Which Statistics Book for Error Analysis & Data Fitting?

[faizlo]

Hi,

Well, I thought posting this question here is more relevant.
I want to self-study a book about error analysis and data fitting. I have two books available, the one by bevington and robinson: "Data Reduction and Error Analysis for the Physical Sciences" and the one by taylor: "An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements"

I would like your opinion, which one should I start with? I am doing an experimental particle physics research and I need to know about error analysis and data fitting.

thanks in advance,

~faizlo

 

[Dr Transport]

either is good, bevington is a classic.

 

[Theorem.]

I'm using Taylor and it's great.

 

[faizlo]

Thanks for the replies.

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Admin. Thank you for moving the thread, I did not know about the Academic Guidance/Science Books Discussions...It is great!

 

[rezeew]

Hello faizlo,

Both of the books you mentioned are excellent resources for learning about error analysis and data fitting. It really depends on your personal preference and learning style. Bevington and Robinson's book is more focused on the physical sciences, so if your research is specifically in that field, it may be more applicable to your work. Taylor's book, on the other hand, provides a more general overview of error analysis and is a popular choice for many scientists in various fields.

If you are looking for a more in-depth and technical approach, Bevington and Robinson's book may be the better choice. However, if you are new to error analysis and data fitting, Taylor's book may be a good starting point as it provides a more accessible and easy-to-understand explanation of the concepts.

Ultimately, I would recommend looking through both books and seeing which one resonates with you more. It's also worth considering if you have any colleagues or mentors who have experience with either book and can provide guidance and support as you work through it. Whichever book you choose, I'm sure it will be a valuable resource in your research. Good luck!

Best,