基于购买行为RFM及评论行为RFMP模型的客户终身价值研究

在Web2.0时代,越来越多的消费者在购物网站、点评类网站以及社交类网站上发表自己对产品或服务的相关看法,由此对企业产生了巨大的影响。针对用户在线评论行为所产生的价值,以传统的RFM模型为基础构建了基于评论行为的RFMP模型。同时将购买RFM和评论RFMP模型进行结合,提出了适用于线上企业的客户终身价值评价方法,采用熵值法进行了指标权重的确定,并最终选取大众点评网的实际用户数据进行了传统客户终身价值与改进客户终身价值的对比。通过对用户群进行细分,为企业提供了更加精准的营销决策及管理建议。     

注重对青年学生人格素质的培养

作为社会生活中的人来说,他的人格的核心和灵魂是他的德性。人格素质的培养是教育现代化的核心。在对青年学生人格素质的培养过程中,应采用多种方法和途径。     

高等学校投资效益的评价体系探讨

分析高等学校的投入产出关系,建立了一套高等学校投资效益评价指标体系和权重体系,通过模糊数学中隶属度的概念,采用层次分析法针对评价体系进行单因素模糊评价和多级模糊综合评判,并采集了某所高校不同年度的数据,通过软件对评价体系进行了计算和验证,得出各年度投资效益的产出率。     

运用案例教学法培养优秀公关人才

新时期要求高等教育培养出来的学生既要掌握扎实的理论知识,又要有实践操作技能。公共关系案例教学是集理论教学与能力培养于一体的科学有效的教学方法,在理论学习的基础上,通过对案例的讨论、分析,激发学生对“公共关系”这门课的学习兴趣,从而提高学生发现问题、分析问题的能力,沟通、协调能力和创新、决策能力。为将来从事营销公关工作做好充分准备。     

日常语义分析方法及其意义--评黄展骥语义分析方法

黄展骥先生历来注重谬误研究,倡导“批判思维”、“独立思考”。他的学术研究方法主要是西方日常语言学派的语义分析方法。倡导和运用这种方法,有利于改善我们学术界的学术风气和批判精神。因为没有批判便没有真正的思想。     

论案例教学在思想政治教育课教学中的运用

案例教学的主要特征是:讨论对话而非灌输独白,集体合作而非个体单干,批判反思而非结论教条。思想政治教育课运用案例教学,有利于学生贴近现实生活,提高分析、解决社会思想政治实际问题的能力,学习参与社会政治事务,培养思想政治创新精神和创新能力。案例教学应遵循准备、阅读分析案例、课堂讨论、课堂评价程序,编制高质量案例,优化教师案例教学的知识结构,更新并培育师生的共同学习习惯。     

为无名氏正名

无名氏并不是传统文学评论家所认为的“性爱作家”、“反动文人”,而是一位为人类而艺术的作家,虽然他在多难的20世纪40年代仍醉心于描写浪漫奇艳的爱情故事,但是,无名氏在作品中还对人类命运和文化的“圆全”进行探究。浪漫、神秘、传奇的风格,使无名氏作品艺术的纯美与深邃的哲学探寻得到了和谐的契合,并给中国读者们带来新鲜、独特的阅读感受。浪漫主义、现实主义和现代主义的大融合,是无名氏作品写作手法的特点,也为中国当代文学的发展起到了先验性的作用。     

Estimating monotone convex functions via sequential shape modification

We propose a sequential method to estimate monotone convex functions that consists of: (i) monotone regression via solving a constrained least square (LS) problem and (ii) convexification of the monotone regression estimate via solving a uniform approximation problem with associated constraints. We show that this method is faster than the constrained LS method. The ratio of computation time increases as data size increases. Moreover, we show that, under an appropriate smoothness condition, the uniform convergence rate achieved by the proposed method is nearly comparable to the best achievable rate for a non-parametric estimate which ignores the shape constraint. Simulation studies show that our method is comparable to the constrained LS method in estimation error. We illustrate our method by analysing ground water level data of wells in Korea.     

A method for estimating parameters and quantiles of the three-parameter inverse Gaussian distribution based on statistics invariant to unknown location

The inverse Gaussian (IG) distribution, also known as the Wald distribution, is a long-tailed positively skewed distribution and a well-known lifetime distribution. In this paper, we propose an efficient method of estimation for the parameters and quantiles of the three-parameter IG distribution, which is based on statistics invariant to unknown location. Through a Monte Carlo simulation study, we then show that the proposed method performs well compared with other prominent methods in terms of bias and variance. Finally, we present two illustrative examples.     

Higher order inference for stress–strength reliability with independent Burr-type X distributions

In this paper, a small-sample asymptotic method is proposed for higher order inference in the stress–strength reliability model, R=P(Y<X), where X and Y are distributed independently as Burr-type X distributions. In a departure from the current literature, we allow the scale parameters of the two distributions to differ, and the likelihood-based third-order inference procedure is applied to obtain inference for R. The difficulty of the implementation of the method is in obtaining the the constrained maximum likelihood estimates (MLE). A penalized likelihood method is proposed to handle the numerical complications of maximizing the constrained likelihood model. The proposed procedures are illustrated using a sample of carbon fibre strength data. Our results from simulation studies comparing the coverage probabilities of the proposed small-sample asymptotic method with some existing large-sample asymptotic methods show that the proposed method is very accurate even when the sample sizes are small.