Statistics and Analysis of Scientific Data

This book is a comprehensive and up-to-date textbook on probability theory and statistics, designed for upper-undergraduate and early graduate students in the physical sciences, engineering, biomedical sciences, and related disciplines. It offers a solid foundation in probability theory and statistics, covering traditional topics as well as modern methods such as Monte-Carlo Markov chains, resampling methods, and low-count statistics. The third edition includes Python codes, machine-readable data, and new chapters on low-count statistics and practical applications. It adopts a theory-then-application approach, with basic calculus used in some derivations, and includes numerous numerical tables, exercises, and examples to aid in understanding the material.

Format: Hardback
Length: 488 pages
Publication date: 28 July 2022
Publisher: Springer Verlag, Singapore

This comprehensive textbook serves as a valuable resource for upper-undergraduate and early graduate students seeking a solid foundation in probability theory and statistics,with applications in physical sciences,engineering,biomedical sciences,and related disciplines. Written in an accessible style,it offers a wide range of coverage,from traditional textbook topics such as probability theory,random variables,and their statistics,regression,and parameter estimation,to modern methods including Monte-Carlo Markov chains,resampling techniques,and low-count statistics.

To enhance accessibility and practicality,this third edition includes numerous updates and additions. Python codes and machine-readable data for all examples,classic experiments,and exercises have been incorporated,making them more readily accessible to students and instructors. New chapters have been dedicated to low-count statistics,including the Poisson-based Cash statistic for regression in the low-count regime,and contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARS-COV-2 has been included to demonstrate the practical applications of the statistical methods described.

The pedagogical approach adopted in this edition remains consistent with previous versions, emphasizing a theory-then-application approach. A strong understanding of the underlying theory is emphasized,which serves as the foundation for efficient and practical application of the materials. Basic calculus is used in some of the derivations,and no prior background in probability and statistics is required. The book is supplemented with numerous numerical tables of data, exercises,and examples to facilitate the readers' understanding of the topic.

In summary,this textbook is an essential resource for students pursuing careers in fields that require a strong understanding of probability theory and statistics. Its comprehensive coverage,updated content,and practical applications make it an invaluable tool for advancing knowledge and skills in this field.

Weight: 928g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811903649
Edition number: 3rd ed. 2022