Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Xianzheng Huang"'
Publikováno v:
Stats, Vol 7, Iss 1, Pp 317-332 (2024)
A new unimodal distribution family indexed via the mode and three other parameters is derived from a mixture of a Gumbel distribution for the maximum and a Gumbel distribution for the minimum. Properties of the proposed distribution are explored, inc
Externí odkaz:
https://doaj.org/article/f883312b2e2b4e0ca5912ea3e8fa1dac
Autor:
Xianzheng HUANG, Zhaofeng XU, Yong SUN, Yali XUE, Zhe WANG, Zhijun LIU, Zhenyuan LI, Weidou NI
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 6, Iss 5, Pp 992-1003 (2018)
Abstract As one of promising clean and low-emission energy, wind power is being rapidly developed in China. However, it faces serious problem of wind curtailment, particularly in northeast China, where combined heat and power (CHP) units cover a larg
Externí odkaz:
https://doaj.org/article/5e1a50c475ed4295a68b93dfb73c0f71
Autor:
Shizhong Song, Pei Liu, Jing Xu, Linwei Ma, Chinhao Chong, Min He, Xianzheng Huang, Zheng Li, Weidou Ni
Publikováno v:
Energies, Vol 10, Iss 1, p 8 (2016)
The development of district heating systems of corn straw densified fuel (CSDF-DHS) is an important option to promote the use of bioenergy on a large scale for sustainable development, especially in China. At present, China’s biomass densified soli
Externí odkaz:
https://doaj.org/article/c59e4128e33d4020a3ad03079c9c776e
Publikováno v:
In Energy Procedia July 2017 114:6677-6684
Publikováno v:
Bayesian Analysis; Dec2023, Vol. 18 Issue 4, p1341-1366, 26p
Autor:
Xianzheng Huang, Hongmei Zhang
Publikováno v:
Statistics in Medicine. 40:2692-2712
Motivated by inferring cellular signaling networks using noisy flow cytometry data, we develop procedures to draw inference for Bayesian networks based on error-prone data. Two methods for inferring causal relationships between nodes in a network are
Publikováno v:
Bayesian Analysis.
Autor:
Xianzheng Huang
Publikováno v:
Statistical Methods & Applications. 30:437-459
In the framework of generalized linear models for binary responses, we develop parametric methods that yield estimators for regression coefficients less compromised by an inadequate posited link function. The improved inference are obtained without c
Autor:
Xianzheng Huang, Xiang Li
Publikováno v:
Canadian Journal of Statistics. 47:262-280
ENTHIS LINK GOES TO A ENGLISH SECTIONFRTHIS LINK GOES TO A FRENCH SECTION We consider estimating the mode of a response given an error‐prone covariate. It is shown that ignoring measurement error typically leads to inconsistent inference for the co
Autor:
Xianzheng Huang, Haiming Zhou
Publikováno v:
Computational Statistics & Data Analysis. 167:107345
A new Bayesian regression framework is presented for the analysis of continuous response data with support restricted to an unknown finite interval. A four-parameter beta distribution is assumed for the response conditioning on covariates, with the m