Order Total (1 Item Items):
Shipping Destination:
Resampling Based Multiple Testing Examples by Westfall Peter (12 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (12)
- 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 (6)
- As New, Fine or Near Fine (2)
- Very Good or Good (3)
- Fair or Poor (No further results match this refinement)
- As Described (1)
Binding
- All Bindings
- Hardcover (12)
- Softcover (No further results match this refinement)
Collectible Attributes
- First Edition (2)
- Signed (No further results match this refinement)
- Dust Jacket (1)
- Seller-Supplied Images (6)
- Not Print on Demand (12)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
Seller Location
Seller Rating
-
Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment
Language: English
Published by John Wiley & Sons, New York, 1993
ISBN 10: 0471557617 ISBN 13: 9780471557616
First Edition
Hardcover. Condition: Good. Dust Jacket Condition: No Dust Jacket. First Edition. An ex-library copy in original dark blue cloth lettered in gold. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket. Book.
-
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
hardcover. Condition: Very Good. 1st Edition. Used - Very Good.
-
Resampling-based multiple testing examples and methods for P-value adjustment Peter H. Westfall, S. Stanley Young. Wiley publications in statistics Applied statistics.
Language: English
Published by New York, Wiley [1993]., 1993
ISBN 10: 0471557617 ISBN 13: 9780471557616
Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 WES 9780471557616 Sprache: Englisch Gewicht in Gramm: 1150.
-
hardcover. Condition: new.
-
Resampling-Based Multiple Testing : Examples and Methods for P-Value Adjustment
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 152.97
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
-
-
Condition: As New. Unread book in perfect condition.
-
Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment (Wiley Series in Probability and Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 172.70
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Resampling-Based Multiple Testing : Examples and Methods for P-Value Adjustment
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 179.12
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Buch. Condition: Neu. Neuware - Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
