Fractured weber: A critique of parsons' interpetation

The authors argue that Parsons, through commitment to his “convergence thesis” and to his structural-functionalism coupled with his biological evolutionism, misrepresents Weber. Parsons arbitrarily applies to the Weberian tradition his own criteria biased against history. His general theoretical focus inclines toward the tradition of the functionalist Durkheim and that of the evolutionist Spencer. The authors contend that the later metamorphosis of Parsons' general theory of action into a theory of social systems has resulted in an abstract conception of social reality that is incongrous with Weber's view. The source of the Parsonian bias is further traced in his psychologization of Weber. Finally, it is asserted that Parsons represents a case of a-historicism incompatible with the Weberian tradition, with the consequence that the important contributions of Weber's historical sociology for the understanding of social change in the modern world are lost.     

红外吸收峰的位置波动:归因于单一谱带的频移还是重叠谱带相对强度的变化?

红外吸收峰的位置波动可能由单一谱带的实际频移或是邻近重叠谱带相对强度的变化而产生。本文通过主成分分析法(PCA)有力地证明了光谱位置波动的根源往往归因于后一种机理。PCA能灵敏有效地区分单一谱带的实际频移与由重叠谱带相对强度变化所产生的最大峰移。对于由分子相互作用强度变化所诱导,并在振动光谱领域较为常见的所谓带移的概念,往往由于其隐含了谱带的固有频移而有些概念误导。在许多红外光谱中,峰极大值表面的位移,一般产生于两条重叠谱带相对贡献的变化,而不是分子相互作用强度变化所诱导的单一谱带的缓慢频移。这个观点可以帮助我们解释振动光谱所探测到的分子相互作用。     

A study of economic design of control charts for cumulative count of conforming items

In this paper the economic design of Cumulative Count of Conforming (CCC) control charts to maintain the current control of fraction nonconforming of a process is studied. CCC chart is an attribute chart for monitoring high quality processes by plotting the cumulative count of conforming items between two nonconforming ones on a suitable chart. A process model is proposed to obtain an appropriate loss function. An alogorithm to search for the optimal setting of the sampling and control parameters is derived. Numerical illustrations of the method and some properties of the optimal economic design are provided.     

Determinants of the demand for health screening in Malaysia: The case of the aged population

The increase in the prevalence of heart disease has become a serious public health issue. Hypercholesterolemia and hypertension are two main modifiable health risk factors for heart disease. In a fast ageing society, proper preventive measures should be adopted, particularly to achieve healthy aging. The objective of the present study is to examine the factors affecting the use of two health tests, namely blood cholesterol and blood pressure screenings among adults aged 60 years and above in Malaysia. Nationally representative data collected through the National Health and Morbidity Survey 2011 (NHMS, 2011) by the Ministry of Health, Malaysia were analysed. The survey used a two-stage stratified sampling method. Enumeration Blocks were selected in the first stage, while the second stage involved selection of Living Quarters. The proportions of those not using the blood cholesterol (45.4%) and blood pressure (30.8%) tests are alarmingly high. A bivariate probit model is applied to examine the determinants of the use of these two health screening tests. The results show that education, ethnicity, location of residence, employment status, health insurance and smoking significantly affect the decision of the aged population to undergo these tests. Key findings are, first, time is a more dominant factor than income in determining health screening behaviour among the aged population. Second, being covered by insurance increases the propensity to undergo health screening. Third, smokers have a lower likelihood of screening than non-smokers. The findings suggest that intervention programmes should be targeted at the less-educated, employed individuals, individuals not covered by health insurance and smokers.     

Some rememarks on locally most powerful unbiased tests for the detection of mixtures of poisson or binomial distributions

In t h i s note mixture models are used to represent overdispersion relative to Poisson or binomial distributions. We flnd a sufflclent condition on the mixing distribution underich the detection of mixture departures from the Poisson or binomial adrnits a locally most powerful unbiased test. The conditions specify plynoria: relations between the variance and mean of Le glxing distribution.     

Complete convergence for weighted sums of negatively dependent random variables

In this paper, we obtain a complete convergence result for weighted sums of negatively dependent random variables under mild conditions of weights. This result generalizes and improves the result of Zarei and Jabbari (Stat Papers doi:, 2009). Our result also extends the result of Taylor et al. (Stoch Anal Appl 20:643–656, 2002) on unweighted average to a weighted average.     

Hierarchical Bayesian Approach to a Multi-Site Hidden Markov Model

Multivariate data with a sequential or temporal structure occur in various fields of study. The hidden Markov model (HMM) provides an attractive framework for modeling long-term persistence in areas of pattern recognition through the extension of independent and identically distributed mixture models. Unlike in typical mixture models, the heterogeneity of data is represented by hidden Markov states. This article extends the HMM to a multi-site or multivariate case by taking a hierarchical Bayesian approach. This extension has many advantages over a single-site HMM. For example, it can provide more information for identifying the structure of the HMM than a single-site analysis. We evaluate the proposed approach by exploiting a spatial correlation that depends on the distance between sites.