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A Concise Guide to Statistics
Hans-Michael Kaltenbach
€ 66.97
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Description for A Concise Guide to Statistics
Paperback. 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. Series: SpringerBriefs in Statistics. Num Pages: 111 pages, 33 black & white illustrations, 5 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 160 x 8. Weight in Grams: 206. Series: Springerbriefs in Statistics. 128 pages, black & white illustrations. 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. Cateogry: (P) Professional & Vocational. BIC Classification: PBT. Dimension: 234 x 160 x 8. Weight: 206.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages
110
Format
Paperback
Publication date
2011
Series
SpringerBriefs in Statistics
Condition
New
Weight
206g
Number of Pages
111
Place of Publication
Berlin, Germany
ISBN
9783642235016
SKU
V9783642235016
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Hans-Michael Kaltenbach
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 ... Read more
Reviews for A Concise Guide to Statistics
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 ... Read more