书目名称 | Statistics with Posterior Probability and a PHC Curve | 编辑 | Hideki Toyoda | 视频video | http://file.papertrans.cn/877/876776/876776.mp4 | 概述 | Contains groundbreaking content that reconstructs statistics from the perspective of posterior probability.Overcomes the “reproducibility crisis” caused by the misuse of significance tests.Is a statis | 图书封面 |  | 描述 | .This textbook reconstructs the statistics curriculum from the perspective of posterior probability...In recent years, there have been several reports that the results of studies using significant tests cannot be reproduced. It is a problem called a “reproducibility crisis”. For example, suppose we could reject the null hypothesis that “the average number of days to recovery in patients who took a new drug was the same as that in the control group”. However, rejecting the null hypothesis is only a necessary condition for the new drug to be effective. Even if the necessary conditions are met, it does not necessarily mean that the new drug is effective. In fact, there are many cases where the effect is not reproduced. Sufficient conditions should be presented, such as “the average number of days until recovery in patients who take new drugs is sufficiently short compared to the control group, evaluated from a medical point of view”, without paying attention to necessary conditions. ..This book reconstructs statistics from the perspective of PHC, i.e., probability that a research hypothesis is correct. For example, the PHC curve shows the posterior probability that the statement “The | 出版日期 | Textbook 2024 | 关键词 | Bayesian Statistics; Posterior Probability; Generated Quantities; Markov Chain Monte Carlo Method; MCMC; | 版次 | 1 | doi | https://doi.org/10.1007/978-981-97-3094-0 | isbn_softcover | 978-981-97-3096-4 | isbn_ebook | 978-981-97-3094-0 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
The information of publication is updating
|
|