A Method of Finding Predictor Genes for a Particular Disease Using a Clustering Algorithm

Clustering Algorithms are nowadays really important tools in microarray data analysis. The different clustering algorithm generally used in biological science does not take into consideration the underlying probability distribution of the data. In this sense, they are heuristic in nature. In this work we proposed a clustering algorithm based on EM Algorithm. It gives 28% less misclassification than the K-means algorithm (which is mostly use in Bio science). We have also shown on a real data set that this algorithm can be efficiently used for detecting the genes which are responsible for a particular disease.     

Protection of privacy in efficient application of randomized response techniques

In estimating the proportion of people bearing a sensitive attribute A, say, in a given community, following Warner’s (J Am Stat Assoc 60:63–69, 1965) pioneering work, certain randomized response (RR) techniques are available for application. These are intended to ensure efficient and unbiased estimation protecting a respondent’s privacy when it touches a person’s socially stigmatizing feature like rash driving, tax evasion, induced abortion, testing HIV positive, etc. Lanke (Int Stat Rev 44:197–203, 1976), Leysieffer and Warner (J Am Stat Assoc 71:649–656, 1976), Anderson (Int Stat Rev 44:213–217, 1976, Scand J Stat 4:11–19, 1977) and Nayak (Commun Stat Theor Method 23:3303–3321, 1994) among others have discussed how maintenance of efficiency is in conflict with protection of privacy. In their RR-related activities the sample selection is traditionally by simple random sampling (SRS) with replacement (WR). In this paper, an extension of an essential similarity in case of general unequal probability sample selection even without replacement is reported. Large scale surveys overwhelmingly employ complex designs other than SRSWR. So extension of RR techniques to complex designs is essential and hence this paper principally refers to them. New jeopardy measures to protect revelation of secrecy presented here are needed as modifications of those in the literature covering SRSWR alone. Observing that multiple responses are feasible in addressing such a dichotomous situation especially with Kuk’s (Biometrika 77:436–438, 1990) and Christofides’ (Metrika 57:195–200, 2003) RR devices, an average of the response-specific jeopardizing measures is proposed. This measure which is device dependent, could be regarded as a technical characteristic of the device and it should be made known to the participants before they agree to use the randomization device. The views expressed are the authors’, not of the organizations they work for. Prof Chaudhuri’s research is partially supported by CSIR Grant No. 21(0539)/02/EMR-II.     

DOMAIN ESTIMATION IN FINITE POPULATIONS1

This paper suggests unbiased estimators (UE's) for the size, mean and total of a domain, with specific features, in a given finite population on the basis of simple random sampling without replacement (SRSWOR) continued till a preassigned number of domain members is observed.     

Bhattacharyya distance based linear discriminant function for stationary time series

The problem of classifying a covariance stationary normal time series is considered. Under certain regularity conditions, a compact form of the linear discriminant function in the sense of maximizing the Bhattacharyya distance is obtained.     

Analysing critical success factors to implement sustainable supply chain practices in Indian automobile industry: a case study

The aim of this article is to analyse the critical success factors (CSFs) behind the successful implementation of sustainable supply chain practices in Indian automobile industry. Supply chain sustainability is a critical and timely topic for the developing country like India that captures increasing concerns over sustainability, whether driven by current legislation, public interest or competitive opportunity. Identification of CSFs responsible for sustainable supply chain practices and evaluating their contextual relationships has the potential to affect future government policy, current production operations and identify new business models. In response to this, this paper intends to identify CSFs based on organisational theory and model them to implement sustainable supply chain practices in Indian automobile industry. Twenty-five CSFs to implement sustainable supply chain practices based on organisational theory are recognised by means of the literature review and in discussions with experts in one case study organisation. A solution methodology based on the interpretive structural modelling (ISM) technique is used to propose a structural model, which not only helps in understanding the contextual relationship among these CSFs, but also in determining their interdependence to implement sustainable supply chain practices. Further, the importance of CSFs has been determined based on their driving and dependence power using MICMAC analysis. Our overarching thesis is that the insights gained are useful for Indian automobile industry and would help practitioners, regulators and academicians to focus their efforts towards implementation of sustainable supply chain practices.     

Hypogonadotrophic hypogonadism in type 2 diabetes

Recent work shows a high prevalence of low testosterone and inappropriately low luteinizing hormone (LH) and follicle stimulating hormone (FSH) concentrations in type 2 diabetes. This syndrome of hypogonadotrophic hypogonadism (HH) is associated with obesity in patients with type 2 diabetes. However, the duration of diabetes or HbA1c are not related to HH. Furthermore, recent data show that HH is not associated with type 1 diabetes. C-reactive protein concentrations have been shown to be elevated in patients with HH and are inversely related to plasma testosterone concentrations. This inverse relationship between plasma free testosterone and C- reactive protein concentrations in patients with type 2 diabetes suggests that inflammation may play an important role in the pathogenesis of this syndrome. This is of interest since inflammatory mechanisms may have a cardinal role in the pathogenesis of insulin resistance. It is also relevant that in the mouse, deletion of the insulin receptor in neurons leads to HH in addition to a state of systemic insulin resistance. It has also been shown that insulin facilitates the secretion of gonadotrophin releasing hormone (GnRH) from neuronal cell cultures. Thus, HH may be the result of insulin resistance at the level of the GnRH secreting neuron. Low testosterone concentrations are also related to an increase in total and regional adiposity. This review discusses these issues and attempts to make the syndrome relevant as a clinical entity. Clinical trials are required to determine whether testosterone replacement alleviates insulin resistance and inflammation. In addition, low testosterone levels are associated with an increase in cardiovascular events. Testosterone therapy may therefore, reduce cardiovascular risk. This important aspect requires further investigation.     

Some implications of an intensity measure of envy

This article proposes a cardinal or an intensity measure of interpersonal envy by directly measuring the distance between the envied person's consumption bundle and the envious person's equilibrium indifference curve. The individual's intensity of envy is aggregated to form a social envy index, which in turn is combined with the Pareto criterion to form a social choice rule. This social choice rule generates a non-empty choice set with the fair set (envy-free and Pareto efficient social states) as a proper subset of the choice set. The intensity measure of envy is then applied to the Rawlsian problem of the worst-off person. It turns out that the person with the greatest envy need not be the poorest person. Finally, it is shown that if individuals have homothetic and identical preferences the measure of envy collapses into a measure of income inequality. This measure of income inequality satisfies soem appealing axioms.I am grateful to William Vickrey and Duncan Foley for orginally encouraging the idea of intensity of envy. This version has benefited greatly from suggestions and criticisms made by F. William McElroy     

Socioeconomic determinants of the intra-family status of wives in rural India: Analysis and empirical evidence

Relying on a structured survey of 117 wives in four rural villages in the Midnapore District of West Bengal, this article investigates the influence on the intra-family status of wives of variables that may increase the bargaining power of wives in their family. Saveral indicators of status are considered and investigated using the ANOVA technique and probit analysis. The main hypothesis considered is whether the results support bargaining theories of the intra-household status of wives or the view that gender status is primarily determined in Indian society by social customs and the patriarchal structure of society. Given the overall patriarchal structure of Indian society, the results indicate that bargaining theories are at best only marginally relevant. Situations that result in greater bargaining power for wives in Western societies do not necessarily do so in north India given the total pervasiveness of its patriarchal society. Research for this paper benefited from a grant by the Australian Research Committee     

“I Will Be Out There Every Day Strong!” Protest Policing and Future Activism Among Ferguson and Baltimore Protesters

An established body of literature shows that people engage in protest events for a number of reasons, including grievances, collective identity, increased efficacy, and emotions. However, it is unclear what happens to individuals’ motivation toward protest participation as they experience the reality of repressive policing. This study contributes to the theoretical body of knowledge of protest policing and social movements by investigating the microlevel processes that affect protest participation. Specifically, we build from the insights of previous research by examining how 102 Ferguson and Baltimore protesters with varying levels of commitment—revolutionary, intermittent, tourist—experienced repressive policing and how such tactics affected their subsequent decision to engage in future activism. Our findings suggest that those with the strongest commitment toward protest goals experienced the most repressive tactics, and yet did not seem to be deterred in their motivation to be engaged in future protests. In contrast, while repressive tactics appeared to deter the less committed individuals from street protests, they remained motivated to engage in other forms of civic engagement.     

Small domain estimation by empirical bayes and kalman filtering procedures - a case study

An application of empirical Bayes and Kalman filtering tecniques is reported, using live data from Indian Statistical Institute (ISI), Calcutta . to illustrate how initial small domain estimators may be vastly improved upon. A stratified two stage sampling procedure is adopted, allowing selection of first stage units with unequal probabilities but of second stage units with equal probabilities. Standard design-based estimators for domain totals are initialized based on domain specific survey data alone. Strength is then borrowed across domains and from past surveys. The resulting gains in efficacy are numlerically demonstrated, through replicated sampling from official records.