无线营销的商业模式分析

中国无线营销市场已风声水起,越来越多行业的精英加入到无线营销这个领域中,无线营销的应用与商业模式成为产业链上各环节关心的问题。本文就无线营销的商业模式进行分析,内容涵盖到无线营销的概念、应用模式、运作模式、营销策略。     

资本深化和中国经济增长

在工业化的快速推进中,我国经济出现了资本过早深化的现象.近年我国的"资本-劳动比率""资本-产出"比率变化情况表明,在20世纪90年代中后期,我国经济中出现了资本密度加速上升现象.资本的过早深化开始影响我国经济的进一步增长,经济中投资效率加剧恶化,经济增长过分依赖固定资产投资的拉动,资本更加集中于钢铁、建材、化工等资本密集型行业,经济向效率缺失的方向发展.中国特有的投资体制是形成这种局面的主要原因,因此加快改善我国的投资体制,降低资本增长率或消化提前增长的资本存量,并提高劳动增长率或就业率,是目前我国经济发展中重点需要解决的问题.     

中国当代女性主义文学思潮的流变

从性别复苏到话语自觉,从父权解构到主体建构,从女权理论到文学实践,是中国当代女性主义文学思潮生成、发展、流变的重要特征和基本内容。在这一强劲思潮的推动和鼓舞之下,当代女性文学的话语空间得到极大拓展,女性写作新的审美机制得以初步建立,女性的自我主体意识和人格价值亦得到进一步体认,实现了自五四女性主义文学思潮之后的又一轮更高层次更大规模的女权启蒙。     

An Extended Single‐index Model with Missing Response at Random

An extended single‐index model is considered when responses are missing at random. A three‐step estimation procedure is developed to define an estimator for the single‐index parameter vector by a joint estimating equation. The proposed estimator is shown to be asymptotically normal. An algorithm for computing this estimator is proposed. This algorithm only involves one‐dimensional nonparametric smoothers, thereby avoiding the data sparsity problem caused by high model dimensionality. Some simulation studies are conducted to investigate the finite sample performances of the proposed estimators.     

A multiple-case deletion approach for detecting influential points in high-dimensional regression

ABSTRACT

In high-dimensional regression, the presence of influential observations may lead to inaccurate analysis results so that it is a prime and important issue to detect these unusual points before statistical regression analysis. Most of the traditional approaches are, however, based on single-case diagnostics, and they may fail due to the presence of multiple influential observations that suffer from masking effects. In this paper, an adaptive multiple-case deletion approach is proposed for detecting multiple influential observations in the presence of masking effects in high-dimensional regression. The procedure contains two stages. Firstly, we propose a multiple-case deletion technique, and obtain an approximate clean subset of the data that is presumably free of influential observations. To enhance efficiency, in the second stage, we refine the detection rule. Monte Carlo simulation studies and a real-life data analysis investigate the effective performance of the proposed procedure.     

关系保持策略量表在中国人群中的初步试用

为了满足亲密关系的研究和婚姻家庭心理咨询的实际需要,对国外该领域中广泛采用的“关系保持策略量表”（RMSM）进行了翻译和修订,并使用一个包含246名被试的样本对该量表的信效度进行了检验。统计分析表明,修订后的中文版RMSM具有较高的信度和效度,符合心理测量学的基本要求。使用中文版RMSM,以818名已婚人士为研究对象,对中国人的关系保持策略特点进行了调查。结果表明：性别、文化程度、家庭收入、年龄、结婚年限、子女等因素都会影响中国人婚姻关系保持策略。     

A joint modelling approach for clustered recurrent events and death events

In dental implant research studies, events such as implant complications including pain or infection may be observed recurrently before failure events, i.e. the death of implants. It is natural to assume that recurrent events and failure events are correlated to each other, since they happen on the same implant (subject) and complication times have strong effects on the implant survival time. On the other hand, each patient may have more than one implant. Therefore these recurrent events or failure events are clustered since implant complication times or failure times within the same patient (cluster) are likely to be correlated. The overall implant survival times and recurrent complication times are both interesting to us. In this paper, a joint modelling approach is proposed for modelling complication events and dental implant survival times simultaneously. The proposed method uses a frailty process to model the correlation within cluster and the correlation within subjects. We use Bayesian methods to obtain estimates of the parameters. Performance of the joint models are shown via simulation studies and data analysis.     

Optimal choice of sample fraction in univariate financial tail index estimation

This study introduces a technique to estimate the Pareto distribution of the stock exchange index by using the maximum-likelihood Hill estimator. Recursive procedures based on the goodness-of-fit statistics are used to determine the optimal threshold fraction of extreme values to be included in tail estimation. These procedures are applied to three indices in the Malaysian stock market which included the consideration of a drastic economic event such as the Asian financial crisis. The empirical results evidenced alternating varying behavior of heavy-tailed distributions in the regimes for both upper and lower tails.     

Outlier detection in high-dimensional regression model

An outlier is defined as an observation that is significantly different from the others in its dataset. In high-dimensional regression analysis, datasets often contain a portion of outliers. It is important to identify and eliminate the outliers for fitting a model to a dataset. In this paper, a novel outlier detection method is proposed for high-dimensional regression problems. The leave-one-out idea is utilized to construct a novel outlier detection measure based on distance correlation, and then an outlier detection procedure is proposed. The proposed method enjoys several advantages. First, the outlier detection measure can be simply calculated, and the detection procedure works efficiently even for high-dimensional regression data. Moreover, it can deal with a general regression, which does not require specification of a linear regression model. Finally, simulation studies show that the proposed method behaves well for detecting outliers in high-dimensional regression model and performs better than some other competing methods.