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Statistics for Nuclear and Particle Physicists
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Statistics for Nuclear and Particle Physicists

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Statistics for Nuclear and Particle Physicists

Statistics for Nuclear and Particle Physicists

Louis LyonsMatematik og naturvidenskab

429,95 kr

Til butik
Varenr.:
9780521379342

This book, written by a non-statistician for non-statisticians, emphasises the practical approach to those problems in statistics that arise regularly in data analysis situations in nuclear and high-energy physics experiments. Rather than concentrating on formal proofs of theorems, an abundant use of simple examples illustrates the general ideas that are presented, showing the reader how to obtain the maximum information from the data in the simplest manner. Possible difficulties with the various techniques, and pitfalls to be avoided, are also discussed. Based on a series of lectures given by the author to both students and staff at Oxford, this common-sense approach to statistics will enable nuclear physicists to understand better how to do justice to their data in both analysis and interpretation. This title is also available as open access on Cambridge Core.

Læs mere hos Saxo DK
Statistics for Nuclear and Particle Physicists

Statistics for Nuclear and Particle Physicists

Louis LyonsBog

429,95 kr

Til butik
Varenr.:
9780521379342

This book, written by a non-statistician for non-statisticians, emphasises the practical approach to those problems in statistics that arise regularly in data analysis situations in nuclear and high-energy physics experiments. Rather than concentrating on formal proofs of theorems, an abundant use of simple examples illustrates the general ideas that are presented, showing the reader how to obtain the maximum information from the data in the simplest manner. Possible difficulties with the various techniques, and pitfalls to be avoided, are also discussed. Based on a series of lectures given by the author to both students and staff at Oxford, this common-sense approach to statistics will enable nuclear physicists to understand better how to do justice to their data in both analysis and interpretation. This title is also available as open access on Cambridge Core.

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