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  • Search: subject:"Growth processes"
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Year of publication
Subject
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Growth processes 6 Concentration 2 Distribution 2 Extreme Values 2 Growth Processes 2 Inequality 2 Cumulative diminuation/growth processes 1 Diffusion-limited aggregation 1 Dynamic scaling 1 Economic growth 1 Einkommensverteilung 1 Firm growth 1 Fluctuation–dissipation relations 1 Fractional diffusion equation 1 Fractional kinetic equation 1 Functional Central Limit Theorems (FCLTs) 1 Gibrat’s Law 1 Global quantities 1 Heaps curve 1 Heaps process 1 Heaps’ law 1 I-O models 1 Income distribution 1 Interface fluctuations 1 Interfaces and surfaces 1 Irreversible growth processes 1 Malaysia 1 Mittag-Leffler function 1 Multifractality 1 Percolation 1 Poisson processes 1 Power laws 1 Rank distributions 1 Rough surfaces 1 Statistical distribution 1 Statistische Verteilung 1 Stochastic equations 1 Strategy 1 Theorie 1 Theory 1
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Online availability
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Undetermined 9 Free 2
Type of publication
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Article 9 Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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Undetermined 10 English 2
Author
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Weber, Jan David 2 Bekhet, Hussain Ali 1 Bershadskii, A. 1 Braunstein, L.A. 1 Büyükkılıç, F. 1 Chou, Yen-Liang 1 Ciamarra, M. Pica 1 Coniglio, A. 1 Demirhan, D. 1 Eliazar, Iddo 1 Ertik, H. 1 La Rocca, C.E. 1 Mehta, A. 1 Mookerjee, A. 1 Pastore y Piontti, A.L. 1 Pleimling, Michel 1 Sanyal, B. 1 Schulz, Jan 1 Schulz-Gebhard, Jan 1 Silverberg, G. 1 Stam, Erik 1 Verspagen, Bart 1 Şirin, H. 1
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Institution
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Eindhoven Centre for Innovation Studies (Ecis), Technische Universiteit Eindhoven 1
Published in...
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Physica A: Statistical Mechanics and its Applications 7 BERG Working Paper Series 1 BERG working paper series 1 International Journal of Economics and Business Research 1 Small Business Economics 1 Working Papers / Eindhoven Centre for Innovation Studies (Ecis), Technische Universiteit Eindhoven 1
Source
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RePEc 10 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 10 of 12
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Power laws in socio-economics
Schulz, Jan; Weber, Jan David - 2025
Power laws are pervasive in economics and social sciences, particularly in the upper tails of distributions such as wealth, income, firm size, and city populations. Their scale-free property makes them a universal framework to understand phenomena spanning several orders of magnitude. This...
Persistent link: https://www.econbiz.de/10015338500
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Power laws in socio-economics
Schulz-Gebhard, Jan; Weber, Jan David - 2025
Power laws are pervasive in economics and social sciences, particularly in the upper tails of distributions such as wealth, income, firm size, and city populations. Their scale-free property makes them a universal framework to understand phenomena spanning several orders of magnitude. This...
Persistent link: https://www.econbiz.de/10015333277
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Kinetic roughening, global quantities, and fluctuation–dissipation relations
Chou, Yen-Liang; Pleimling, Michel - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 13, pp. 3585-3593
Growth processes and interface fluctuations can be studied through the properties of global quantities. We here discuss …
Persistent link: https://www.econbiz.de/10010874899
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Assessing development efficiency in Malaysian economy: input-output approach
Bekhet, Hussain Ali - In: International Journal of Economics and Business Research 4 (2012) 3, pp. 297-325
period. Also, the results indicate a rather remarkable degree of commonality in the patterns of growth processes, with more …
Persistent link: https://www.econbiz.de/10010691757
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The growth statistics of Zipfian ensembles: Beyond Heaps’ law
Eliazar, Iddo - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 20, pp. 3189-3203
We consider an evolving ensemble assembled from a set of n different elements via a stochastic growth process in which independent and identically distributed copies of the elements arrive randomly in time, and their statistics are governed by Zipf’s law. The associated “Heaps process” is...
Persistent link: https://www.econbiz.de/10011059802
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The influence of fractality on the time evolution of the diffusion process
Şirin, H.; Büyükkılıç, F.; Ertik, H.; Demirhan, D. - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 10, pp. 2007-2013
In the literature, the deviations from standard behaviors of the solutions of the kinetic equation and the analogous diffusion equation are put forward by investigations which are carried out in the frame of fractional mathematics and nonextensive physics. On the other hand, the physical origins...
Persistent link: https://www.econbiz.de/10011061520
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Growth beyond Gibrat: firm growth processes and strategies
Stam, Erik - In: Small Business Economics 35 (2010) 2, pp. 129-135
Persistent link: https://www.econbiz.de/10008678523
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Diffusion model for the treeing process of electrodeposition experiments
Pastore y Piontti, A.L.; La Rocca, C.E.; Braunstein, L.A. - In: Physica A: Statistical Mechanics and its Applications 376 (2007) C, pp. 319-326
We simulate a model that captures all the features of the silver electrodeposition experiment in a rectangular cell. We study the bulk of the aggregates on the basis of a treeing process (M. Matsushita, P. Meakin, Cluster size distribution of self-affine fractals, Phys. Rev. A 37 (1988) 3645; F....
Persistent link: https://www.econbiz.de/10011059543
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Random walk, cluster growth, and the morphology of urban conglomerations
Ciamarra, M. Pica; Coniglio, A. - In: Physica A: Statistical Mechanics and its Applications 363 (2006) 2, pp. 551-557
We propose a new model of cluster growth according to which the probability that a new unit is placed in a point at a distance r from the city center is a Gaussian with mean equal to the cluster radius and variance proportional to the mean, modulated by the local density ρ(r). The model is...
Persistent link: https://www.econbiz.de/10011058250
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Long Memory in Time Series of Economic Growth and Convergence
Silverberg, G.; Verspagen, Bart - Eindhoven Centre for Innovation Studies (Ecis), … - 1999
Persistent link: https://www.econbiz.de/10010747185
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