یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologists training. This accessible book provides a contemporary introduction to the classical techniques and modern extensions of linear model analysis: one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. It emphasizes an estimation-based approach that accounts for recent criticisms of the over-use of probability values, and introduces alternative approaches using information criteria. Statistics is introduced through worked analyses performed in R, the free open source programming language for statistics and graphics, which is rapidly becoming the standard software in many areas of science and technology. These analyses use real data sets from ecology, evolutionary biology, and environmental science, and the data sets and R scripts are available as support material. The book's structure and user friendly style stem from the author's 20 years of experience teaching statistics to life and environmental scientists at both the undergraduate and graduate levels. The New Statistics with R is suitable for undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology. Book jacket
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Bioinformatics
موضوع مستند نشده
R (Computer program language)
رده بندی ديویی
شماره
570
.
2/85
ويراست
23
رده بندی کنگره
شماره رده
QH324
.
2
نشانه اثر
H44
2015
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )