Rating:
(12 reviews)
Author: Alain Zuur Elena N. Ieno Neil Walker Anatoly A. Saveliev Graham M. Smith
ISBN : B003VM7G4M
New from $58.37
Format: PDF, EPUB
Download Free Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health) [Kindle Edition]
Download for everyone book 4shared, mediafire, hotfile, and mirror link
Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.
Books with free ebook downloads available Free Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health) [Kindle Edition]
Download
- File Size: 15001 KB
- Print Length: 574 pages
- Publisher: Springer; 2009 edition (March 12, 2009)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B003VM7G4M
- Text-to-Speech: Enabled
X-Ray:
- Lending: Enabled
- Amazon Best Sellers Rank: #647,227 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #90
in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Biological Sciences > Biostatistics
- #90
in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Biological Sciences > Biostatistics
Free Mixed Effects Models and Extensions in Ecology with R
Download
Many applications in ecology clearly are not amenable to use of the general linear model due to violations of its assumptions. In fact, in most projects I work on, things like correlation among the errors, nonconstant error variance, etc., are the rule, rather than the exception. If you are looking for an applied text dealing with these types of situations with lots of examples, and demonstrations on analysis in R, then you should get this book. It does not delve into theory; there are plenty of other textbooks where you can fill in those details if you are interested. Rather, this book would be ideally suited for quantitative ecologists, biometricians, and statistical consultants who work in life sciences. Another nice thing is that the book does not assume you are an "R expert". Well done.
By Philip Turk
This book is very good in both introducing statistical concepts and describing the R commands to implement those concepts. It is required, however, a relatively deep understanding of Linear Regression. I read this book from A to Z, however, each chapter is as independent as possible, and therefore it is possible to read the individual chapters. I did not try the code on the web page of the book yet, but I did type some of the examples and the code from the book works OK. In addition in the web site there is a set of instructions to install a package with all the code from the examples and updates on the R libraries and packages explained in the book.
Each methodology explained in the book covers step by step both the statistical (and mathematical) details as well as the construction of the R code (including importing the dataset and formating of columns for later analysis).
One of the most important "extra points" in this book is the use of a consistent methodology to approach the problem of modeling ecological data from a statistical point of view.
My only complain is that there are lots (LOTS) of typos, nothing too serious (since I was able to catch them) but still, I'm a little disappointed, because a good reviewer should got those.
By Diego RM
-
Download Link 2