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About this product
- DescriptionAn introduction into fundamental concepts in statistics. It includes chapters on: short exposition of probability theory, using generic examples; estimation in theory and practice, using biologically motivated examples; and, Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results.
- Author BiographyHans-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.
- Author(s)Hans-Michael Kaltenbach
- PublisherSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Date of Publication18/09/2011
- Series TitleSpringerBriefs in Statistics
- Place of PublicationBerlin
- Country of PublicationGermany
- ImprintSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Content Note33 black & white illustrations, 5 black & white tables, biography
- Weight207 g
- Width156 mm
- Height234 mm
- Spine6 mm
- Format DetailsTrade paperback (US)
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