國立虎尾科技大學 |

Power Laws = A Statistical Trek /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Power Laws/ by Iddo Eliazar.
其他題名:	A Statistical Trek /
作者:	Eliazar, Iddo.
面頁冊數:	XX, 203 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Complex Systems. -
電子資源:	https://doi.org/10.1007/978-3-030-33235-8
ISBN:	9783030332358

Power Laws = A Statistical Trek /
Eliazar, Iddo.

Power LawsA Statistical Trek /[electronic resource] :by Iddo Eliazar. - 1st ed. 2020. - XX, 203 p. 1 illus.online resource. - 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 Fréchet laws, power Lorenz curves, Lévy 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:

888664
Complex Systems.

LC Class. No.: QC174.7-175.36

Dewey Class. No.: 530.1

Power Laws = A Statistical Trek /
LDR:02420nam a22003975i 4500 001 1021286
003 DE-He213
005 20200702073723.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030332358 $9 978-3-030-33235-8
024 7 $a 10.1007/978-3-030-33235-8 $2 doi
035 $a 978-3-030-33235-8
050 4 $a QC174.7-175.36
072 7 $a PHS $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHS $2 thema
082 0 4 $a 530.1 $2 23
100 1 $a Eliazar, Iddo. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1316925
245 1 0 $a Power Laws $h [electronic resource] : $b A Statistical Trek / $c by Iddo Eliazar.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XX, 203 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Understanding Complex Systems, $x 1860-0832
505 0 $a 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.
520 $a 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 Fréchet laws, power Lorenz curves, Lévy 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.
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Complexity. $3 669595
650 2 4 $a Statistical Theory and Methods. $3 671396
650 1 4 $a Statistical Physics and Dynamical Systems. $3 1114011
650 0 $a System theory. $3 566168
650 0 $a Computational complexity. $3 527777
650 0 $a Statistics . $3 1253516
650 0 $a Statistical physics. $3 528048
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030332341
776 0 8 $i Printed edition: $z 9783030332365
830 0 $a Understanding Complex Systems, $x 1860-0832 $3 1254579
856 4 0 $u https://doi.org/10.1007/978-3-030-33235-8
912 $a ZDB-2-PHA
912 $a ZDB-2-SXP
950 $a Physics and Astronomy (SpringerNature-11651)
950 $a Physics and Astronomy (R0) (SpringerNature-43715)