Relationship Difficulties as a Conduit from Hyperactivity to Depressive Symptoms

Based on the interpersonal model of depression, disrupted social relationships can lead to depression and childhood hyperactivity can disrupt those crucial relationships. Hyperactivity and the interactions between hyperactivity and interpersonal relations/social support in predicting depression are investigated based on data collected from 100 youth aged 8–14 and their parents. Hierarchical multiple regression indicated main effects for children’s report of hyperactivity and classmate support and an interaction between hyperactivity and classmate support in predicting children’s report of depression. Using parent’s report of child hyperactivity, there was a main effect for classmate support and an interaction between hyperactivity and parent report of family cohesion in predicting depressive symptoms. Results are consistent with past research, suggesting hyperactivity may compromise family and peer relationships, leading to depressive symptoms.     

Trends and challenges of developing human capital in India

With the population touching 1.2 billion, half of which is around 25 years of age, India is set to be among one of the top countries for human capital in the next two decades. While the country has been making rapid progress economically, human capital additions may remain marginal and may not keep up with the pace of economic growth unless accompanied by planned development of manpower. The Indian corporate sector was the first to start a dedicated HR function 30 years ago and the nation was the first to have a Ministry of HRD 20 years ago. Despite the early start, the last two to three decades have provided a mixed bag of experiences and expectations. Conservative HRD policies have not helped India's skill base to develop at the same rate as economic progress. An inadequate research base and the low quality of people entering the HR profession have prevented corporate HRD from becoming more productive than it is now. A lot of attention is directed towards recruitment, retention and compensation strategies rather than to talent multiplication. At the same time, innovative leaders and chief executive officers (CEOs) who have taken up the mantle of HR have made a mark. The future of human capital formation will be bright at the national level if the government makes more intense efforts to build human capital and becomes more innovative and expansive. At the corporate level, the credibility of HR is still suspect as it has not been able to match its steps with those of India's more innovative leaders. Preparation of a new breed of HR professionals combined with education of CEOs in what good HR can do may go a long way in helping Indian HR develop a strong footing.     

Linear estimation of location and scale parameters in the generalized gamma distribution

The expressions for moments of order statistics from the generalized gamma distribution are derived. Coefficients to get the BLUEs of location and scale parameters in the generalized gamma distribution are computed. Some simple alternative linear unbiased estimates of location and scale parameters are also proposed and their relative efficiencies compared to the BLUEs are studied.     

Joint distribution of simultaneous exposures to several carcinogens in a case–control study: sample size determination

Consider a population of individuals who are free of a disease under study, and who are exposed simultaneously at random exposure levels, say X,Y,Z,… to several risk factors which are suspected to cause the disease in the populationm. At any specified levels X=x, Y=y, Z=z, …, the incidence rate of the disease in the population ot risk is given by the exposure–response relationship r(x,y,z,…) = P(disease|x,y,z,…). The present paper examines the relationship between the joint distribution of the exposure variables X,Y,Z, … in the population at risk and the joint distribution of the exposure variables U,V,W,… among cases under the linear and the exponential risk models. It is proven that under the exponential risk model, these two joint distributions belong to the same family of multivariate probability distributions, possibly with different parameters values. For example, if the exposure variables in the population at risk have jointly a multivariate normal distribution, so do the exposure variables among cases; if the former variables have jointly a multinomial distribution, so do the latter. More generally, it is demonstrated that if the joint distribution of the exposure variables in the population at risk belongs to the exponential family of multivariate probability distributions, so does the joint distribution of exposure variables among cases. If the epidemiologist can specify the differnce among the mean exposure levels in the case and control groups which are considered to be clinically or etiologically important in the study, the results of the present paper may be used to make sample size determinations for the case–control study, corresponding to specified protection levels, i.e., size α and 1–β of a statistical test. The multivariate normal, the multinomial, the negative multinomial and Fisher's multivariate logarithmic series exposure distributions are used to illustrate our results.     

Correlation between the numbers of two types of children in a family with the mpsd for the family size

The family size (sibship size) N is regarded as an integer-valued random variable having a Modified Power Series distribution (MPSD) of Gupta (1974). The family produces two types of children, with probabilities p and q (p+q =1) . It is proved that the correlation between the numbers B and C of these children is positive or negative according as the function log f(θ) is convex or concave with respect to the function g(θ), (see Section 2). This condition is a simple and a natural extension of the one given by Rao et al (1973). Several examples are discussed to illustrate the result.     

Computation of Standard Errors for Geary–Khamis Parities and international Prices: A Stochastic Approach

One of the areas receiving little attention in the past in index-number theory is providing standard errors for the index number estimates. Recently, Clements and Izan and Selvanathan used the stochastic approach to index numbers to derive standard errors for the rate of inflation and Laspeyres and Paasche index numbers. In this article, we use this approach to compute standard errors associated with purchasing power parities computed using Geary-Khamis aggregation procedure in the International Comparisons Project of the United Nations. We assess the quality of the standard errors using Efron's bootstrap technique.     

Inference for Income Distributions Using Grouped Data

We develop a general approach to estimation and inference for income distributions using grouped or aggregate data that are typically available in the form of population shares and class mean incomes, with unknown group bounds. We derive generic moment conditions and an optimal weight matrix that can be used for generalized method-of-moments (GMM) estimation of any parametric income distribution. Our derivation of the weight matrix and its inverse allows us to express the seemingly complex GMM objective function in a relatively simple form that facilitates estimation. We show that our proposed approach, which incorporates information on class means as well as population proportions, is more efficient than maximum likelihood estimation of the multinomial distribution, which uses only population proportions. In contrast to the earlier work of Chotikapanich, Griffiths, and Rao, and Chotikapanich, Griffiths, Rao, and Valencia, which did not specify a formal GMM framework, did not provide methodology for obtaining standard errors, and restricted the analysis to the beta-2 distribution, we provide standard errors for estimated parameters and relevant functions of them, such as inequality and poverty measures, and we provide methodology for all distributions. A test statistic for testing the adequacy of a distribution is proposed. Using eight countries/regions for the year 2005, we show how the methodology can be applied to estimate the parameters of the generalized beta distribution of the second kind (GB2), and its special-case distributions, the beta-2, Singh–Maddala, Dagum, generalized gamma, and lognormal distributions. We test the adequacy of each distribution and compare predicted and actual income shares, where the number of groups used for prediction can differ from the number used in estimation. Estimates and standard errors for inequality and poverty measures are provided. Supplementary materials for this article are available online.     

The estimation of missing observations in related time series data: Further results

Earlier work has provided an efficient method for the prediction of missing data in a dependent variable series using a system of grouped regression equations. This paper extends the previous literature in two ways. First, a test statistic capable of indicating the advantage of the grouped procedure is derived. Second, it is demonstrated through an empirical application that the most prevalent methodology used for examining the impact of financial economic events is a special case of the missing data estimation problem.     

On the Gini Mean Difference Test for Circular Data

We introduce a new test of isotropy or uniformity on the circle, based on the Gini mean difference of the sample arc-lengths and obtain both the exact and asymptotic distributions under the null hypothesis of circular uniformity. We also provide a table of upper percentile values of the exact distribution for small to moderate sample sizes. Illustrative examples in circular data analysis are also given. It is shown that a “generalized” Gini mean difference test has better asymptotic efficiency than a corresponding “generalized” Rao's test in the sense of Pitman asymptotic relative efficiency.     

从符号学角度讨论植入广告的本质

植入广告界定是植入广告研究的原点。现有的植入广告定义强调"隐蔽性",但却一直未把其机制讨论清楚。原因在于相关讨论大都企图在广告和植入广告对比中界定植入广告。事实上,只有从植入广告与广告的区别,植入广告和被植入文本的区别这两种对比中讨论,才能把植入广告"隐蔽又显性"的属性说清楚。植入广告是通过取消尾题而突破广告体裁,进入被植入文本,并以侧重媒介自身的表意模式,占有接收者的注意力渠道,从而达到增强品牌印象的符号行为。