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Taylors Power Law Order And Pattern In Nature 1st Edition Raj Taylor

  • SKU: BELL-10666250
Taylors Power Law Order And Pattern In Nature 1st Edition Raj Taylor
$ 31.00 $ 45.00 (-31%)

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Taylors Power Law Order And Pattern In Nature 1st Edition Raj Taylor instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 26.42 MB
Pages: 629
Author: R.A.J. Taylor
ISBN: 9780128109878, 0128109874
Language: English
Year: 2019
Edition: 1

Product desciption

Taylors Power Law Order And Pattern In Nature 1st Edition Raj Taylor by R.a.j. Taylor 9780128109878, 0128109874 instant download after payment.

Taylor's Power Law: Order and Pattern in Nature is a broad synthesis of this ubiquitous property of natural and man-made phenomena. This stimulating and approachable work surveys the biological and non-biological empirical data, describes the statistical uses of Taylor’s power law (TPL) and its relationship to statistical distributions, exposes the mathematical connections to other power laws, covers the competing explanatory models; and develops an argument for TPL's genesis.
Taylor’s power law relates the variability of a process or population to its average value. It was first described in relation to insect populations and then more broadly to other animal and plant populations. Subsequently it has been recognized in microbiology, genetics, economics, astronomy, physics, and computer science, and it is thought to be one of the few general laws in ecology where it is routinely used to describe the spatial and temporal distributions of populations.
Biologists who know the law as Taylor's power law and physical scientists who know it as fluctuation scaling will be interested in the bigger picture on this fascinating subject. As the relationship between variance and mean is found in so wide a range of disciplines, it seems possible it is a deep property of number, not just a phenomenon in ecology as was thought originally. Although theories abound that purport to explain or predict TPL, none is entirely satisfactory either because it fails to be very predictive, or it does not account for all the available empirical data. To uncover such a property requires a synthesis across disciplines, an acute need that is approached by this exciting work.

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