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Power laws = a statistical trek /
~
Eliazar, Iddo.
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Power laws = a statistical trek /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Power laws/ by Iddo Eliazar.
其他題名:
a statistical trek /
作者:
Eliazar, Iddo.
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
xx, 203 p. :ill., digital ;24 cm.
內容註:
Introduction -- From lognormal to power -- The Poisson law -- Framework -- Threshold analysis -- Hazard rates -- Order statistics -- Exponent estimation -- Socioeconomic analysis -- Fractality -- Sums -- Dynamics -- Limit laws -- First digits -- Back to lognormal -- Conclusion -- Appendix.
Contained By:
Springer Nature eBook
標題:
Mathematical statistics. -
電子資源:
https://doi.org/10.1007/978-3-030-33235-8
ISBN:
9783030332358
Power laws = a statistical trek /
Eliazar, Iddo.
Power laws
a statistical trek /[electronic resource] :by Iddo Eliazar. - Cham :Springer International Publishing :2020. - xx, 203 p. :ill., digital ;24 cm. - Understanding complex systems,1860-0832. - Understanding complex systems..
Introduction -- From lognormal to power -- The Poisson law -- Framework -- Threshold analysis -- Hazard rates -- Order statistics -- Exponent estimation -- Socioeconomic analysis -- Fractality -- Sums -- Dynamics -- Limit laws -- First digits -- Back to lognormal -- Conclusion -- Appendix.
This monograph is a comprehensive and cohesive exposition of power-law statistics. Following a bottom-up construction from a foundational bedrock - the power Poisson process - this monograph presents a unified study of an assortment of power-law statistics including: Pareto laws, Zipf laws, Weibull and Frechet laws, power Lorenz curves, Levy laws, power Newcomb-Benford laws, sub-diffusion and super-diffusion, and 1/f and flicker noises. The bedrock power Poisson process, as well as the assortment of power-law statistics, are investigated via diverse perspectives: structural, stochastic, fractal, dynamical, and socioeconomic. This monograph is poised to serve researchers and practitioners - from various fields of science and engineering - that are engaged in analyses of power-law statistics.
ISBN: 9783030332358
Standard No.: 10.1007/978-3-030-33235-8doiSubjects--Topical Terms:
516858
Mathematical statistics.
LC Class. No.: QA276 / .E55 2020
Dewey Class. No.: 519.5
Power laws = a statistical trek /
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