But I disagree with his (or his editor’s)claim thatthe t test is “the most important statistical method in science.” Sure, the t test has been used a lot, and it’s important for historical reasons, and it’s a mathematical or statistical breakthrough to use distribution theory to a...
Paper cited by Stanford medical school professor retracted—but even without considering the reasons for retraction, this paper was so bad that it should never have been cited. (22 comments) “AI” as shorthand for turning off our brains. (This is not an anti-AI post; it’s a discussion ...
The reasons for this are not difficult to comprehend - we are living in an electronic age surr... S Bajaj,R Johari - Second International Conference on Computational Intelligence & Communication Technology 被引量: 1发表: 2016年 The impact of the crisis on population and reproductive health in ...
Here, from myearlier post, are my rules for evaluating statistical studies: 1) In evaluating any study try to take into account the amount of background noise. That is, remember that the more hypotheses which are tested and the less selection which goes into choosing hypotheses the more likel...
There also are substantive reasons why Kanazawa’s hypothesis should not be dismissed out of hand, even though his results are not statistically significant. First, his findings are motivated theoretically by a well-respected model of Trivers and Willard (1973); see ...
This paper analyses consumption characteristics and reasons which contribute to high consumption quantity based on statistics of fish meal, feed industry, ... DU Yu-Wen,C Sun - 《Chinese Fisheries Economics》 被引量: 1发表: 2016年 System and methods for keeping information and data for proving ...
The new BP review is out. What a disappointment. Look at this picture. I opened two windows. The top layer is the 2013 review, the bottom layer is the new 2014 review, so the columns are shifted one year ahead for reasons of easy comparison. It’s about natural gas production. I lai...
(on average). The intervals are useless, however, which points toward the fact that when people ask you for an interval, you’re inclined (for Gricean reasons if no other) to provide some information. According to Dave Krantz, much of overconfidence of probability statements can be explained ...