Satterthwaite's method 【医】 萨脱斯威特氏法(人工呼吸) Delbastaille's method 【医】 德耳巴斯太耳氏法(锇酸的肿瘤注射) Kaiserling's method 凯塞林法 Bonnaire's method 【医】 邦内尔氏法(扩张子宫颈引产法) Fout s staining method 富特氏染色法 Custer's staining method 【医】 卡斯特氏染色法...
Marshall Hall's method (一种人工呼吸法) 马歇尔霍尔氏法 Marmo's method (新生儿窒息人工呼吸法) 马尔莫氏法 Nielsen's method (一种人工呼吸) 尼耳森氏法 stimulexin (呼吸系统兴奋药) 吗乙苯吡酮,吗啉吡咯酮 Stange's test (麻醉前检呼吸) 斯坦格氏试验 perfluamine (人工血液) 全氟三丙胺 roaded catchm...
What is the difference between pooled and Satterthwaite methods? The main difference is thatthe Satterthwaite approximation does not assume equal variances, whereas the pooled method does. In other words, you can always use the Satterthwaite method and be correct, but you can only use the pooled...
degrees of freedomSatterthwaite's approximationvariance functiontoxicokineticsBailer (1) developed a method for constructing confidence intervals for areas under ... JR Nedelman,E Gibiansky,DTW Lau - 《Pharmaceutical Research》 被引量: 272发表: 1995年 Bayesian alternative to the ISO-GUM's use of the...
The behavior of the usual t-statistic that assumes equal variances is contrasted to Satterthwaite''s approximate t- statistic and Scheffe''s method. An ... Ames,H Michael - 《Journal of Biopharmaceutical Statistics》 被引量: 31发表: 1996年 The two-sample t-test with a known ratio of varia...
Method: The null hypothesis in case of two groups with unequal variances is that the two variances are different. Such a situation may arise while comparing two production processes for comparing line performance. This assumption has to be affirmed or negated through the test. ...
The third is another fast accurate deconvolution technique using Showalter's method, we call Analytical Showalter's Spectral Filtering (ASSF). Through systematic evaluation on phantom and clinical data, the proposed methods are shown to be computationally more than twice as fast as FDD. The two ...
Prepivoting of the proposed method, using the double-parametric bootstrap, is implemented and shows further coverage improvement. The double bootstrap is most efficiently implemented by using the saddlepoint approximation in lieu of the inner layer of resampling; therefore, only a single outer layer ...