Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Wei-Hwa Wu"'
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background The non-inferiority test is a reasonable approach to assessing a new treatment in a three-arm trial. The three-arm trial consists of a placebo, reference, and an experimental treatment. The non-inferiority is often measured by the
Externí odkaz:
https://doaj.org/article/c8d2adc0dc62434099d0c4fc4bff426d
Autor:
Wei-Hwa Wu, Hsin-Neng Hsieh
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-18
Autor:
Wei-Hwa Wu
Publikováno v:
The North American Journal of Economics and Finance. 58:101549
In this paper, the model of extendible stock loan with forbearance is proposed. The loan is extendible, so as to prevent immediate losses or to prevent subsequent price drop; while the forbearance is granted only when the pledged share’s value is a
Publikováno v:
Journal of Applied Statistics. 45:956-970
For the sign testing problem about the normal variances, we develop the heuristic testing procedure based on the concept of generalized test variable and generalized p-value. A detailed simulation study is conducted to empirically investigate the per
Publikováno v:
Journal of Applied Statistics. 43:550-562
Non-inferiority tests are often measured for the diagnostic accuracy in medical research. The area under the receiver operating characteristic (ROC) curve is a familiar diagnostic measure for the overall diagnostic accuracy. Nevertheless, since it ma
Autor:
Tai-Wei Zhang, Wei-Hwa Wu
Publikováno v:
The North American Journal of Economics and Finance. 29:146-155
This study examines the relationship between the high-yield bonds market and the stock market and indicates that stock returns lead high-yield bond returns. Specifically, this study further shows that this lead–lag relationship is more solid during
Autor:
Hsin-Neng Hsieh, Wei-Hwa Wu
Publikováno v:
Journal of Applied Statistics. 41:1471-1485
Highly skewed and non-negative data can often be modeled by the delta-lognormal distribution in fisheries research. However, the coverage probabilities of extant interval estimation procedures are less satisfactory in small sample sizes and highly sk