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Relevant bibliographies by topics / Pareto

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Academic literature on the topic 'Pareto'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2024

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Journal articles on the topic "Pareto"

1

Wei, Xin. "Multi-Objective Optimization Base on Incremental Pareto Fitness." Advanced Materials Research 1030-1032 (September 2014): 1733–36. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1733.

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A new multi-objective optimization algorithm based on incrementally Pareto fitness is proposed in this paper. To overcome the directly calculate the Pareto fitness matrix expensively, we adopt to make full use of information of last iteration at each stept to update the Parteto fitness matrix gradually. Experiments proved the highest efficiency of the new method.

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Mornati, Fiorenzo. "Pareto Optimality in the work of Pareto." Revue européenne des sciences sociales, no. 51-2 (December 15, 2013): 65–82. http://dx.doi.org/10.4000/ress.2517.

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Németh, A. B. "Between Pareto efficiency and Pareto ε-efficiency." Optimization 20, no. 5 (January 1989): 615–37. http://dx.doi.org/10.1080/02331938908843483.

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Busino, Giovanni. "Pareto oggi." Revue européenne des sciences sociales, no. XLVIII-146 (July 1, 2010): 113–27. http://dx.doi.org/10.4000/ress.761.

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Yeh, Hsiaw-Chan, Barry C. Arnold, and Christopher A. Robertson. "Pareto processes." Journal of Applied Probability 25, no. 2 (June 1988): 291–301. http://dx.doi.org/10.2307/3214437.

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An autoregressive process ARP(1) with Pareto-distributed inputs, analogous to those of Lawrance and Lewis (1977), (1980), is defined and its properties developed. It is shown that the stationary distributions are Pareto. Further, the maximum and minimum processes are asymptotically Weibull, and the ARP(1) process is shown to be closed under maximization or minimization when the number of terms is geometrically distributed. The ARP(1) process leads naturally to an extremal process in the sense of Lamperti (1964). Statistical inference for the ARP(1) process is developed. An absolutely continuous variant of the Pareto process is described.

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Makatura, Liane, Minghao Guo, Adriana Schulz, Justin Solomon, and Wojciech Matusik. "Pareto gamuts." ACM Transactions on Graphics 40, no. 4 (August 2021): 1–17. http://dx.doi.org/10.1145/3476576.3476758.

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Makatura, Liane, Minghao Guo, Adriana Schulz, Justin Solomon, and Wojciech Matusik. "Pareto gamuts." ACM Transactions on Graphics 40, no. 4 (August 2021): 1–17. http://dx.doi.org/10.1145/3450626.3459750.

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Yeh, Hsiaw-Chan, Barry C. Arnold, and Christopher A. Robertson. "Pareto processes." Journal of Applied Probability 25, no. 02 (June 1988): 291–301. http://dx.doi.org/10.1017/s0021900200040936.

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An autoregressive process ARP(1) with Pareto-distributed inputs, analogous to those of Lawrance and Lewis (1977), (1980), is defined and its properties developed. It is shown that the stationary distributions are Pareto. Further, the maximum and minimum processes are asymptotically Weibull, and the ARP(1) process is shown to be closed under maximization or minimization when the number of terms is geometrically distributed. The ARP(1) process leads naturally to an extremal process in the sense of Lamperti (1964). Statistical inference for the ARP(1) process is developed. An absolutely continuous variant of the Pareto process is described.

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Ikefuji, Masako, Roger J. A. Laeven, Jan R. Magnus, and Chris Muris. "Pareto utility." Theory and Decision 75, no. 1 (January 26, 2012): 43–57. http://dx.doi.org/10.1007/s11238-012-9293-8.

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Green, M. W., and B. C. Arnold. "Pareto Distributions." Applied Statistics 35, no. 2 (1986): 215. http://dx.doi.org/10.2307/2347273.

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Dissertations / Theses on the topic "Pareto"

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Anabila, Moses A. "Skew Pareto distributions." abstract and full text PDF (free order & download UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1453191.

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Li, Cheuk Ming. "Pareto optimality and beyond." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=72066.

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The problem of social choice is the central theme of this study. Our main objective is to prove the existence of a social welfare function in order to put to rest the doctrine of 'natural liberty.' We reject most of the recently suggested solutions to the problem on the basis that they are either incomplete or inconsistent. Our proposed social welfare function is along the utilitarian line. Ratio-scale interpersonal comparisons of cardinal utilities are used to prove its existence. If we are allowed to define utilitarianism more broadly, then our social welfare function will also be unique. Finally, the study argues strongly for more positive action on the part of the government to rectify social injustice.

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Oliveira, Rodolfo Lourenzutti Torres de. "Distribuição beta pareto truncada." Universidade Federal de Minas Gerais, 2012. http://hdl.handle.net/1843/BUOS-92FNQK.

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The Pareto distribution is widely used to modelling a diverse range of phenomena. Many transformations and generalization of the Pareto law distribution have been proposed in order to get more flexible models. In fact, these generalizations are very common in literature.Recently a new family of distribution, called Beta Generated distribution, was proposed. This family presents itself as a very flexible family, capable of modelling symmetric and skewed data. In this work we apply the beta transformation to the truncated Pareto distribution. We analyse some of its properties and apply it to real data. For estimation we the minimum distance method. This new distribution, called Beta truncated Pareto, proved to be a very flexible.
Depois de Vilfredo Pareto propor a distribuição Pareto (ver Arnold (1983)), em 1896, para modelar dados econômicos (salários e riquezas), foi descoberto que muitos dados nas mais diversas áreas podem ser modelados pela distribuição de Pareto. Existem aplicações da distribuição de Pareto em hidrologia (Malamud & Turcotte (2006)), geologia (Gutenberg & Richter (1944)), economia (Jayadev (2008)), física (Zaninneti & Ferraro (2008)), entre outras áreas. Além disso, diversas modificações para a distribuição de Pareto têm sido propostas. Destas, duas se destacaram, a distribuição Pareto truncada e a distribuição Pareto Generalizada. A primeira foi estudada por Aban, Meerschaert & Panorska (2006) e a segunda por Hosking & Wallis (1987).No decorrer do tempo foram propostas várias generalizações para as mais diversas distribuições de probabilidade. Atualmente uma nova família de distribuições generalizadas vem ganhando destaque. Eugene, Lee & Famoye (2002) propuseram uma generalização da distribuição Normal usando a função de distribuição acumulada da distribuição Beta. Mais tarde, Jones (2004) definiu a família de uma forma mais genérica e a chamou de família gerada da Beta. Akinsete, Famoye & Lee (2008) aplicaram essa transformação na distribuição Pareto obtendo a distribuição Beta Pareto.Zaninneti & Ferraro (2008) concluíram em seu trabalho que em muitos casos a distribuição Pareto truncada se ajusta melhor aos dados do que a distribuição Pareto. Dessa forma, considerando que a generalização Beta está em forte evidência atualmente, esse trabalho visa generalizar a família Pareto truncada usando a transformação beta, estudar a suas propriedades e compara-la com a Beta Pareto e com outras distribuições já propostas na literatura. Para lidar com o problema de estimação pontual foram utilizados dois métodos, o famoso método da máxima verossimilhança e o método da distância mínima (ver Wolfowitz (1953) e Pollard (1980)). Também é feita a aplicação da Beta Pareto Truncada a um conjunto de dados reais. Os detalhes são mostrados a seguir.

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Bautista, Dianne Carrol Tan. "A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1237600537.

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Lengvinaitė, Ieva. "Pareto atsitiktinių dydžių ekstremumų dydžiai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060530_112724-13091.

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Herein work is researching extremes asymptotic of Pareto random values. Here is analyzing geometrically maximum (minimum) stability tasks, also asymptotically tasks, when succession value is geometrical and geometrically stability of lower extremes. Aim of this work is to check if Pareto distribution values are stable maximum and minimum distributions and to continue researches in the area of lower extremes structures. It was proved that maximum (minimum) distribution (when ) is geometrically stable maximum (minimum) distribution, while others – asymptotically k-stable. When , maximum (minimum) distribution is asymptotically stable, only maximum distribution is also Pareto distribution, but with the displacement, while other - asymptotically k-stable.

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Glaser, Eric L. "Pareto optimum improvement in Government contracting." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA374474.

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Thesis (M.S. in Management) Naval Postgraduate School, December 1999.
"December 1999". Thesis advisor(s): David R. Henderson, Jeffrey R. Cuskey. Includes bibliographical references (p. 131-134). Also available online.

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Savulytė, Vaida. "Dvimačių Pareto dydžių maksimumų asimptotinė analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_142229-68037.

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Darbo tikslas – sukonstruoti dvimatį skirstinį, kai duoti vienmačiai (marginalieji) skirstiniai, atlikti maksimumų asimptotinę analizę ir ištirti konvergavimo greitį. Dvimatis skirstinys konstruojamas dviem atvejais: kai vektorių komponentės yra priklausomos ir nepriklausomos. Detalesnė konvergavimo greičio analizė atlikta, kai komponentės yra priklausomos. Tyrimui buvo pasirinktas Pareto skirstinys. Pirmoje tiriamosios dalies ir rezultatų dalyje yra konstruojamas dvimatis skirstinys, skaičiuojamos jo pagrindinės charakteristikos, tiriama, ar prie visų parametrų reikšmių jos egzistuoja. Taip pat generuojami atsitiktiniai dydžiai, kurių skirstiniai yra sukonstruotosios skirstinio funkcijos marginalieji skirstiniai, ir eksperimentiškai bandoma pagrįsti gautus rezultatus. Antroje dalyje atliekama asimptotinė analizė. Apibrėžiami dvimačiai maksimumai, ieškomas ribinis skirstinys. Juos suradus, apibrėžiamas apytikslis konvergavimo greičio įvertis, atliekama jo bei paklaidų kompiuterinė analizė, ieškoma, kokioms sąlygoms esant jie yra mažiausi. Sukonstruoto dvimačio skirstinio skaitinių charakteristikų tyrimas atliekama programiniu paketu MathCAD. Kompiuterinė konvergavimo greičio įverčių analizė atliekama programinio paketo Matlab pagalba. Jo aplinkoje buvo sukurta programa vartotojui, kuri nubraižo konvergavimo greičio įvertį bei paklaidas.
The aim of this paper is to construct two-dimensional random variables, having one-dimensional ones, carry out the asymptotical analysis and study the speed of convergence. Two-dimensional distribution is constructed in two ways: when the components of random variables are independent and dependent. As in the last few years Pareto distribution is popular in financial models, it was chosen for the analyses. It was proved, that in both cases of independent and dependent components of the vector, the limit distribution is the same. This means that although the components of the vector are dependent, the maxima are asymptotically independent. Besides, the errors are smaller than the approximate estimate. Although, the approximate estimate in the case of independent components is smaller than in the case of dependent components, the errors are on the contrary: they are smaller when the components are dependent than when the components are independent.

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Juozulynaitė, Gintarė. "Pareto atsitiktinių dydžių geometrinis maks stabilumas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100830_094813-81556.

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Šiame darbe nagrinėjau vienmačių ir dvimačių Pareto atsitiktinių dydžių geometrinį maks stabilumą. Įrodžiau, kad vienmatis Pareto skirstinys yra geometriškai maks stabilus, kai alfa=1. Tačiau nėra geometriškai maks stabilus, kai alfa nelygu 1. Naudodamasi geometrinio maks stabilumo kriterijumi dvimačiams Pareto atsitiktiniams dydžiams, įrodžiau, kad dvimatė Pareto skirstinio funkcija nėra geometriškai maks stabili, kai vektoriaus komponentės nepriklausomos (kai alfa=1, beta=1 ir alfa nelygu 1, beta nelygu 1). Taip pat dvimatė Pareto skirstinio funkcija nėra geometriškai maks stabili, kai vektoriaus komponentės priklausomos (kai alfa=1, beta=1 ir alfa nelygu 1, beta nelygu 1). Dvimačių Pareto skirstinių tyrimas pateikė nelauktus rezultatus. Gauta, kad dvimatė Pareto skirstinio funkcija nėra geometriškai maks stabili, kai alfa=1, beta=1. Tačiau vienmatės marginaliosios Pareto skirstinio funkcijos yra geometriškai maks stabilios, kai alfa=1, beta=1.
In this work I analyzed geometric max stability of univariate and bivariate Pareto random variables. I have proved, that univariate Pareto distribution is geometrically max stable when alpha=1. But it is not geometrically max stable when alpha unequal 1. Using the criterion of geometric max stability for bivariate Pareto random variables, I have proved, that bivariate Pareto distribution function is not geometrically max stable, when vectors’ components are independent (when alpha=1, beta=1 and alpha unequal 1, beta unequal 1). Also bivariate Pareto distribution function is not geometrically max stable, when vectors’ components are dependent (when alpha=1, beta=1 and alpha unequal 1, beta unequal 1). Research of bivariate Pareto distributions submitted unexpected results. Bivariate Pareto distribution function is not geometrically max stable, when alpha=1, beta=1. But marginal Pareto distribution functions are geometrically max stable, when alpha=1, beta=1.

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Bhat, N. J. "Pareto optimal design of air bearings." Thesis, University of Huddersfield, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430276.

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Picot, Jérémy. "Variations autour du critère de Pareto." Caen, 2008. http://www.theses.fr/2008CAEN0654.

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Le critère de Pareto est sans aucun doute l'un des axiomes centraux de la théorie du choix social. Cette thèse se propose dans un premier temps de calculer la fréquence avec laquelle quatre fonctions de choix social ne respectent pas ce principe. Il s'agit de la procédure de vote par amendements, la procédure de vote par éliminations successives (qui sont deux règles de vote en usage dans les Parlements), le vote par élimination parallèle et la procédure par découpage. En d'autres termes, on détermine la probabilité avec laquelle une option va être choisie alors qu'il en existe une autre qui lui est unanimement préférée. Contrairement à ce qui est habituellement sous-entendu dans la littérature, la conclusion de cette étude ne remet pas en cause la légitimité de ces règles de vote. On s'intéresse ensuite à des fonctions qui ne mènent pas directement à un choix certain, mais indiquent pour chaque option (ou pour chaque ordre de préférence possible) la probabilité pour que celle-ci (ou celui-ci) devienne le choix de la société : les fonctions de choix social (ou de décision sociale) aléatoires. S'appuyant sur les travaux de Barberà et Sonnenschein (Journal of Economic Theory, 1978), et dans l'esprit de la contribution de Wilson (Journal of Economic Theory, 1972), on montre que dans ces modèles probabilistes, les fonctions insensibles à la manipulation stratégique individuelle (qui empêchent les individus de mentir sur leurs préférences dans le but d'améliorer leur position) sont associées à des fonctions soumises à un pouvoir coalitionnel qui se rapproche de la définition d'une dictature aléatoire

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Books on the topic "Pareto"

1

Freund, Julien. Pareto. Washington, D.C: Plutarch Press, 1986.

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de Pietri-Tonelli, Alfonso, and Georges H. Bousquet. Vilfredo Pareto. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-13322-2.

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V, Femia Joseph, ed. Vilfredo Pareto. Aldershot, Hants, England: Ashgate, 2008.

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Martí, Lluís Pareto i. Graziella Pareto. Barcelona: Labor, 1992.

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Giovanni, Busino, and Società italiana degli economisti. Riunione scientifica, eds. Pareto oggi. Bologna: Il Mulino, 1991.

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Powers, Charles H. Vilfredo Pareto. Newbury Park, Calif: Sage Publications, 1987.

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MacIntyre, Ian. The Pareto rule. Leicester: University of Leicester. Department of Economics, 1990.

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Samuels, Warren J. Pareto on policy. New Brunswick: Transaction Publishers, 2012.

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MacIntyre, Ian. The Pareto rule. Leicester: University of Leicester, Department of Economics, 1990.

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Grachëv, G. A. Modelirovanie print͡sipa Pareto. Rostov-na-Donu: Izd-vo I͡Uzhnogo federalʹnogo un-ta, 2011.

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Book chapters on the topic "Pareto"

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Di Lorenzo, Renato. "Pareto." In Cassandra non era un’idiota, 85–87. Milano: Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-2004-7_13.

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Fordahl, Clayton. "Pareto." In Vilfredo Pareto’s Contributions to Modern Social Theory, 176–90. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003305514-12.

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Arnold, Barry C. "Pareto and Generalized Pareto Distributions." In Modeling Income Distributions and Lorenz Curves, 119–45. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-72796-7_7.

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Scruton, Roger. "Vilfredo Pareto." In Conservative Texts, 257–65. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-21728-1_18.

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Luc, Dinh The. "Pareto Optimality." In Multiobjective Linear Programming, 85–118. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21091-9_4.

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Feldman, Allan M. "Pareto optimality." In The New Palgrave Dictionary of Economics and the Law, 1405–10. London: Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1007/978-1-349-74173-1_267.

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Bach, Maurizio. "Pareto, Vilfredo." In Kindlers Literatur Lexikon (KLL), 1. Stuttgart: J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-05728-0_15774-1.

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Luc, Dinh The. "Pareto Optimality." In Pareto Optimality, Game Theory And Equilibria, 481–515. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-77247-9_18.

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Wellmann, Andreas, and Regina Zelms. "Pareto-Prinzip." In Professionelles Zeitmanagement, 105–6. Wiesbaden: Gabler Verlag, 1995. http://dx.doi.org/10.1007/978-3-322-84742-3_27.

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Ng, Yew-Kwang. "Pareto Optimality." In Welfare Economics, 26–46. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9781403944061_2.

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Conference papers on the topic "Pareto"

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Singhee, Amith, and Pamela Castalino. "Pareto sampling." In the 47th Design Automation Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1837274.1837503.

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Verma, Siddhartha, Panagiotis Hadjidoukas, Philipp Wirth, Diego Rossinelli, and Petros Koumoutsakos. "Pareto Optimal Swimmers." In PASC '17: Platform for Advanced Scientific Computing Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3093172.3093232.

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Utyuzhnikov, S. V., J. Maginot, M. D. Guenov, and Alexander M. Korsunsky. "Local Pareto Approximation." In CURRENT THEMES IN ENGINEERING SCIENCE 2007: Selected Presentations at the World Congress on Engineering—2007. AIP, 2008. http://dx.doi.org/10.1063/1.2991346.

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Abou-Moustafa, Karim T., Fernando de la Torre, and Frank P. Ferrie. "Pareto discriminant analysis." In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2010. http://dx.doi.org/10.1109/cvpr.2010.5539925.

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Rodriguez-Dagnino, Ramon M. "On the Pareto/M/c and Pareto/M/1/K queues." In Optics East, edited by Frank Huebner and Robert D. van der Mei. SPIE, 2004. http://dx.doi.org/10.1117/12.570535.

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Marca, Yuri, Hernán Aguirre, Saúl Zapotecas, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, and Kiyoshi Tanaka. "Pareto dominance-based MOEAs on problems with difficult pareto set topologies." In GECCO '18: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205651.3205746.

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Neshatian, Kourosh, and Mengjie Zhang. "Pareto front feature selection." In the 11th Annual conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1569901.1570040.

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Kim, Seung-Jean, Alessandro Magnani, Sikandar Samar, Stephen Boyd, and Johan Lim. "Pareto optimal linear classification." In the 23rd international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1143844.1143904.

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Juefei-Xu, Felix, and Marios Savvides. "Pareto-optimal discriminant analysis." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7350871.

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Hendriks, Martijn, Marc Geilen, and Twan Basten. "Pareto Analysis with Uncertainty." In 2011 IEEE/IFIP 9th International Conference on Embedded and Ubiquitous Computing (EUC). IEEE, 2011. http://dx.doi.org/10.1109/euc.2011.54.

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Reports on the topic "Pareto"

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Phelan, Christopher, and Aldo Rustichini. Pareto Efficiency and Identity. Cambridge, MA: National Bureau of Economic Research, January 2015. http://dx.doi.org/10.3386/w20883.

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Brito, Dagobert, Jonathan Hamilton, Steven Slutsky, and Joseph Stiglitz. Pareto Efficient Tax Structures. Cambridge, MA: National Bureau of Economic Research, March 1990. http://dx.doi.org/10.3386/w3288.

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Kotlikoff, Laurence, Felix Kubler, Andrey Polbin, and Simon Scheidegger. Pareto-Improving Carbon-Risk Taxation. Cambridge, MA: National Bureau of Economic Research, April 2020. http://dx.doi.org/10.3386/w26919.

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Allen, J. C., and D. Arceo. A Pareto Approach to Lossy Matching. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada467597.

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Battaglini, Marco, and Stephen Coate. Pareto Efficient Income Taxation with Stochastic Abilities. Cambridge, MA: National Bureau of Economic Research, November 2003. http://dx.doi.org/10.3386/w10119.

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Backus, David, Chase Coleman, Axelle Ferriere, and Spencer Lyon. Pareto Weights as Wedges in Two-Country Models. Cambridge, MA: National Bureau of Economic Research, December 2015. http://dx.doi.org/10.3386/w21773.

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Cole, Harold, and Felix Kubler. Recursive Contracts, Lotteries and Weakly Concave Pareto Sets. Cambridge, MA: National Bureau of Economic Research, May 2011. http://dx.doi.org/10.3386/w17064.

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Finkelstein, Amy. When Can Partial Public Insurance Produce Pareto Improvements? Cambridge, MA: National Bureau of Economic Research, June 2002. http://dx.doi.org/10.3386/w9035.

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Feenstra, Robert, and Tracy Lewis. Trade Adjustment Assistance and Pareto Gains From Trade. Cambridge, MA: National Bureau of Economic Research, September 1991. http://dx.doi.org/10.3386/w3845.

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Krishna, Kala, Sergey Lychagin, Wojciech Olszewski, Ron Siegel, and Chloe Tergiman. Pareto Improvements in the Contest for College Admissions. Cambridge, MA: National Bureau of Economic Research, July 2022. http://dx.doi.org/10.3386/w30220.

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