A Concise Guide to Statistics

ISBN-13: 9783642235016 / Angielski / Miękka / 2011 / 111 str.

Hans-Michael Kaltenbach

Opis

An 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.

Recenzje

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)

Spis treści

Basics of Probability Theory.- Estimation.- Hypothesis Testing.- Regression.-  References.- Index.

O autorze

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.