Environmental and Ecological Statistics with R

Environmental and Ecological Statistics with R
Author: Song S. Qian
Publisher: Chapman & Hall/CRC
Total Pages: 0
Release: 2017
Genre: Ecology
ISBN: 9781498728720

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Emphasizing the inductive nature of statistical thinking, this text connects applied statistics to the environmental and ecological fields. It follows the general approach to solving a statistical modeling problem, covering model specification, parameter estimation, and model evaluation.


Environmental and Ecological Statistics with R
Language: en
Pages: 560
Authors: Song S. Qian
Categories: Mathematics
Type: BOOK - Published: 2016-11-03 - Publisher: CRC Press

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Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the env
Environmental and Ecological Statistics with R, Second Edition
Language: en
Pages: 376
Authors: Song S. Qian
Categories: Mathematics
Type: BOOK - Published: 2016-11-03 - Publisher: CRC Press

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Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the env
Environmental and Ecological Statistics with R
Language: en
Pages: 442
Authors: Song S. Qian
Categories: Mathematics
Type: BOOK - Published: 2009-08-19 - Publisher: CRC Press

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Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R connects applied statistics to the environmental and ec
Ecological Models and Data in R
Language: en
Pages: 408
Authors: Benjamin M. Bolker
Categories: Computers
Type: BOOK - Published: 2008-07-21 - Publisher: Princeton University Press

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Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions f
Numerical Ecology with R
Language: en
Pages: 444
Authors: Daniel Borcard
Categories: Mathematics
Type: BOOK - Published: 2018-03-19 - Publisher: Springer

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This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through t