maier, and Abner Salgado. Final report of activities for the LDRD-CIS project #226834 titled: ?Asymptotic preserving methods for fluid electron-fluid models in the large magnetic field limit with mathematically guaranteed properties?. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1872178.

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McKinnon, Mark, and Daniel Madryzkowski. Literature Review to Support the Development of a Database of Contemporary Material Properties for Fire Investigation Analysis. UL Firefighter Safety Research Institute, June 2020. http://dx.doi.org/10.54206/102376/wmah2173.

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The NIJ Technology Working Group’s Operational Requirements (TWG ORs) for Fire and Arson Investigation have included several scientific research needs that require knowledge of the thermophysical properties of materials that are common in the built environment, and therefore likely to be involved in a fire scene. The specific areas of research include: adequate materials property data inputs for accurate computer models, understanding the effect of materials properties on the development and interpretation of fire patterns, and evaluation of incident heat flux profiles to walls and neighboring items in support of fire model validation. These topics certainly address, in a concise way, many of the gaps that limit the analysis capability of fire investigators and engineers. Each of the three aforementioned research topics rely, in part, on accurate knowledge of the physical conditions of a material prior to the fire, how the material will respond to the exposure of heat, and how it will perform once it has ignited. This general information is required to visually assess a fire scene. The same information is needed by investigators to estimate the evolution and consequences of a fire incident using a computer model. Data sources that are currently most commonly used to determine the required properties and model inputs are outdated and incomplete. This report includes the literature review used to provide a technical approach to developing a materials database for use in fire investigations and computational fire models. A summary of the input from the project technical panel is presented which guided the initial selection of materials to be included in the database as well as the selection of test measurements.
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8

Szabo, Richard J. Matrix Models, Large N Limits and Noncommutative Solitons. Journal of Geometry and Symmetry in Physics, 2012. http://dx.doi.org/10.7546/jgsp-7-2006-85-106.

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9

Bagarello, Fabio. The Stochastic Limit of the Open BCS Model of Superconductivity. Journal of Geometry and Symmetry in Physics, 2012. http://dx.doi.org/10.7546/jgsp-6-2006-3-10.

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10

Celhay, Pablo, Marcela Distrutti, Sebastian Martinez, Indhira Ramírez, and Kathya Tapia. Efectos del modelo de financiamiento basado en resultados en República Dominicana sobre los indicadores de salud. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0003774.

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Los modelos de financiamiento basado en resultados (FBR) en salud vinculan el financiamiento de los proveedores de servicios a resultados de cobertura y/o calidad en la asistencia sanitaria, con el fin de mejorar la salud de la población. República Dominicana ha implementado un modelo de FBR en la atención primaria desde el año 2010. Este documento presenta la evaluación de la expansión del modelo de FBR en cinco regiones del país entre 2014 y 2018. Métodos: Los coeficientes de cambio en tendencias fueron estimados a través de análisis de series de tiempo interrumpidas y modelos de efectos fijos. El alcance del análisis se limitó a indicadores de vacunación en mujeres embarazadas y niños menores de un año y de insuficiencia respiratoria.
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