SpringerBriefs in Statistics

A Concise Guide to Statistics

Authors: Kaltenbach, Hans-Michael

  • Focus on concepts rather than long calculations 
  • Several topics relevant to modern biology (multiple testing, minimax estimation) usually not found in similar texts 
  • Concise first introduction or repetition of fundamental concepts in statistics - Pointers to relevant R functions and datatypes 
  • Robust and nonparametric counterparts of classical estimators and tests given throughout the text
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  • ISBN 978-3-642-23502-3
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Softcover $39.95
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  • ISBN 978-3-642-23501-6
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Rent the ebook  
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About this book

The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher information and power computations. Methods for calculating confidence intervals and robust alternatives to standard estimators are given. Chapter 3: Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results. Several examples are provided. T-tests are used throughout, followed important other tests and robust/nonparametric alternatives. Multiple testing is discussed in more depth, and combination of independent tests is explained. Chapter 4: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations.

About the authors

Hans-Michael Kaltenbach received his Diploma in Mathematics from the University of Hannover, Germany in 2003 with a thesis on the stochastic runtime analysis of algorithms. Then he joined the International Graduate School for Bioinformatics and Genome Research at the University of Bielefeld, where he completed his PhD in 2007 with a thesis on efficient algorithms and statistics for protein identification using mass spectrometry. In 2007/2008 he became a postdoctoral fellow at the Institut Pasteur in Paris, France, working with Benno Schwikowski on algorithms for mass spectrometry and algorithms and statistics for the analysis of biological networks. Since 2008, he has been working as a postdoctoral fellow with Joerg Stelling in the computational systems biology group at the ETH Zurich, Switzerland.

Reviews

From the reviews:

“This slender volume … covers the basics of probability, estimation, hypothesis testing, and regression. The book would be a good refresher for someone with a basic background in statistics … . Overall, this is a very nice presentation of fundamental statistical methods for basic research. The writing is clear, and the mathematical presentation is careful and accurate. … Kaltenbach’s book will … be a good addition to the bookshelves of statistics students. Summing Up: Recommended. Upper-division undergraduates.” (R. L. Pour, Choice, Vol. 49 (11), July, 2012)


Table of contents (4 chapters)

Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-3-642-23502-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.95
price for USA
  • ISBN 978-3-642-23501-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
A Concise Guide to Statistics
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Hans-Michael Kaltenbach
eBook ISBN
978-3-642-23502-3
DOI
10.1007/978-3-642-23502-3
Softcover ISBN
978-3-642-23501-6
Series ISSN
2191-544X
Edition Number
1
Number of Pages
XIII, 111
Number of Illustrations and Tables
33 b/w illustrations
Topics