Julien L. Simon. Resampling: The new statistics. Duxbury Press, Belmont, CA, 1992. http://www.statistics.com.  Home/Search Document Not in Database Summary Related Articles Check |
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Replication of the first controlled experiment on the.. - Prechelt, Unger, Schmidt (1997) (Correct)
....have very different shapes and few of them are anything close to normal. In contrast to classical statistical methods, resampling avoids distributional assumptions and allows for using the same procedure in all cases. A nice introduction into resampling for statistical laymen is by Simon [11]. Readers with deeper statistical knowledge may prefer the more mathematical yet highly understandable text of Efron and Tibshirani [4] The only other statistical test used is the # 2 test on a four field table for testing the significance of frequency differences of a binary attribute. The ....
Julien L. Simon. Resampling: The new statistics. Duxbury Press, Belmont, CA, 1992. http://www.statistics.com. 77
Making the Most of Statistical Analyses: Improving.. - King, Tomz, Wittenberg (1999) (Correct)
.... methods are taught, students get the right answer far more often via simulation (Simon, Atkinson and Shevokas, 1976) One scholar has even offered a 5,000 reward for anyone who can demonstrate the superiority of teaching analytical methods, but so far no one has managed to earn the prize (Simon 1992). Of course, there are advantages to understanding the mathematics underlying the delta method and 4 When g is linear there is obviously no need for a linearizing approximation; an exact analytical solution exists for the mean and variance of many quantities of interest that we described ....
Simon, Julian Lincoln. 1992. Resampling: The New Statistics. Arlington, VA : Resampling Stats.
An experiment on the usefulness of design patterns: Detailed.. - Prechelt (1997) (Correct)
....have very different shapes and few of them are anything close to normal. In contrast to classical statistical methods, resampling avoids distributional assumptions and allows for using the same procedure in all cases. A nice introduction into resampling for statistical laymen is by Simon [8]. Readers with deeper statistical knowledge may prefer the more mathematical yet highly understandable text of Efron and Tibshirani [4] The only other statistical test used is the 2 test on a four field table for testing the significance of frequency differences of a binary attribute. The ....
Julien L. Simon. Resampling: The new statistics. Duxbury Press, Belmont, CA, 1992. http://www.statistics.com.
Replication of the first controlled experiment on the.. - Prechelt, Unger, Schmidt (1997) (Correct)
....have very different shapes and few of them are anything close to normal. In contrast to classical statistical methods, resampling avoids distributional assumptions and allows for using the same procedure in all cases. A nice introduction into resampling for statistical laymen is by Simon [11]. Readers with deeper statistical knowledge may prefer the more mathematical yet highly understandable text of Efron and Tibshirani [4] The only other statistical test used is the 2 test on a four field table for testing the significance of frequency differences of a binary attribute. The ....
Julien L. Simon. Resampling: The new statistics. Duxbury Press, Belmont, CA, 1992. http://www.statistics.com.
Simulation and Bootstrapping for Teaching Statistics - Hesterberg (Correct)
.... labs are more common, and faculty are becoming more familiar with bootstrap methods; this last trend will accelerate as young faculty who have been exposed to the bootstrap in their studies begin teaching (many of the books on the bootstrap and other resampling methods are quite recent, including [11, 14, 15, 18, 21, 31, 40, 26, 25, 33, 35, 43]) 2.2 Other resampling methods Many of the statistical and pedagogical advantages of the bootstrap hold for some other resampling methods, notably permutation tests. They also use simulation (or exact calculations) to produce estimates of the sampling distribution of a statistic, and are not ....
....and designs which are not oriented for statistics. I have found them frustrating for statistical work, particularly with missing data. 3.4 Resampling software Resampling Stats is a special purpose simulation and resampling program. that has been heavily promoted for teaching statistics using SAB [8, 37, 35, 34]. It is inadequate for teaching statistics. Its capabilities are extremely limited; it does not even do scatterplots, for instance. I believe Hinkley was thinking of this program when he wrote We are also beginning to see the first wave of software products which claim to do bootstrap analysis: ....
J. L. Simon. Resampling: The new statistics. Resampling Stats, Arlington, Virginia, 1992.
Replication of the first controlled experiment - On The Usefulness (Correct)
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Julien L. Simon. Resampling: The new statistics. Duxbury Press, Belmont, CA, 1992. http://www.statistics.com.
An experiment on the usefulness of design patterns.. - Lutz Prechelt Prechelt (Correct)
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Julien L. Simon. Resampling: The new statistics. Duxbury Press, Belmont, CA, 1992. http://www.statistics.com. 117
Resampling Permutation Exact Tests - Using Restat For (2003) (Correct)
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. Simon, J. L. (1998). Resampling: The new statistics. [On-line] Available: http://www.resample.com/book/contents.htm
A controlled experiment on the effects of PSP training.. - Prechelt, Unger (1999) (1 citation) (Correct)
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Julien L. Simon. Resampling: The new statistics. Duxbury Press, Belmont, CA, 1992. http://www.statistics.com.
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