唐寅与弘治己未春闱案的文学史影响

弘治己未春闱案由风闻而起,以莫须有了结,又引起了日后的流言四起。在对该案的种种记载与议论中,唐寅成了关注的焦点,博得了广泛的同情,并使这一事件染上了传奇色彩。案件的文学史意义在于激发了唐寅的"中年转变",使他开辟了人生与艺术创作的新天地;同时又在明中叶诗文革新的关节点上,因唐寅而导致了吴中诗坛复古集团的解体。     

穆勒方法的现代重构

对穆勒方法作出精确化的分析， 指出该方法的根本缺陷和应用上的局限性， 是一种进步， 但是还不能刻画客观事件或属性之间的必然联系。对因果关系的分析要从内容的辨证化入手， 要借鉴唯物辩证法的成果。对穆勒方法作新的审视和改造， 使之更切合科学发展的需要     

Dynamic Pricing to Minimize Maximum Regret

We consider a dynamic pricing problem that involves selling a given inventory of a single product over a short, two‐period selling season. There is insufficient time to replenish inventory during this season, hence sales are made entirely from inventory. The demand for the product is a stochastic, nonincreasing function of price. We assume interval uncertainty for demand, that is, knowledge of upper and lower bounds but not a probability distribution, with no correlation between the two periods. We minimize the maximum total regret over the two periods that results from the pricing decisions. We consider a dynamic model where the decision maker chooses the price for each period contingent on the remaining inventory at the beginning of the period, and a static model where the decision maker chooses the prices for both periods at the beginning of the first period. Both models can be solved by a polynomial time algorithm that solves systems of linear inequalities. Our computational study demonstrates that the prices generated by both our models are insensitive to errors in estimating the demand intervals. Our dynamic model outperforms our static model and two classical approaches that do not use demand probability distributions, when evaluated by maximum regret, average relative regret, variability, and risk measures. Further, our dynamic model generates a total expected revenue which closely approximates that of a maximum expected revenue approach which requires demand probability distributions.     

Transformations for Smooth Regression Models with Multiplicative Errors

We consider whether one should transform to estimate nonparametrically a regression curve sampled from data with a constant coefficient of variation, i.e. with multiplicative errors. Kernel-based smoothing methods are used to provide curve estimates from the data both in the original units and after transformation. Comparisons are based on the mean-squared error (MSE) or mean integrated squared error (MISE), calculated in the original units. Even when the data are generated by the simplest multiplicative error model, the asymptotically optimal MSE (or MISE) is surprisingly not always obtained by smoothing transformed data, but in many cases by directly smoothing the original data. Which method is optimal depends on both the regression curve and the distribution of the errors. Data-based procedures which could be useful in choosing between transforming and not transforming a particular data set are discussed. The results are illustrated on simulated and real data.     

企业环境会计信息披露探讨

环境会计信息披露,是环境会计最主要和最基本的问题。本文对环境会计信息披露研究现状进行了简单回顾,并借鉴环境经济学知识对企业环境会计信息的确认计量提出些建议,在这基础上初步探讨了企业环境信息披露的三种可行模式。     

Statistical consulting at German universities: Results of a survey

The article presents the results of a survey on statistical consulting at German universities, where the survey focused on obtaining information on when, where and to whom statistical consulting is provided. We investigate the financial frame of the activity and question the advantages and disadvantages from a consultant’s point of view.