Statistical Design and Analysis of Biological Experiments is popular PDF and ePub book, written by Hans-Michael Kaltenbach in 2021-04-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Statistical Design and Analysis of Biological Experiments can be Read Online from any device for your convenience.
Statistical Design and Analysis of Biological Experiments Book PDF Summary
This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields. The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including ‘portable power’ formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice. Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable.
Detail Book of Statistical Design and Analysis of Biological Experiments PDF
- Author : Hans-Michael Kaltenbach
- Release : 15 April 2021
- Publisher : Springer Nature
- ISBN : 9783030696412
- Genre : Mathematics
- Total Page : 281 pages
- Language : English
- PDF File Size : 20,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Statistical Design and Analysis of Biological Experiments by Hans-Michael Kaltenbach, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.