学术共同体的哲学研究传统———马克思主义哲学研究的范式概念前提探讨简

哲学范式源于科学范式。从其性质上而言,作为哲学学派重要标志的范式应当是一种思想性的哲学范式。正像“科学范式”是由多种科学要素所构成的科学共同体的“特定研究传统”一样,哲学范式的概念本质实际上就是学术共同体的哲学研究传统。哲学范式的基本构成是蕴含哲学观前提、价值观根据、主要问题视域和系统方法论模式等要素的多元复合的有机系统。哲学范式本身在概念规定上还具有总体性和综合性、基本性和内在性、典范性和标准性、普遍性和共有性、历史性和具体性、层次性和相对性等多重性的特质与功能。     

基于多因素小波回归分析的国际原油价格分析与预测

基于国际石油市场的复杂性,本文不仅考虑油价时间序列自身的发展规律,而且在模型中加入油价的主要影响因素,采用小波分析与多元回归相结合的方法建立原油价格预测模型。并且对WTI（西德克萨斯轻质）原油月度价格进行了实证分析,验证了该方法的可行性和有效性。     

多元智能理论与英语影视教学整合初探

本文探讨了霍华德.加德纳的多元智力理论与英语影视教学整合的可能性和必要性,以及两者在整合实践中需遵循的原则和实际操作方式,目的在于改进英语影视教学形式,系统全面地开发学生的多种智能,促进教学质量与学生综合素质的提高.     

An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming

In this paper, we present an aggregate production planning (APP) model applied to a Portuguese firm that produces construction materials. A multiple criteria mixed integer linear programming (MCMILP) model is developed with the following performance criteria: (1) maximize profit, (2) minimize late orders, and (3) minimize work force level changes. It includes certain operational features such as partial inflexibility of the work force, legal restrictions on workload, work force size (workers to be hired and downsized), workers in training, and production and inventory capacity. The purpose is to determine the number of workers for each worker type, the number of overtime hours, the inventory level for each product category, and the level of subcontracting in order to meet the forecasted demand for a planning period of 12 months. Additionally, a decision support system (DSS) based on the MCMILP model is proposed. It will help practitioners find the “best” solution for an APP problem without having to familiarize themselves with the mathematical complexities associated with the model. An example to illustrate the use of the DSS is also included.     

Different methods for handling incomplete longitudinal binary outcome due to missing at random dropout

This paper compares the performance of weighted generalized estimating equations (WGEEs), multiple imputation based on generalized estimating equations (MI-GEEs) and generalized linear mixed models (GLMMs) for analyzing incomplete longitudinal binary data when the underlying study is subject to dropout. The paper aims to explore the performance of the above methods in terms of handling dropouts that are missing at random (MAR). The methods are compared on simulated data. The longitudinal binary data are generated from a logistic regression model, under different sample sizes. The incomplete data are created for three different dropout rates. The methods are evaluated in terms of bias, precision and mean square error in case where data are subject to MAR dropout. In conclusion, across the simulations performed, the MI-GEE method performed better in both small and large sample sizes. Evidently, this should not be seen as formal and definitive proof, but adds to the body of knowledge about the methods’ relative performance. In addition, the methods are compared using data from a randomized clinical trial.     

Some Multiple Decision Procedures for Comparing Several Population Proportions

In this article, comparison of several population proportions using multiple decision approach is studied. The probability of the order of the sample proportions matching with the order of the population proportions is being controlled. A related multiple comparison procedure with a control is also discussed. For ranking the proportions in multinomial distribution, the simultaneous confidence interval is constructed and used for the ranking. Some examples are used to illustrate the multiple decision procedures discussed in this paper.     

Multi-output profit efficiency and directional distance functions

We extend a recently developed DEA methodology for cost efficiency analysis towards profit efficiency settings. This establishes a novel DEA toolkit for profit efficiency assessments in situations with multiple inputs and multiple outputs. A distinguishing feature of our methodology is that it assumes output-specific production technologies. In addition, the methodology accounts for the use of joint inputs, and explicitly includes information on the allocation of inputs to individual outputs. We also establish a dual relationship between our multi-output profit inefficiency measure and a technical inefficiency measure that takes the form of a multi-output directional distance function. Finally, we demonstrate the empirical usefulness of our methodology by an empirical application to a large service company.     

Inferences on missing information under multiple imputation and two-stage multiple imputation

In the presence of missing values, researchers may be interested in the rates of missing information. The rates of missing information are (a) important for assessing how the missing information contributes to inferential uncertainty about, Q, the population quantity of interest, (b) are an important component in the decision of the number of imputations, and (c) can be used to test model uncertainty and model fitting. In this article I will derive the asymptotic distribution of the rates of missing information in two scenarios: the conventional multiple imputation (MI), and the two-stage MI. Numerically I will show that the proposed asymptotic distribution agrees with the simulated one. I will also suggest the number of imputations needed to obtain reliable missing information rate estimates for each method, based on the asymptotic distribution.     

Estimation from incomplete data in longitudinal surveys

In longitudinal surveys where a number of observations have to be made on the same sampling unit at specified time intervals, it is not uncommon that observations for some of the time stages for some of the sampled units are found missing. In the present investigation an estimation procedure for estimating the population total based on such incomplete data from multiple observations is suggested which makes use of all the available information and is seen to be more efficient than the one based on only completely observed units. Estimators are also proposed for two other situations; firstly when data is collected only for a sample of time stages and secondly when data is observed for only one time stage per sampled unit.     

记者综合素质与纪实类电视栏目特色

电视栏目是记者、编辑、主持人联合制作的产品 ,记者、编辑、主持人综合素质的高低直接影响电视栏目的好坏。当今 ,电视观众对电视栏目有新的要求 ,这就要求记者、编辑、主持人要努力提高综合素质 ,生产出更高品质的电视栏目产品来满足电视观众的需求