基于物联网技术平台的O2O商业模式研究

在国家大力推进产业结构调整、信息化的压力下,物联网技术和O2O商业模式作为信息时代的新型生产力,在国内的普及率并不高。本文运用案例分析的方法通过研究大学生创业项目引入O2O商业模式的概念,并与物联网技术有机结合,把握两者之间优势互补的关系,提出两者创新应用,同时从商业模式构成要素的角度对该模式进行系统、深入分析,为中国现代农业信息化建设和结构调整提供了新思路。     

AKL9401TDP低平板半挂车道路通过性分析

以AKL9401TDP低平板半挂车为研究对象,建立道路通过性的计算模型,并基于解析方法分析最小转弯直径和转弯通道宽度两个参数。研究结果表明,整车道路通过性能满足使用要求。     

滇南荒田铅锌矿床地质特征及找矿标志

荒田铅矿矿床位于华南褶皱系、扬子准地台和唐古拉-昌都-兰坪-思茅褶皱系三大Ⅰ级构造单元衔接过渡部位,属红河断裂北侧的回新-虾洞-荒田-大冷山铅锌银多金属成矿带南东部。矿区主要出露下二叠统茅口组(P1m)、玄武岩组(P1β)、上三叠统火把冲组(T3h),为一套海相碳酸盐岩-基性火山喷发-沉积岩组合。铅锌矿体赋存于玄武质、灰质角砾岩中并受角砾岩性和厚度控制,富厚部位常在褶皱(背斜)的两翼和向斜的槽部。玄武质、灰质角砾岩层和次级褶皱的两翼、槽部是重要的找矿标志。矿床成因属"火山沉积-岩浆期后热液+后期构造改造富集"。     

城乡居民消费行为及结构演化的差异研究

转变经济发展方式、实现经济内生增长是中国经济进入“新常态”阶段最迫切需要解决的问题,而实现这一目标,最为重要的则是居民消费水平的有效提升,尤其是农村居民消费困境的破解。基于此,本文采用非线性最小二乘法(NLS)对中国城乡居民消费行为及其演化规律进行了跨时期分析,结果发现城乡居民收入与消费之间表现为明显的非线性关系,并没有完全遵循边际消费倾向递减规律。“七五”时期和“八五”时期,城乡居民边际消费随收入的增加而递增;“九五”时期及以后,城镇居民边际消费随着收入的增加而递减,农村居民边际消费则仍随收入的增加而递增。从收入结构视角看,农民边际消费仅随工资性收入和家庭经营性收入的增加而递增,而城镇居民边际消费随工资性收入、家庭经营性收入和转移性收入的增加而递减。由于农民收入增长质量较低,而且收入结构不合理,从而直接导致农民消费水平低下且结构不合理,因此,提升农民消费水平,迫切需要优化农民收入结构和消费结构。     

肥胖的经济学研究：文献综述

本文从肥胖问题导致的后果、产生的原因及针对的干预三个方面综述了肥胖的相关经济学研究。最近30年肥胖流行症在全球范围内的迅速蔓延已使得如何控制它成为全球最重要的公共健康议题之一。由于肥胖是由社会经济、个体行为、遗传因素及其交互作用所共同决定,单纯的医学研究倍受局限。随着肥胖问题日趋严重,越来越多的学者开始从经济学视角展开探索,这也使人们对肥胖问题有了崭新认识,该领域的研究也已经成为西方应用经济学科研究的重要方向。     

Fits,misfits and interactions: learning at work,job satisfaction and job‐related well‐being

The resource‐based view (RBV) of the firm has focused attention on the importance of aligning employees' needs with the requirements of the jobs they do. This article focuses on how these needs and requirements interact in terms of learning. It does so in two ways. First, it develops new survey instruments to capture the learning demands of jobs and the learning dispositions of workers and uses them for the first time in a survey of 2,810 employees. Second, it examines how these person and job characteristics correlate with specific aspects of job satisfaction and job‐related well‐being. The results show that although learning alignment is associated with high levels of satisfaction and well‐being, not all learning misalignments are associated with the reverse.     

Extreme Value Theory and Statistics of Univariate Extremes: A Review

Statistical issues arising in modelling univariate extremes of a random sample have been successfully used in the most diverse fields, such as biometrics, finance, insurance and risk theory. Statistics of univariate extremes (SUE), the subject to be dealt with in this review paper, has recently faced a huge development, partially because rare events can have catastrophic consequences for human activities, through their impact on the natural and constructed environments. In the last decades, there has been a shift from the area of parametric SUE, based on probabilistic asymptotic results in extreme value theory, towards semi‐parametric approaches. After a brief reference to Gumbel's block methodology and more recent improvements in the parametric framework, we present an overview of the developments on the estimation of parameters of extreme events and on the testing of extreme value conditions under a semi‐parametric framework. We further discuss a few challenging topics in the area of SUE. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

ALTERNATIVE WEIGHTING APPROACHES TO COMPUTING INDEXES OF ECONOMIC ACTIVITY

This paper compares the weighting schemes in the traditional, principal component and dynamic factor approaches to summarizing information from a number of component variables. To facilitate the comparison, we propose a framework to discuss the approaches with respect to their implied loadings in a latent variable model. We also propose a way to transform the dynamic factor index into an analogous index which is a weighted average of the components. The framework shows the strengths and weakness of the alternative weighting schemes and the sense in which the dynamic factor approach has the advantage of capturing both the significance and the variability of the components.     

浅谈测量员如何更好更快地提高业务水平

测量作为服务于国民经济建设的重要行业,随着传统测绘技术向数字化测绘技术转化,它表现出复杂性及多样性,当我们面对一项新的测量任务时,除了传统学习模式之外,我们该如何更好地提高自身地业务水平呢？本文结合作者工作经验论述了上述问题,为测量同行提供一些建议及指导。