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请教有关“multiple range tests.”
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各位同仁，现遇一句话不太清楚“Please do not use multiple range tests. ”。我在多重比较时，用的是Duncan，而该刊有的文章用的是Tukey，请问“multiple range tests”与多重比较有什么关系？multiple range tests具体指什么？请不吝赐教？谢谢！！！ 补充：“Please do not use multiple range tests.” 这句话是在投稿说明里的，我现在还未投稿。 Guideline中的原文描述如下： Material and Methods: the Materials and methods section should include full details of the statistical techniques used and authors are advised to refer to the article "Guidance for the use and presentation of statistics" in Weed Research (1988) 28, 139-144. This guide is to be updated shortly. Preference is given to the presentation of standard errors of differences between means with appropriate degrees of freedom, rather than least significant differences in tables. Standard errors, etc., should be given to one more decimal place than the means to which they apply. Please do not use multiple range tests. [ Last edited by ljq2008 on 2009-10-11 at 10:22 ] |
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ljq2008(金币+1):谢谢参与
SHY31(金币+5,VIP+0):谢谢积极回答，给予专家奖励 10-11 09:36
ljq2008(金币+1):谢谢参与
SHY31(金币+5,VIP+0):谢谢积极回答，给予专家奖励 10-11 09:36
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从wiki上摘录的，国内是不是wiki被屏蔽了？？另外，虫友门要善于用google等搜索工具，很多知识网上都有，实在不行再来问 Duncan's new multiple range test From Wikipedia, the free encyclopedia Jump to: navigation, search In statistics, Duncan's new multiple range test (MRT) is a multiple comparison procedure developed by David B. Duncan in 1955. Duncan's MRT belongs to the general class of multiple comparison procedures that use the studentized range statistic qr to compare sets of means. Duncan's new multiple range test (MRT) is a variant of the Student–Newman–Keuls method that uses increasing alpha levels to calculate the critical values in each step of the Newman–Keuls procedure. Duncan's MRT attempts to control family wise error rate (FWE) at αew = 1 − (1 − αpc)k−1 when comparing k, where k is the number of groups. This results in higher FWE than unmodified Newman–Keuls procedure which has FWE of αew = 1 − (1 − αpc)k/2. David B. Duncan developed this test as a modification of the Student–Newman–Keuls method that would have greater power. Duncan's MRT is especially protective against false negative (Type II) error at the expense of having a greater risk of making false positive (Type I) errors. Duncan's test is commonly used in agronomy and other agricultural research. Duncan's test has been criticised as being too liberal by many statisticians including Henry Scheffé, and John W. Tukey. Duncan argued that a more liberal procedure was appropriate because in real world practice the global null hypothesis H0= "All means are equal" is often false and thus traditional statisticians overprotect a probably false null hypothesis against type I errors. Duncan later developed the Duncan–Waller test which is based on Bayesian principles. It uses the obtained value of F to estimate the prior probability of the null hypothesis being true. The main criticisms raised against Duncan's procedure are: * Duncan's MRT does not control family wise error rate at the nominal alpha level, a problem it inherits from Student–Newman–Keuls method. * The increased power of Duncan's MRT over Newman–Keuls comes from intentionally raising the alpha levels (Type I error rate) in each step of the Newman–Keuls procedure and not from any real improvement on the SNK method. [ Last edited by jhuiuc on 2009-10-11 at 06:52 ] |
7楼2009-10-11 06:50:03