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Statistics and Analysis of Scientific Data (Hardcover, 3rd ed. 2022)
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Statistics and Analysis of Scientific Data (Hardcover, 3rd ed. 2022)
Series: Graduate Texts in Physics
Expected to ship within 12 - 17 working days
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This book is the third edition of a successful textbook for
upper-undergraduate and early graduate students, which offers a
solid foundation in probability theory and statistics and their
application to physical sciences, engineering, biomedical sciences
and related disciplines. It provides broad coverage ranging from
conventional textbook content of probability theory, random
variables, and their statistics, regression, and parameter
estimation, to modern methods including Monte-Carlo Markov chains,
resampling methods and low-count statistics. In addition to minor
corrections and adjusting structure of the content, particular
features in this new edition include: Python codes and
machine-readable data for all examples, classic experiments, and
exercises, which are now more accessible to students and
instructors New chapters on low-count statistics including the
Poisson-based Cash statistic for regression in the low-count
regime, and on contingency tables and diagnostic testing. An
additional example of classic experiments based on testing data for
SARS-COV-2 to demonstrate practical applications of the described
statistical methods. This edition inherits the main pedagogical
method of earlier versions-a theory-then-application approach-where
emphasis is placed first on a sound understanding of the underlying
theory of a topic, which becomes the basis for an efficient and
practical application of the materials. Basic calculus is used in
some of the derivations, and no previous background in probability
and statistics is required. The book includes many numerical tables
of data as well as exercises and examples to aid the readers'
understanding of the topic.
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