Search
 
Home| Join Our Mailing List| New Reviews| New Titles
Editor's Choice| Bestsellers| Textbooks| Book Series| Study Guides| E-Catalogues
  MATHEMATICS
  Applied Mathematics
General
Mathematical Finance/
Quantitative Finance

Mathematical Physics/
Theoretical Physics

Numerical & Computational
Mathematics

Probability & Statistics
Pure Mathematics
New Titles
August Bestsellers
Editor's Choice
Nobel Lectures
Textbooks
Recent Reviews
Book Series
Related Journals
  • Reviews in Mathematical Physics (RMP)
  • International Journal of Geometric Methods in Modern Physics (IJGMMP)
  • International Journal of Number Theory (IJNT)
  • Request for related catalogues
     
      PRODUCTS
      Journals
    eBooks
    Journals Archives
    eProceedings
     
      RESOURCES
      For Librarians
    For Authors
    For Booksellers
    For Translation Rights About Us
    Contact Us
    How to Order News
    Inspection Copy
     
    EXPECT THE UNEXPECTED
    A First Course in Biostatistics

    by Raluca Balan (University of Ottawa, Canada) & Gilles Lamothe (University of Ottawa, Canada)

    Statistical reasoning and modeling are of critical importance to modern biology. This textbook introduces fundamental concepts from probability and statistics which will pave the way for the student of biology to become a well-rounded scientist. No previous study of probability or statistics is assumed. Calculus topics are not used extensively in this book, though some integration and differentiation are expected. The calculus prerequisite is primarily intended to assure a certain level of mathematical maturity.

    This book puts emphasis on examples, which are presented to motivate the theory. The presentation style is concise and self-contained, briefly including the mathematical elements that are needed for studying probability and statistics. The examples are relevant to students in the life sciences with interests in genetics, biology, ecology, health, etc.

    We believe that aspects of probability theory are of biological interest and that probability underlies the theory of inferential statistics. Thus, we place an equal emphasis on probability and statistics which are both essential for solving and understanding many types of biological problems.

     
    Contents:
    • Probability:
      • Probability
      • Combinatorial Techniques
      • Elementary Genetics
      • Conditional Probability
      • Bayes' Rule
      • Statistical Independence
      • Discrete and Continuous Random Variables
      • Binomial
      • Poisson
      • Normal Distributions
    • Statistics:
      • Gathering and Describing Data
      • Sampling Distributions
      • Point and Interval Estimation
      • Hypothesis Testing
      • Comparison of Two Independent Samples
      • Paired Samples
      • Categorical Data, Regression and Correlation
     
    Readership: Undergraduates in the life and natural sciences.
     


     
    200pp (approx.)    Pub. date: Scheduled Winter 2010  
    ISBN:   978-981-4291-32-3
    981-4291-32-3
       US$48 / £36

     


     

    Imperial College Press  |  Global Publishing  |  Asia-Pacific Biotech News  |  Innovation Magazine
    Labcreations Co  |  Meeting Matters  |  National Academies Press

    Copyright © 2009 World Scientific Publishing Co. All rights reserved.
    Updated on 20 November 2009