Formulating waste management strategies based on waste management practices of households in Santiago de Cuba, Cuba

Rapid urbanisation, population growth and changes in lifestyles in low- and middle-income countries contribute to increasing the per capita domestic waste generation. This trend leads to deplorable environmental and public health conditions, especially in rapidly expanding cities of low- and middle-income countries lacking appropriate waste management systems, Santiago de Cuba is no exception. To improve solid waste management in the city of Santiago de Cuba, the generation of household waste was studied and individual waste treatment approaches were assessed. The principle of a household level analysis was adopted to enable the development of strategies based on the specific conditions of households, their awareness and needs.In February 2004, a survey covering 1180 households was conducted on issues such as monthly consumed goods, waste generated and its treatment. The waste generated by the households was subsequently assessed by means of a measuring campaign. The measured volume not only comprised the collected waste fraction but also the waste materials treated on-site or recovered and recycled by all the different means available.The paper contains the results of the composition and distribution of the waste generated by the households as a function of socio-demographic data. Furthermore, the paper describes the various household treatment strategies dependent on specific waste material types. Several types of household waste can be differentiated by statistical cluster analysis. These household types are characterised not only by the amount of waste generated but also by socio-economic status and waste treatment practices. The results obtained are used to develop a range of waste management strategies, each relating to a household type and characterised by its generated amount, waste material type and spatial urban distribution. Since the strategies are adapted to the requirements and needs of the households, they are more readily accepted by the population concerned. Such socially anchored strategies will contribute to improving the waste situation in the city of Santiago de Cuba and allow an optimised allocation of local resources.     

Strategies for Multicultural Student Success: What About Grad School?

A workshop was presented to undergraduates as a collection of ethnic minority voices, which provided students an opportunity to participate in an ethnic minority focused event that encouraged mentoring relationships and created opportunities for the sharing of advice between ethnic minority undergraduate and graduate students. The workshop's goals and agenda and implications for counselors are described. The feedback from students was overwhelmingly positive. The authors believe that colleges and universities, and the ethnic minority students who attend them, would benefit greatly from the formal and structured implementation of a workshop series dedicated to encouraging graduate school as a postbaccalaureate option.     

Robust Bayesian bonus-malus premiums under the conditional specification model

The conditional specification technique introduced by Arnold et al. (Conditional specification of statistical models. Springer series in statistics. Springer, New York, 1999) was used in Sarabia et al. (Astin Bull 34(1):85–98, 2004) to obtain bonus-malus premiums. The Poisson distribution for which the parameter is a function of the classical structure parameter was used and a new class of prior distributions appeared in a natural way. This model contains, as a particular case, the classical compound Poisson model. In the present paper, the Bayesian robustness of this new model is examined and found to be much more robust than in the classical model in Gómez et al. (Insur Math Econ 31:105–113, 2002). For the present study, the moment conditions on the prior distribution are required. Examples, with real data, are given to illustrate our ideas under the net and exponential premium principles.     

Small-sample comparisons for powerdivergence goodness-of-fit statistics for symmetric and skewed simple null hypotheses

Power-divergence goodness-of-fit statistics have asymptotically a chi-squared distribution. Asymptotic results may not apply in small-sample situations, and the exact significance of a goodness-of-fit statistic may potentially be over- or under-stated by the asymptotic distribution. Several correction terms have been proposed to improve the accuracy of the asymptotic distribution, but their performance has only been studied for the equiprobable case. We extend that research to skewed hypotheses. Results are presented for one-way multinomials involving k = 2 to 6 cells with sample sizes N = 20, 40, 60, 80 and 100 and nominal test sizes f = 0.1, 0.05, 0.01 and 0.001. Six power-divergence goodness-of-fit statistics were investigated, and five correction terms were included in the study. Our results show that skewness itself does not affect the accuracy of the asymptotic approximation, which depends only on the magnitude of the smallest expected frequency (whether this comes from a small sample with the equiprobable hypothesis or a large sample with a skewed hypothesis). Throughout the conditions of the study, the accuracy of the asymptotic distribution seems to be optimal for Pearson's X² statistic (the power-divergence statistic of index u = 1) when k > 3 and the smallest expected frequency is as low as between 0.1 and 1.5 (depending on the particular k, N and nominal test size), but a computationally inexpensive improvement can be obtained in these cases by using a moment-corrected h² distribution. If the smallest expected frequency is even smaller, a normal correction yields accurate tests through the log-likelihood-ratio statistic G² (the power-divergence statistic of index u = 0).     

Bayesian inference for the mean and standard deviation of a normal population when only the sample size,mean and range are observed

Consider a random sample X₁, X₂,…, X_n, from a normal population with unknown mean and standard deviation. Only the sample size, mean and range are recorded and it is necessary to estimate the unknown population mean and standard deviation. In this paper the estimation of the mean and standard deviation is made from a Bayesian perspective by using a Markov Chain Monte Carlo (MCMC) algorithm to simulate samples from the intractable joint posterior distribution of the mean and standard deviation. The proposed methodology is applied to simulated and real data. The real data refers to the sugar content (^oBRIX level) of orange juice produced in different countries.     

Decentralization of decision making: the case of payment policies for children's daycare

To bring about equality, the Nordic welfare states have provided a broad range of services with as homogenous eligibility criteria as possible. This homogeneity of social benefits has been obtained by centralized decision making and a high degree of statutory regulation. Recent trends in all welfare states veer towards greater local independence and decentralization. This article examines how the decentralization of decision making in Finland has affected the realization of basic welfare state principles. The specific aspect from which the topic is examined are user fee policies for children's daycare. The analysis gives a rather inconsistent picture of possible explanations for the differences between daycare payment policies. Municipal decision making is influenced by economic rather than political or structural factors. However, logical economic explanations are found only in large municipalities. This study highlights that decentralization of decision making has put families in very different economic positions in different municipalities - municipal traps are emerging. The relationship between welfare services and income redistribution has become ever more complicated as decision-making powers have been localized. A family may, for example, be paying the highest daycare fees but at the same time be entitled to social assistance.     

On the L1‐consistency of wavelet density estimates

The authors analyze the L₁ performance of wavelet density estimators. They prove that under mild conditions on the family of wavelets, such estimates are universally consistent in the L₁ sense.