Probabilistic Metric Spaces
(eBook)

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Published
Dover Publications, 2011.
Status
Available Online

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Format
eBook
Language
English
ISBN
9780486143750

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Citations

APA Citation, 7th Edition (style guide)

B. Schweizer., B. Schweizer|AUTHOR., & A. Sklar|AUTHOR. (2011). Probabilistic Metric Spaces . Dover Publications.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

B. Schweizer, B. Schweizer|AUTHOR and A. Sklar|AUTHOR. 2011. Probabilistic Metric Spaces. Dover Publications.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

B. Schweizer, B. Schweizer|AUTHOR and A. Sklar|AUTHOR. Probabilistic Metric Spaces Dover Publications, 2011.

MLA Citation, 9th Edition (style guide)

B. Schweizer, B. Schweizer|AUTHOR, and A. Sklar|AUTHOR. Probabilistic Metric Spaces Dover Publications, 2011.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDcacd218b-88ee-4460-1e76-7d10cb1249dc-eng
Full titleprobabilistic metric spaces
Authorschweizer b
Grouping Categorybook
Last Update2022-10-18 20:50:33PM
Last Indexed2024-04-27 04:24:00AM

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    [synopsis] => This distinctly nonclassical treatment focuses on developing aspects that differ from the theory of ordinary metric spaces, working directly with probability distribution functions rather than random variables. The two-part treatment begins with an overview that discusses the theory's historical evolution, followed by a development of related mathematical machinery. The presentation defines all needed concepts, states all necessary results, and provides relevant proofs. The second part opens with definitions of probabilistic metric spaces and proceeds to examinations of special classes of probabilistic metric spaces, topologies, and several related structures, such as probabilistic normed and inner-product spaces. Throughout, the authors focus on developing aspects that differ from the theory of ordinary metric spaces, rather than simply transferring known metric space results to a more general setting.
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