Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Liu Chuanhai"'
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 13, Pp 1258-1262 (2021)
Objective To compare the effects of ureteroscopic holmium laser incision and internal drainage surgery with posterior laparoscopic decompression on the stress response of patients with parapelvic cyst. Methods A total of 42 patients with parapelvic c
Externí odkaz:
https://doaj.org/article/64ca9a1dc352415a8f86befe3f2d3879
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Coal and gas outbursts are geological disasters occurring in the process of coal mining that can cause serious casualties and economic losses, among which CH4 is the main component of coal mine gas. However, there are still many coal seams around the
Externí odkaz:
https://doaj.org/article/eb0a9deabfd94cada9d5d6b8b3dd85fe
While widely used as a general method for uncertainty quantification, the bootstrap method encounters difficulties that raise concerns about its validity in practical applications. This paper introduces a new resampling-based method, termed $\textit{
Externí odkaz:
http://arxiv.org/abs/2408.16763
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
Accurate determination of the characteristics of coal mine gas separation products is the key for gas separation applications based on hydrate technology. Gas hydrates are synthesized from gases with two types of compositions (CO2-CH4-N2). The separa
Externí odkaz:
https://doaj.org/article/893827c768ae467f9e25a24783bde496
Autor:
Liu, Chuanhai, Martin, Ryan
Statistical inference as a formal scientific method to covert experience to knowledge has proven to be elusively difficult. While frequentist and Bayesian methodologies have been accepted in the contemporary era as two dominant schools of thought, it
Externí odkaz:
http://arxiv.org/abs/2301.05257
The framework of Inferential Models (IMs) has recently been developed in search of what is referred to as the holy grail of statistical theory, that is, prior-free probabilistic inference. Its method of Conditional IMs (CIMs) is a critical component
Externí odkaz:
http://arxiv.org/abs/2301.05135
Inferential models have been proposed for valid and efficient prior-free probabilistic inference. As it gradually gained popularity, this theory is subject to further developments for practically challenging problems. This paper considers the many-no
Externí odkaz:
http://arxiv.org/abs/2301.04512
Autor:
Liu, Chuanhai
It is realized that existing powerful tests of goodness-of-fit are all based on sorted uniforms and, consequently, can suffer from the confounded effect of different locations and various signal frequencies in the deviations of the distributions unde
Externí odkaz:
http://arxiv.org/abs/2209.08150
Autor:
Liu, Chuanhai
This paper takes a look at omnibus tests of goodness of fit in the context of reweighted Anderson-Darling tests and makes threefold contributions. The first contribution is to provide a geometric understanding. It is argued that the test statistic wi
Externí odkaz:
http://arxiv.org/abs/2209.08050
Autor:
Liu, Chuanhai
Inferring the means in the multivariate normal model $X \sim N_n(\theta, I)$ with unknown mean vector $\theta=(\theta_1,...,\theta_n)' \in \mathbb{R}^n$ and observed data $X=(X_1,...,X_n)'\in {\mathbb R}^n$ is a challenging task, known as the problem
Externí odkaz:
http://arxiv.org/abs/2207.05190