Factors Relating to the Use of Family Therapy with Adolescent Marijuana Abusers

This study reported on the results of the use of family therapy by marijuana-abusing adolescents. The investigators used a statewide each admission for state supported services. Data on 38,281 adolescent admissions were reported on their age at first use, age of admission, severity of use, ethnic and racial attributes, gender, place of residence, employment status, insurance coverage, and presence of comorbid conditions. The results showed that adolescents most likely to use family therapy were unemployed, white, less than 13 years of age, living in urban areas, experienced in marijuana use and have been judged to have a comorbid condition. Insurance coverage or gender did not influence the likelihood for adolescents to receive family therapy. The authors make recommendations on reducing the barriers to access to family therapy that were found by this study.     

The emergence of modern emotional power: governing passions in the French Grand Siècle

Theory and Society - This article aims to analyse the governmental rationalities that took passions as an object in the French seventeenth century, unleashing the modern transformation in emotional...     

Maximal domains of preferences preserving strategy-proofness for generalized median voter schemes

We characterize the maximal sets of preferences under which generalized median voter schemes are strategy-proof. Those domains are defined by a qualified version of single-peakedness, which depends on the distribution of power among agents implied by each generalized median voter scheme. Received: 28 April 1997/Accepted: 30 January 1998     

Scale and periodicities of recorded music consumption: reconciling Bourdieu's theory of taste with facts

Recent data show that middle class consumers have an omnivorous pattern of consumption or tastes, contrary to Bourdieu's predictions of a snob pattern of consumption. To explore the implications of Bourdieu's framework for omnivorousness further, we make use of the anthropological view of consumption to analyse Spaniards' musical tastes and consumption. Results showed a variety of omnivorous patterns of musical consumption associated with upscale consumers: a higher position on the social ladder was linked to more omnivorous tastes and greater use of technologies that free the consumer from fixed periodicities in music consumption. We found that different types (economic, social and cultural) and levels of capital do configure subjects' structural constraints and hence, their tastes in musical genres and the technological media used to consume them. Consequently, the combination of all three types of capital helps to explain the omnivorous consumption (elitist but inclusive as well) of upscale consumers.     

Integer-Valued Self-Exciting Threshold Autoregressive Processes

In this article, we introduce a class of self-exciting threshold integer-valued autoregressive models driven by independent Poisson-distributed random variables. Basic probabilistic and statistical properties of this class of models are discussed. Moreover, parameter estimation is also addressed. Specifically, the methods of estimation under analysis are the least squares-type and likelihood-based ones. Their performance is compared through a simulation study.     

On the extremal behavior of a nonstationary normal random field

Let X={_Xn}n?1$\mathbf{X}=\{X_{\mathbf{n}}{\}}_{\mathbf{n}?\mathbf{1}}$ be a nonstationary random field satisfying a long range weak dependence for each coordinate at a time and a local dependence condition that avoids clustering of exceedances of high values. For these random fields, the probability of no exceedances of high values can be approximated by exp(−τ)$\exp (-\tau )$, where τ$\tau$ is the limiting mean number of exceedances. We present a class of nonstationary normal random fields for which this result can be applied.     

On identifiability of parametric statistical models

Summary This is a review article on statistical identifiability. Besides the definition of the main concepts, we deal with several questions relevant to the statistician: parallelism between parametric identifiability and sample sufficiency; relationship of identifiability with measures of sample information and with the inferential concept of estimability; several strategies of making inferences in unidentifiable models with emphasis on the distinct behaviour of the classical and Bayesian approaches. The concepts, ideas and methods discussed are illustrated with simple examples of statistical models. Centro de Análise e Processamento de Sinais da UTL     

Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis

This work investigates the use of canonical correlation analysis (CCA) in the definition of weight restrictions for data envelopment analysis (DEA). With this purpose, CCA limits are introduced into Wong and Beasley's DEA model. An application of the method is made over data from hospitals in 27 Brazilian cities, producing as outputs average payment (average admission values) and percentage of hospital admissions according to disease groups (International Classification of Diseases, 9th Edition), and having as inputs mortality rates and average stay (length of stay after admission (days)). In this application, performance scores were calculated for both the (CCA) restricted and unrestricted DEA models. It can be concluded that the use of CCA-based weight limits for DEA models increases the consistency of the estimated DEA scores (more homogenous weights) and that these limits do not present mathematical infeasibility problems while avoiding the need for subjectively restricting weight variation in DEA.