试析非自动衡器的允差跳跃分段法

近年来,有关衡器的国际建议越来越为人们所重视和关心。国际建议的不断修改、充实、完善,使其更富有生命力,将逐渐变成世界各国统一认识的基础和依据。本文将就非自动衡器的允差跳跃分段法问题,大胆地提出一些看法和意见,旨在“抛砖引玉”,以求得我国衡器事业进一步蓬勃发展。

千阳岭隧道改扩建工程施工技术

目前为止,国内外进行的黄土隧道改扩建工程较少,总体施工技术还不太成熟,本文结合陕西省212省道千阳岭隧道改扩建工程的设计、施工情况,从临时支撑、拆除原衬砌、扩挖及出渣、初期支护、仰拱、防排水、二次衬砌等七个方面详细介绍了千阳岭隧道改扩建工程的施工技术,为类似黄土隧道改扩建工程提供一定的参考。

Bayesian Segmentation of Piecewise Linear Regression Models Using Reversible Jump MCMC Algorithm

Piecewise linear regression models are very flexible models for modeling the data. If the piecewise linear regression models are matched against the data, then the parameters are generally not known. This paper studies the problem of parameter estimation ofpiecewise linear regression models. The method used to estimate the parameters ofpicewise linear regression models is Bayesian method. But the Bayes estimator can not be found analytically. To overcome these problems, the reversible jump MCMC （Marcov Chain Monte Carlo） algorithm is proposed. Reversible jump MCMC algorithm generates the Markov chain converges to the limit distribution of the posterior distribution of the parameters ofpicewise linear regression models. The resulting Markov chain is used to calculate the Bayes estimator for the parameters of picewise linear regression models.