Environmental and Ecological Statistics with R (Chapman & Hall/CRC Applied Environmental Statistics)

I expect that I will be pulling examples from it when I teach methods courses to students in the sciences. So I can and do recommend it as a helpful resource … —Jane L. Harvill, The American Statistician , November Qian effectively blends fundamentals of scientific methods with statistical thinking, modeling, computing, and inference.

It is a beautiful scientific guideline for a computer-based model building and evaluation process.

Numerous data sets and R scripts, all available online, help to understand even the subtle differences between various models. Here, the reader profits from the obvious practical experience of the author. We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption. Learn More about VitalSource Bookshelf. CPD consists of any educational activity which helps to maintain and develop knowledge, problem-solving, and technical skills with the aim to provide better health care through higher standards. It could be through conference attendance, group discussion or directed reading to name just a few examples.

We provide a free online form to document your learning and a certificate for your records. Already read this title? Please accept our apologies for any inconvenience this may cause. Add to Wish List. Toggle navigation Additional Book Information. Features Describes each type of statistical model through examples Explains how to conduct data analysis Discusses simulation for model checking, an important aspect of model development and assessment Presents multilevel regression models, such as multilevel ANOVA, multilevel linear regression, and generalized multilevel Shows how the methods can be implemented using R Offers the data sets and R scripts used in the book along with exercises and solutions on http: Author s Bio Song S.

Harvill, The American Statistician , November Qian effectively blends fundamentals of scientific methods with statistical thinking, modeling, computing, and inference. The R code included in the book outlines key computational procedures and provides a workable foundation upon which researchers can conduct scientific inference and statistical analysis with their own data.

Environmental and Ecological Statistics with R

Reckhow , Professor Emeritus, Duke University. It provides us with a strategy to evaluate potential models rather than a rule to specify a specific statistical model as most people expected. However, most of the time, the importance of model evaluation is largely underestimated in the training of students…Most students, like mine, are taught about statistics in a classical way.

They are impressed but somehow intimidated by some technical terms like significance and power effect, thus becoming afraid of applying statistics to real data and questions.

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This book gives us a new way to teach statistics to biological and ecological students at research level… This book not only teaches us about statistical methodology but also philosophy and strategy in applied statistics…With the modification of chapters 1 to 10, with the addition of a new chapter, this edition features a stronger emphasis on model evaluation compared to that of the previous edition.

Overall, I liked the book.

I expect that I will be pulling examples from it when I teach methods courses to students in the sciences. So I can and do recommend it as a helpful resource" —Jane L. Harvill, The American Statistician, November It is a beautiful scientific guideline for a computer-based model building and evaluation process.

We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption. Learn More about VitalSource Bookshelf. CPD consists of any educational activity which helps to maintain and develop knowledge, problem-solving, and technical skills with the aim to provide better health care through higher standards.

It could be through conference attendance, group discussion or directed reading to name just a few examples. We provide a free online form to document your learning and a certificate for your records. Already read this title? Please accept our apologies for any inconvenience this may cause. Add to Wish List. Toggle navigation Additional Book Information. Features The second edition adds new materials, including: New examples from recent studies on harmful algal blooms and endangered plant species survey, covering linear and nonlinear models, multilevel models, and simulation New sections on self-starter function for nonlinear models, multinomial regression and it's connection to Poisson regression, and nonlinear multilevel models New chapter on using R and RStudio New chapter on using simulation for evaluating a threshold model Exercises to enable use as a course text or for self-study A supplementary GitHub page, including R code and datasets used in the book, and sample chapters.

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Author s Bio Song S. Reckhow , Professor Emeritus, Duke University "Statistics is a science to interpret, model, and explain variation.

Harvill, The American Statistician, November "Qian effectively blends fundamentals of scientific methods with statistical thinking, modeling, computing, and inference. Request an e-inspection copy. The Bookshelf application offers access: Offline Computer — Download Bookshelf software to your desktop so you can view your eBooks with or without Internet access.

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