Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Handbook of Markov Chain Monte Carlo: Hardcover: 619 pages Publisher: Chapman and Hall/CRC Press (first edition, May 2011) Language: English ISBN-10: 1420079417

Handbook of Markov Chain Monte Carlo: Hardcover: 619 pages Publisher: Chapman and Hall/CRC Press... 5 and 1/4, respectively, they conclude that B gives a further reading smaller p-value for the test of whether the pill has Berger, J. 2003. Could Fisher, Jeffreys, and Neyman no eff ect. Because 20/10 = 2 and 5/(1/2) = 10. Hence have agreed on testing? Statistical Science 18 :1–12. demonstrating how p-values can go wrong . er Th e are (with discussion) two misleading issues. First, the diets are compared Denis, D. 2004. The modern hypothesis testing hybrid: in terms of mean eff ects, not observations, so outside R.A. Fisher’s fading influence. J. Soc. Française Stat- statistics. Second, running a t-test of nullity of the mean ist. 145:5–26. (with discussion) is not meaningful in this case. What imports is whether one diet is more effi cient than the other. Assuming a Hoenig, J., and D. Heisey. 2001. The abuse of power. normal distribution, we have: The American Statistician 55:19–24. Jeffreys, H. 1939. Theory of probability. Oxford: The PA () >= BP(/ X >−15 25+= 11 /) 62 Φ(.996). = 0 999, Clarendon Press. Mayo, D., and A. Spanos. 2010. Error and inference: which sounds like a rather good argument in favor of Recent exchanges on experimental reasoning, reli- http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Chance Taylor & Francis

Handbook of Markov Chain Monte Carlo: Hardcover: 619 pages Publisher: Chapman and Hall/CRC Press (first edition, May 2011) Language: English ISBN-10: 1420079417

Chance , Volume 25 (1): 3 – Feb 29, 2012
3 pages

Loading next page...
 
/lp/taylor-francis/handbook-of-markov-chain-monte-carlo-hardcover-619-pages-publisher-v5fqrpTF9j

References (146)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1867-2280
eISSN
0933-2480
DOI
10.1080/09332480.2012.668472
Publisher site
See Article on Publisher Site

Abstract

5 and 1/4, respectively, they conclude that B gives a further reading smaller p-value for the test of whether the pill has Berger, J. 2003. Could Fisher, Jeffreys, and Neyman no eff ect. Because 20/10 = 2 and 5/(1/2) = 10. Hence have agreed on testing? Statistical Science 18 :1–12. demonstrating how p-values can go wrong . er Th e are (with discussion) two misleading issues. First, the diets are compared Denis, D. 2004. The modern hypothesis testing hybrid: in terms of mean eff ects, not observations, so outside R.A. Fisher’s fading influence. J. Soc. Française Stat- statistics. Second, running a t-test of nullity of the mean ist. 145:5–26. (with discussion) is not meaningful in this case. What imports is whether one diet is more effi cient than the other. Assuming a Hoenig, J., and D. Heisey. 2001. The abuse of power. normal distribution, we have: The American Statistician 55:19–24. Jeffreys, H. 1939. Theory of probability. Oxford: The PA () >= BP(/ X >−15 25+= 11 /) 62 Φ(.996). = 0 999, Clarendon Press. Mayo, D., and A. Spanos. 2010. Error and inference: which sounds like a rather good argument in favor of Recent exchanges on experimental reasoning, reli-

Journal

ChanceTaylor & Francis

Published: Feb 29, 2012

There are no references for this article.