rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Biostatistics with R
    sub title: An Introduction to Statistics Through Biological Data
  name:
    name part: Shahbaba, Babak.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 352 p. 162 illus., 73 illus. in color. online resource.
  abstract: Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an elementary introduction to the basic of Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text. .
  table of contents: Introduction -- Data Exploration -- Exploring Relationships -- Probability -- Random Variables and Probability Distribtions -- Estimation -- Hypothesis Testing -- Testing a Hypothesis on the Relatinoship Between Two Variables -- Analysis of Variance -- Analysis of Categorial Variables -- Regression Analysis -- Clustering -- Bayesian Analysis.
  note: by Babak Shahbaba.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Use R!
  identifier: 9781461413028
  identifier: http://dx.doi.org/10.1007/978-1-4614-1302-8
  record info:
    record creation date: 111214
    record change date: 20150520200947.0
    record identifier: 978-1-4614-1302-8