Applied Statistics Theory and Problem Solutions with R

instant_delivery
  • Seller:

    zidzero

  • Feedback:

    18

    0

    1

  • Rating: 94.7% (19)

  • Member Since:

    May 23rd, 2015

  • Available QTY

    1 items

  • Buy Now

    $10.00 (Reference Only)

  • 0.000958 BTC

  • 0.226971 LTC

  • Item ID

    #3136094

  • Condition

    Brand New

  • Ending

  • Watch List

Item description

Attention: Digital Books. We DO NOT sell the paper version of the book.
This is NOT a physical book, it is an eBook in PDF/EPUB/MOBI formats.

eBook's will be delivered straight to your PayPal email...!!!
eBook that you purchase we will send to your E-mail address that you use on PayPal or any-other email you choose...

File Formats : PDF , EPUB , MOBI


================================================

Instructs readers on how to use methods of statistics and experimental design with R software

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory.

Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background―taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics.

Offers a practical over theoretical approach to the subject of applied statistics
Provides a pre-experimental as well as post-experimental approach to applied statistics
Features classroom tested material
Applicable to a wide range of people working in experimental design and all empirical sciences
Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes

Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

  • You might also like

    See all Items

    • loading...