Issues in assessing conceptual understanding in probability and statistics. Journal of Statistics Education, 3(1). Retrieved from http://www.amstat.org/publications/jse/v3n1/konold.htmlKonold, C. (1995), "Issues in Assessing Conceptual Understanding in Probability and Statistics," Journal of ...
In this course, you will... Kraaikamp,SU Why,How,... 被引量: 0发表: 0年 Math 2200: Introduction to Probability and Statistics Use the recommended problems to gain a though understanding of the basic concepts and to form a better expectation about exams. Nevertheless, please do ... P ...
Understanding Probability and Statistics A Book of Problems的书评 ··· ( 全部0 条 ) 论坛 ··· 在这本书的论坛里发言 + 加入购书单 谁读这本书? ··· 二手市场 ··· 在豆瓣转让 手里有一本闲着? 订阅关于Understanding Probability and Statistics A Book of Problems的评论: feed: ...
《A Modern Introduction to Probability and Statistics: Understanding Why and How》作者:Springer,出版社:2007年2月,ISBN:1127.10。
Then from the random thinking probability and Statistics, probability and statistics is a multidisciplinary characteristics and the linkages between the two, such as described in the understanding and awareness of their teaching. 翻译结果5复制译文编辑译文朗读译文返回顶部 ...
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Statistic - Springer - A Modern Introduction to Probability and Statistics - Understanding Why and How (2005) 星级: 483 页 A Modern Introduction To Probability And Statistics - Understanding Why And How (Springer 2005) 星级: 485 页 A Modern Introduction To Probability And Statistics Understanding...
In mathematical fina... HM Scherer - 《Statistics & Probability Letters》 被引量: 20发表: 2012年 Empirical Performance and Asset Pricing in Hidden Markov Models To improve the empirical performance of the Black-Scholes model, many alternative models have been proposed to address leptokurtic feature...
Bayesian statistics the fun way: understanding statistics and probability with Star Wars, LEGO, and rubber ducks. 机译:贝叶斯统计是一种有趣的方式:了解《星球大战》,乐高积木和橡皮鸭的统计和概率。 获取原文 获取原文并翻译|示例 获取外文期刊封面目录资料 ...
In statistics, the significance level defines the strength of evidence in probabilistic terms. Specifically, alpha represents the probability that tests will produce statistically significant results when the null hypothesis is correct. Rejecting a true null hypothesis is atype I error. And, the signifi...