We can easily find in many online sources, including here in Cross Validated, the claim that outliers shouldn't be removed from data (at least without a good reason). In the thread below, for example, this is the general advice given by most users:
I'd like to quote this claim from a trustworthy source, but I couldn't find such statement in any introductory statistics books.
Is this belief just general wisdom of the crowd or there is something to support it?
EDIT (Justification that this question is not duplicated)
Please, remark that this question is asking for academic references (e.g. the name of a book or a paper) for the claim (posts from CV are no enough for my current needs). Something that could be quoted in a business report or in an academic paper. The question is not concerned with the problem of removing outliers being a good practice or not, as previous questions here in CV.
The user davefournier suggested in the comments the book:
Robust Statistics, 2nd Edition Peter J. Huber, Elvezio M. Ronchetti ISBN: 978-0-470-12990-6
I just glimpsed at it and it seems promising. I still need to read it a little more to be sure if directly answers the question.