Order Total (1 Item Items):
Shipping Destination:
Conditional Independence Applied Probability by Pfeiffer P E (15 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (15)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (11)
- As New, Fine or Near Fine (3)
- Very Good or Good (1)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (15)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (9)
- Not Print on Demand (11)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Soft cover. Condition: Good. No Jacket. Conditional Independence in Applied Probability (Modules and Monographs in Undergraduate Mathematics and Its Applications Project), Paul E Pfeiffer, Education Development Center, 1979, approx. 150p, trade pb, covers bumped/scuffed, text clean, solid binding--23.00.
-
Condition: New.
-
Conditional Independence in Applied Probability (Paperback or Softback)
Language: English
Published by Birkhauser 11/9/2011, 2011
ISBN 10: 1461263379 ISBN 13: 9781461263371
Paperback or Softback. Condition: New. Conditional Independence in Applied Probability. Book.
-
Conditional Independence in Applied Probability (Modules and Monographs in Undergraduate Mathematics and Its Applications)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 48.98
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Conditional Independence in Applied Probability
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Condition: New. pp. 168.
-
Condition: New.
-
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - It would be difficult to overestimate the importance of stochastic independence in both the theoretical development and the practical appli cations of mathematical probability. The concept is grounded in the idea that one event does not 'condition' another, in the sense that occurrence of one does not affect the likelihood of the occurrence of the other. This leads to a formulation of the independence condition in terms of a simple 'product rule,' which is amazingly successful in capturing the essential ideas of independence. However, there are many patterns of 'conditioning' encountered in practice which give rise to quasi independence conditions. Explicit and precise incorporation of these into the theory is needed in order to make the most effective use of probability as a model for behavioral and physical systems. We examine two concepts of conditional independence. The first concept is quite simple, utilizing very elementary aspects of probability theory. Only algebraic operations are required to obtain quite important and useful new results, and to clear up many ambiguities and obscurities in the literature.
-
Conditional Independence in Applied Probability
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
-
Condition: As New. Unread book in perfect condition.
-
Condition: New. Print on Demand pp. 168 22:B&W 5.5 x 8.5 in or 216 x 140 mm (Demy 8vo) Perfect Bound on White w/Gloss Lam.
-
Condition: New. PRINT ON DEMAND pp. 168.
-
Conditional Independence in Applied Probability
Language: English
Published by Birkhäuser Boston Nov 2011, 2011
ISBN 10: 1461263379 ISBN 13: 9781461263371
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -It would be difficult to overestimate the importance of stochastic independence in both the theoretical development and the practical appli cations of mathematical probability. The concept is grounded in the idea that one event does not 'condition' another, in the sense that occurrence of one does not affect the likelihood of the occurrence of the other. This leads to a formulation of the independence condition in terms of a simple 'product rule,' which is amazingly successful in capturing the essential ideas of independence. However, there are many patterns of 'conditioning' encountered in practice which give rise to quasi independence conditions. Explicit and precise incorporation of these into the theory is needed in order to make the most effective use of probability as a model for behavioral and physical systems. We examine two concepts of conditional independence. The first concept is quite simple, utilizing very elementary aspects of probability theory. Only algebraic operations are required to obtain quite important and useful new results, and to clear up many ambiguities and obscurities in the literature. 168 pp. Englisch.
-
Conditional Independence in Applied Probability
Language: English
Published by Birkhäuser, Birkhäuser Nov 2011, 2011
ISBN 10: 1461263379 ISBN 13: 9781461263371
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -It would be difficult to overestimate the importance of stochastic independence in both the theoretical development and the practical appli cations of mathematical probability. The concept is grounded in the idea that one event does not 'condition' another, in the sense that occurrence of one does not affect the likelihood of the occurrence of the other. This leads to a formulation of the independence condition in terms of a simple 'product rule,' which is amazingly successful in capturing the essential ideas of independence. However, there are many patterns of 'conditioning' encountered in practice which give rise to quasi independence conditions. Explicit and precise incorporation of these into the theory is needed in order to make the most effective use of probability as a model for behavioral and physical systems. We examine two concepts of conditional independence. The first concept is quite simple, utilizing very elementary aspects of probability theory. Only algebraic operations are required to obtain quite important and useful new results, and to clear up many ambiguities and obscurities in the literature.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 168 pp. Englisch.
