An application of negative binomial distribution of order k in sensitive surveys

This article is an attempt to generalize some of the recent papers on randomized response techniques by using the negative binomial distribution of order k to randomize the responses in the randomization design where respondents can report outcome of one of two binary devices depending upon their actual status. The relative efficiency results are observed to be better than those of many recent and relevant randomized response techniques. The results are also better than those of the base line model used in this study, providing the sensitive attribute is rare. An extra advantage of the proposed technique is that it does not require any additional sampling and administrative cost.     

Creating intentional spaces for sustainable development in the Indian trans-Himalaya: reconceptualizing globalization from below

In an era of globalization, multifaceted and complex changes have increasingly interconnected geographically dispersed places. A central question of globalization studies concerns whether top-down forces of globalization are forging a global culture or whether processes of globalization from below are able to push back against homogenization by appropriating global forces rather than simply being overwhelmed by them. In this paper, I develop the concept of intentional spaces to show how ideas move globally and how local communities appropriate these ideas, revealing the actual practices that happen in the middle of top-down and bottom-up processes of globalization. I identify three types of ‘intentional spaces’ – physical, pedagogical, and ideological – to document the middle: where top down global forces meet local responses, and how these processes unfold. These intentional spaces enable processes of globalization from below, particularly the development of a mode of critical education that is both political and anti-hegemonic. This critical education empowers local people to adapt global/Western perspectives and influences to indigenous perspectives and practices, creating its own discourses of globalization. I use the context of the trans-Himalayan region of Ladakh to consider how national and international forces intersect with the local, and how local communities re-envision their participation in a modern, global economy.     

When the victim becomes vicious: Combined effects of pseudo transformational leadership and epistemic motivation on contempt and deviant behaviors

Utilizing affective events theory (Weiss & Cropanzano, 1996), the current study unravels how and when pseudo-transformational leaders promote contempt, avoidance, and aggression. Specifically, we examined whether pseudo-transformational leadership enforces feelings of contempt, which, in turn, fosters interaction avoidance and covert aggression in followers. We hypothesized that contempt also has an indirect effect that is contingent on levels of epistemic motivation of followers. By adopting a multi-wave research design, we gathered data from 277 employees of the service sector of Pakistan. The results signified that followers of pseudo-transformational leaders feel contemptuous of them and respond with interaction avoidance and indirect aggression. Further, we found that the impact of pseudo-transformational leadership on contempt was more pronounced in individuals with higher levels of epistemic motivation. We believe that this study opens up a new avenue in the pseudo-transformational leadership literature by highlighting the mechanism and conditions under which such leaders are deleterious for organizations.     

When to Mass Customize: The Impact of Environmental Uncertainty*

Previous research on mass customization (MC) has focused on what it is and how it is implemented. In this study we examine when MC is an appropriate strategy for firms to follow by scrutinizing the effects of three environmental uncertainty variables (demand uncertainty, competitive intensity, and supply chain complexity) on the MC–performance relationship. Specifically, we distinguish the direct effect of environmental uncertainty on MC ability and the moderation effect of environmental uncertainty on MC ability's impact on customer satisfaction. We examine six competing hypotheses using data collected from 266 manufacturing plants. Our results show that competitive intensity has a direct positive impact on MC ability. However, demand uncertainty moderates the relationship between MC ability and customer satisfaction, and the direct and positive relationship between MC ability and customer satisfaction holds only when customer demand is highly uncertain. Supply chain complexity neither has a direct relationship with MC, nor moderates the MC–performance relationship. Implications of these research findings are discussed and future research directions are identified.     

Sequential analysis applied to testing the mean of an inverse gaussian distribution with known coefficient of variation

Given an inverse Gaussian distribution I(.μ,a²μ) with known coefficient of variation a, the hypothesis H_O: .μ <ce:glyph name="dbnd6"/> μ_o is tested against H₁: μ <ce:glyph name="dbnd6"/> μ₁ using the sequential probability ratio test. The maximum of the expected sample number is shown to occur when μ is approximately equal to the geometric mean of μ_oand μ₁ and it is shown that this maximum value depends on .μ_o and μ₁ only through their ratio. It is observed that the test can be used to discriminate between two one-sided hypotheses.     

Bayes Estimation of Shift Point in Geometric Sequence

A sequence of independent lifetimes X ₁, X ₂,…, X _m , X _m+1,… X _n were observed from geometric population with parameter q ₁ but later it was found that there was a change in the system at some point of time m and it is reflected in the sequence after X _m by change in parameter q ₂. The Bayes estimates of m, q ₁, q ₂, reliability R ₁ (t) and R ₂ (t) at time t are derived for symmetric and asymmetric loss functions under informative and non informative priors. A simulation study is carried out.     

Likelihood Ratio Tests for Interval Hypotheses with Applications

In this article, we derive the likelihood ratio tests (LRTs) for simultaneously testing interval hypotheses for normal means with known and unknown variances, and also with unknown but equal variance. Special cases when the interval hypotheses boil down to a point hypothesis are also discussed. Remarks regarding comparison of the LRT with tests based on combination of p-values are made, and several applications based on real data are mentioned.     

Without-replacement sampling for particle methods on finite state spaces

Combinatorial estimation is a new area of application for sequential Monte Carlo methods. We use ideas from sampling theory to introduce new without-replacement sampling methods in such discrete settings. These without-replacement sampling methods allow the addition of merging steps, which can significantly improve the resulting estimators. We give examples showing the use of the proposed methods in combinatorial rare-event probability estimation and in discrete state-space models.     

英语词块强化注意教学模式的实证研究

注意力是促使语言输入转化为内在知识的必要和充分条件。本研究通过为期一学期的教学实验,对英语词块强化注意教学模式和传统教学模式的教学效果进行了比较,探究了词块强化注意教学模式的有效性。结果发现:该模式教学能显著提高词块应用水平、英语综合水平和作文水平,而对听力和阅读理解水平的提高则无明显效果。研究证实:通过教学手段提高和强化输入词块的频率与突显程度、以及设计以词块输出为中心的教学任务可以促进词块由输入转变成内在知识、提高语言加工深度,从而提高语言产出水平。