再谈四川盆地小麦品种产量性状的育种目标

用近10年的小麦区试资料,从粒重的角度将四川麦区小麦品种分为“大粒型”（千粒重50g左右）、“中间型”（千粒重45g左右,穗粒数40粒左右）和“粒数型”（千粒重40g左右,稳粒数50粒以上）三类,通过相关及因子分析表明：我省推广小麦品种大多属“中间型”,该类品种丰产性、稳产性及商品性都较优良;“粒数型”品种的丰产性和稳产性在三类品种中最好但粒重较小,商品性欠佳;而“大粒型”品种对环境适应性较差,不利高产稳产。四川小麦育种宜采用“中间型”或“粒数型”路线,特别是产量水平要有所突破,更须走“粒数型”的路子。     

流动注射─—化学发光法同时测定痕量Cr(Ⅵ)/Cr(Ⅲ)

提出一个反相流动注射-化学发光法同时测定Cr（Ⅵ）Gr(Ⅲ）的方法,基于皮素－H2O2－Cr（Ⅵ）－KOH化学发光反应直接测定Cr（Ⅵ）;Cr（Ⅲ）在PbO2柱氧化后测定．方法简单,快速,检测限为1．0×10－9Cr（Ⅵ）,线性范围为1．0×10－8~1．0×10－6g/mlCr（Ⅵ）,用于淮河水样分析,结果满意．     

A Population Approach to Analysis of Variance Models

Several authors have contributed to what can now be considered a rather complete theory for analysis of variance in cases with orthogonal factors. By using this theory on an assumed basic reference population, the orthogonality concept gives a natural definition of independence between factors in the population. By looking upon the treated units in designed experiments as a formal sample from a future population about which we want to make inference, a natural parametrization of expectations and variances connected to such experiments arises. This approach seems to throw light upon several controversial questions in the theory of mixed models. Also, it gives a framework for discussing the choice of conditioning in models     

A Multivariate Model for Repeated Failure Time Measurements

A parametric multivariate failure time distribution is derived from a frailty-type model with a particular frailty distribution. It covers as special cases certain distributions which have been used for multivariate survival data in recent years. Some properties of the distribution are derived: its marginal and conditional distributions lie within the parametric family, and association between the component variates can be positive or, to a limited extent, negative. The simple closed form of the survivor function is useful for right-censored data, as occur commonly in survival analysis, and for calculating uniform residuals. Also featured is the distribution of ratios of paired failure times. The model is applied to data from the literature     

Retirement patterns in Hong Kong: a censored regression analysis

This paper provides an overview of retirement patterns in Hong Kong on the basis of limited data. A censored regression model is used to infer the retirement age from people‘s current retirement status and their current age. This model is equivalent to a restricted probit model, and the interpretation of parameters is straightforward. The results clearly show a negative income effect on the retirement decision. The retirement age seems to be positively related to lifetime earnings but negatively related to the rate of decline of earnings with age. JEL classification: C24, J14, J26 Received May 6, 1996 / Accepted February 5, 1997     

Sensitivity of the Optimum to Perturbations of the Profit or Weight of an Item in the Binary Knapsack Problem

In the binary single constraint Knapsack Problem, denoted KP, we are given a knapsack of fixed capacity c and a set of n items. Each item j, j = 1,...,n, has an associated size or weight w_j and a profit p_j. The goal is to determine whether or not item j, j = 1,...,n, should be included in the knapsack. The objective is to maximize the total profit without exceeding the capacity c of the knapsack. In this paper, we study the sensitivity of the optimum of the KP to perturbations of either the profit or the weight of an item. We give approximate and exact interval limits for both cases (profit and weight) and propose several polynomial time algorithms able to reach these interval limits. The performance of the proposed algorithms are evaluated on a large number of problem instances.     

Quantitative Estimates of Risk for Noncancer Endpoints

While quantitative estimates of risk have been a standard practice in cancer risk assessment for many years, no similar practice is evident in noncancer risk assessment. We use two recent examples involving methylmercury and arsenic to illustrate the negative impact of this discrepancy on risk communication and cost-benefit analysis. We argue for a more balanced treatment of cancer and noncancer risks and suggest an approach for reaching this goal.     

Priority Setting for the Distribution of Localized Hazard Protection

We address the problem of distributing safety-enhancing devices across a region, where each identical device provides for only local protection of the population. The devices protect nonidentical sectors of the population. The sectors of population are exposed to nonidentical intensities of hazard. A method for the screening and prioritizing of needs for the protective devices is described. An approach of risk-benefit-cost analysis under uncertainty is recommended as follows. Measures of hazard intensity and population exposure are identified. Exogenous parameters that influence assessments of risks, benefits, and costs are identified. Uncertainties of the exogenous parameters are propagated by interval analysis. Several tiers of the plausibility of need for protection are identified. The tiers are useful in setting priorities for the distribution of the safety devices. The method is demonstrated in an engineering application to roadway lighting, but has implications for disaster preparedness, anti-terrorism, transportation safety, and other arenas of public safety.     

制造业设备维护与管理的相对有效性评估

在设备维护与管理的评估中引入数据包络分析,以此为核心构建了设备维护与管理相对有效性的评估方法。该方法在系统功能建模的基础上,全面分析了设备维护与管理作为服务系统的投入与产出构成,以数据包络分析为计算模型完成了设备维护与管理有效性的评估。该方法满足了设备维护与管理评估全面性和客观性的要求,其有效性和可信度通过在某石化企业的应用得到了验证。