Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience. Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. By the time you reach the end of the book (and online material) you will have gained: A clear appreciation of the importance of a statistical approach to the design of your experiments, A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables, Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly, An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working. The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.
For this week's Black Cat Weekly, Michael Bracken has acquired an original mystery by Ashley-Ruth M. Bernier, Barb Goffman found a tale by SJ Rozan that will surely satisfy crime fans, and Cynthia Ward tracked down a Matthew Hughes story. Plus, for the sheer silliness of it all, there’s a Mickey Spillane parody from 1954 (which manages to be both a mystery and fantasy…but wasn’t everything of Spillane’s?) and classics from R. Austin Freeman (a Dr Thorndyke story), a Nick Carter novel, and the first Skylark of Space novel by E.E. “Doc” Smith. Here’s the complete lineup: Mysteries / Suspense / Adventure: “Ripen,” by Ashley-Ruth M. Bernier [Michael Bracken Presents short story] “Death Takes a Swing,” by Hal Charles [Solve-It-Yourself Mystery] “E-Golem,” by SJ Rozan [Barb Goffman Presents short story] “The Case Of Oscar Brodski,” by R. Austin Freeman [short story] A Human Counterfeit, by Nicholas Carter [novel] “The Shaky Undertaker,” by Ed Cox [short story] Science Fiction & Fantasy: “The Shaky Undertaker,” by Ed Cox [short story] “To the Sons of Tomorrow,” by Irving Cox, Jr. [short story] “Mastermindless,” by Matthew Hughes [Cynthia Ward Presents short story] “Problem In Solid,” by George O. Smith [short story] “Sequel,” by Ben Smith [short story] The Skylark of Space, by E.E. “Doc” Smith [novel]
Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.