02602cam a2200229 i 4500999001900000008004500019020001800064082002200082100002600104245005100130250000800181260003200189300001800221490006400239520171800303650005702021650004202078650004202120650002102162942000702183952018202190 c207278d207278170919b2017 xxu||||| |||| 00| 0 eng d a978149872872000a550.2855133bQ4E61 aQian, Song S.934871310aEnvironmental and ecological statistics with R a2nd aBoca RatonbCRC Pressc2017 axxiii, 535 p.0 aChapman and Hall/CRC Press Applied Environmental Statistics aEmphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference.
The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model.
Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.
https://www.crcpress.com/Environmental-and-Ecological-Statistics-with-R-Second-Edition/Qian/p/book/9781498728720 0aEnvironmental sciences - statistical methods9348714 0aEcology - statistical methods9348715 0aR - Computer program language9348716 0aBig Data9348806 cBK 00102ddc406550_285513300000000_Q4E6708NFIC9349303aVSLbVSLcGENd2017-09-26e5g3998.99kSlot 1699 (2 Floor, East Wing)o550.2855133 Q4E6p195221r2017-09-26v4998.74yBK