Analyzing the dynamic system model with discrete failure time distribution

The present study deals with the method of estimation of the parameters of k-components load-sharing parallel system model in which each component’s failure time distribution is assumed to be geometric. The maximum likelihood estimates of the load-share parameters with their standard errors are obtained. (1 − γ) 100% joint, Bonferroni simultaneous and two bootstrap confidence intervals for the parameters have been constructed. Further, recognizing the fact that life testing experiments are time consuming, it seems realistic to consider the load-share parameters to be random variable. Therefore, Bayes estimates along with their standard errors of the parameters are obtained by assuming Jeffrey’s invariant and gamma priors for the unknown parameters. Since, Bayes estimators can not be found in closed form expressions, Tierney and Kadane’s approximation method have been used to compute Bayes estimates and standard errors of the parameters. Markov Chain Monte Carlo technique such as Gibbs sampler is also used to obtain Bayes estimates and highest posterior density credible intervals of the load-share parameters. Metropolis–Hastings algorithm is used to generate samples from the posterior distributions of the unknown parameters.     

English and discourses of commodification among tourism workers in the Himalayas

In this article, I investigate commodification discourses and ideologies of English from the perspective of Nepali tourism workers. Drawing data from interviews with porters and trekking guides in Nepal, I argue that English is not seen as merely a transactional means to convey meaning; it works in combination with the traditional form of labor and care in the local economy, establishing itself as a powerful tool to establish closer interpersonal relationships, enhance such interpersonal relationships for economic gains and commodify local identities and cultures in the tourism market. The interview and ethnographic details show that language learners are agentive and capable of making sense of their actions by positioning themselves variously in terms of ethnicity, economic class and job category. These workers think that tourists' linguistic and financial resources are the empowering tools that enable them to travel to locations that they want. They also want to empower themselves with English skills and translocal imaginaries to travel and see the world beyond their immediate reach. Repertoires in English are considered as instruments to mediate their imaginaries and the foreign worlds they want to be part of.     

The immigration issue in Assam and conflicts around it

Assam, the northeastern state of India, has experienced strong anti-outsider sentiment for more than half a century now. What makes the Assam case unique is that it has faced both internal as well as illegal international migration in massive scales giving rise to intense existential fear and apprehension among its smaller indigenous communities. Their lack of the required political authority and the indifferent attitude of the Indian Union government in addressing the issue have only multiplied its magnitude. The article explicates the politico-economic dynamics of the immigration issue in Assam and the social tension and conflicts around it in a historical perspective and suggests that a multi-pronged approach backed by strong political will is imperative to negotiate the challenges of immigration in the state in an effective manner.     

Female Juvenile Violent Behavior: Bonding Systems and Other Mediating Constructs

The purpose of this research was to examine a conceptual/theoretical model with negative (substance use) and positive (extracurricular activities) mediating factors between several bonding systems and violent behavior among female youth. Since much of the prior researches have focused on both males and females therefore this study is focusing on females only. Data from the 2011 National Survey on Drug Use and Health was used for this study. For the purpose of this study female research participants between the age of 12–17 were selected (N = 9383). At the stage of bivariate analysis, parental bonding system was omitted from a model before moving onto a structural equation modeling (SEM) analysis as most of the correlations between indicators of parental bonding systems and dependent variables were not significant. Revised model with two bonding systems on violent behavior through two mediating constructs, extracurricular activities and substance use were tested through the SEM and Sobel test analyses. This structural model specifies a satisfactory fit with the sample. Several mediating effects within this model, which help lower the occurrence of violent behavior, were also validated.     

Dietary and Inhalation Intake of Lead and Estimation of Blood Lead Levels in Adults and Children in Kanpur, India

This research was initiated to study lead levels in various food items in the city of Kanpur, India, to assess the dietary intake of lead and to estimate blood lead (PbB) levels, a biomarker of lead toxicity. For this purpose, sampling of food products, laboratory analysis, and computational exercises were undertaken. Specifically, six food groups (leafy vegetables, nonleafy vegetables, fruits, pulses, cereals, and milk), drinking water, and lead air concentration were considered for estimating lead intake. Results indicated highest lead content in leafy vegetables followed by pulses. Fruits showed low lead content and drinking water lead levels were always within tolerable limits. It was estimated that average daily lead intake through diet was about 114 microg/day for adults and 50 microg/day in children; tolerable limit is 250 microg/day for adults and 90 microg/day for children. The estimated lead intakes were translated into the resultant PbB concentrations for children and adults using a physiologically-based pharmacokinetic (PBPK) model. Monte Carlo simulation of PbB level variations for adults showed that probability of exceeding the tolerable limit of PbB (i.e.,10 microg/dL) was 0.062 for the pre-unleaded and 0.000328 for the post-unleaded gasoline period. The probability of exceeding tolerable limits in PbB level was reduced by a factor of 189 in the post-unleaded scenario. The study also suggested that in spite of the introduction of unleaded gasoline, children continue to be at a high risk (probability of exceeding 10 microg/dL = 0.39) because of a high intake of lead per unit body weight.     

Validity and reliability of proposed framework of manufacturing excellence in the Indian industry

This article presents the findings of the empirical study of proposed framework of manufacturing excellence (ME) in the Indian industry. The study includes companies from five major sectors, namely automobile, process, machines and equipment, electronics and components and textile. Responses from 90 companies were analysed to explore the validity and reliability of the proposed framework of ME in Indian industry. The developed questionnaire is outlined along with the results obtained from the analysis of the data from the Indian industry. The framework shows high level of reliability and validity.     

Selective Out-Migration from Florida

I test if selective out-migration of unhealthy seniors explains why disability rates are so much lower for Florida, as compared to the national average. This particular area of research is timely given the significant demographic changes relating to aging. Moreover, this study contributes to the body of literature examining migration with respect to disability and widowhood. Using State Federal Information Processing Standard (FIPS) and Public Use Microdata Areas (PUMA), I create national maps showing disability rates for the following age-groups: 50–59, 60–69, and 70+. After creating maps in ARCGIS and conducting univariate and clustering analysis on mobility disability and personal care limitation, I employ multinomial logit (MNL) analysis to test if individuals with disability are more likely to out-migrate from Florida. The regression analyses lend support to the relaxed Litwak and Longino (The Gerontologist, 27(3): 266–272, 1987) second-move hypothesis, which claims individuals with progressively worse health are more likely to undertake another move to be closer to family and friends. I state “relaxed” because the data does not allow one to determine the reason for migration—only that migration occurred during the past year. This research informs policy-makers to recognize that elderly in better health may migrate to places such as Arizona and Florida due to amenity-seeking behavior, but unhealthy elderly are more likely to leave these states due to assistance-seeking behavior. This out-migration can place excess demand on health services for the incoming regions, which requires state and local government to ensure resources are in place. Also noteworthy, my results are less likely to be flawed by erroneous age and sex data in the public use microdata samples (IPUMS) since I stack the 2006 and 2007 American Community Survey (ACS). A recent working studies by Alexander et al. (Inaccurate age and sex data in the Census PUMS files: Evidence and implications. Munich: CESifo, 2010) shows inaccuracies in the IPUMS for the 1 and 5% 2000 Census, the 2003–2006 ACS, the 2005–2007 3-year ACS, and the 2004–2009 current population survey (CPS) files.     

The quantile-based flattened logistic distribution: Some properties and applications

In this paper, the quantile-based flattened logistic distribution has been studied. Some classical and quantile-based properties of the distribution have been obtained. Closed form expressions of L-moments, L-moment ratios and expectation of order statistics of the distribution have been obtained. A quantile-based analysis concerning the method of matching L-moments estimation is employed to estimate the parameters of the proposed model. We further derive the asymptotic variance–covariance matrix of the matching L-Moments estimators of the proposed model. Finally, we apply the proposed model to simulated as well as two real life datasets and compare the fit with the logistic distribution.     

Do changes in patent policy influence firms’ technology strategy? Evidence from manufacturing in India

India made patent policy changes to comply with TRIPs agreement that increased the rights of patent owners. Considering that such policy changes influence both in-house research and development investments and technology licensing from external sources, the firms have to accordingly devise their technology strategy. This study employs a simple and fixed effects multinomial logit regression models to study the impact of policy changes on the technology strategy of 402 firms operating in Indian manufacturing sector from 1999 to 2014. The results show that changes in patent policy have a significant impact on technology strategy of firms.