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Springer Power Laws: A Statistical Trek (Understanding Complex Systems)
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Description
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.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3030332349
- Category
- Books > Subjects > Reference
- Domain
- Amazon UK
- Release Date
- 04 January 2020
- Listed Since
- 11 September 2019
Barcode
No barcode data available
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