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Statistics and Analysis of Scientific Data (Hardcover, 3rd ed. 2022) Loot Price: R1,444
Discovery Miles 14 440
You Save: R1,051 (42%)
Statistics and Analysis of Scientific Data (Hardcover, 3rd ed. 2022): Massimiliano Bonamente

Statistics and Analysis of Scientific Data (Hardcover, 3rd ed. 2022)

Massimiliano Bonamente

Series: Graduate Texts in Physics

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Was R2,495 Loot Price R1,444 Discovery Miles 14 440 | Repayment Terms: R135 pm x 12* You Save R1,051 (42%)

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Graduate Texts in Physics
Release date: July 2022
Authors: Massimiliano Bonamente
Dimensions: 235 x 155 x 37mm (L x W x T)
Format: Hardcover
Pages: 488
Edition: 3rd ed. 2022
ISBN-13: 978-981-19-0364-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 981-19-0364-6
Barcode: 9789811903649

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