Characterization of probability distributions through higher order gap

Weibull, Burr, Pareto and power function distributions have been characterized through the conditional moments of order statistics with higher gap and some of its important deductions are discussed.     

The fetish of the click: a small history of the computer mouse as vulva

This paper examines the fetish of the click through a technofeminist history of the computer mouse as vulva. It argues that this material turn is a necessary corrective to abstractions of the click in contemporary media studies and the long history of phallic technological practices. Drawing from anthropological, Marxist, and psychoanalytic approaches to fetish, this paper enables a rethinking of the computer mouse in the materiality of what it is and does within its broader cultural formation. This interpretation of the computer mouse serves as a feminist claim to ubiquitous computing technology. Further, the argument connects the computer mouse’s supposed obsolescence to the new and emerging technologies of touch pads and screens.     

Simultaneous estimation of Cronbach’s alpha coefficients

The simultaneous estimation of Cronbachs alpha coefficients from q populations under the compound symmetry assumption is considered. In a multi-sample scenario, it is suspected that all the Cronbachs alpha coefficients are identical. Consequently, the inclusion of non-sample information (NSI) on the homogeneity of Cronbachs alpha coefficients in the estimation process may improve precision. We propose improved estimators based on the linear shrinkage, preliminary test, and the Steins type shrinkage strategies, to incorporate available NSI into the estimation. Their asymptotic properties are derived and discussed using the concepts of bias and risk. Extensive Monte-Carlo simulations were conducted to investigate the performance of the estimators.     

Doubly sparse regression incorporating graphical structure among predictors

Recent research has demonstrated that information learned from building a graphical model on the predictor set of a regularized linear regression model can be leveraged to improve prediction of a continuous outcome. In this article, we present a new model that encourages sparsity at both the level of the regression coefficients and the level of individual contributions in a decomposed representation. This model provides parameter estimates with a finite sample error bound and exhibits robustness to errors in the input graph structure. Through a simulation study and the analysis of two real data sets, we demonstrate that our model provides a predictive benefit when compared to previously proposed models. Furthermore, it is a highly flexible model that provides a unified framework for the fitting of many commonly used regularized regression models. The Canadian Journal of Statistics 47: 729–747; 2019 © 2019 Statistical Society of Canada     

Construction of circular partially balanced-Repeated measurement designs using cyclic shifts

Repeated measurement designs are widely used in medicine, pharmacology, animal sciences and psychology. These designs balance out the residual effects. The situations where balanced repeated measurements designs require a large number of the subjects, partially-balanced repeated measurements designs should be used. In this paper some infinite series are developed which provide circular partially-balanced repeated measurement designs for p (periods) even. Catalogues of circular partially-balanced repeated measurement designs are also presented for v (treatments) ≤ 100 with p = 5, 7 & 9.     

Comparison of the effectiveness of IPSS and VPSS without any help in LUTS patients: a prospective study

Aim: To compare the correlation of visual prostate symptom score (VPSS) and international prostate symptom score (IPSS). To investigate the effect of educational level and age in the responses to VPSS and IPSS.

Method: Three hundred and nine patients who gave consent and applied via LUTS to our institution were included in this study. They were requested to fill IPSS and VPSS. The patients were divided into two groups as middle-aged and elderly with a cutoff point of 65?years. They were divided into six groups based on educational level. SPSS was used for the statistical evaluation.

Results: The mean age of the patients was 61.5?±?8.9?years. The correlation was found between IPSS and VPSS (p?p?=?.332 and .138, respectively). No difference was found between the middle-aged and elderly groups in terms of the rates of inability to answer IPSS and VPSS (p?=?.177 and .681, respectively).

Conclusions: There is a correlation between VPSS and IPSS. VPSS can be used as an auxiliary or alternative tool instead of IPSS in evaluating LUTS; however, has no superiority to IPSS in elderly group. Currently, the best option to exclude bias in illiterate group is VPSS.     

How to Reduce the Impact of Equivalence Scales on Poverty Measurement: Evidence from Turkey

The main aim of the paper is to contribute to the poverty measurement literature by demonstrating a method to reduce the impact of equivalence scales in poverty measurement. This is accomplished by choosing the most appropriate reference household type. The results showed that one adult household is certainly not suitable for being the reference household type. When one adult household is set as the reference, in the range of no equivalence scale and per capita equivalence scale, poverty head count ratio changes from 1 to 48 %, showing the huge effect of the equivalence scale choice. Also the analyses at household size level showed that one adult household type is not convenient to be the reference household type. On the other hand, no clear distinction could be made between central household types, but the importance of choosing a household type close to the center was demonstrated for Turkish data.     

Decision to Emigrate amongst the Youth in Lebanon

This article studies the determinants of youth emigration decisions, which is considered one of the main causes of ‘Brain Drain’ in Arab Mediterranean Countries (AMCs). We focus on the case of Lebanon using a unique dataset covering young people aged 15 to 29 from the year 2016. The aim of the article is to identify the profile of youth's propensity to emigrate from Lebanon. The empirical results indicate that youth from non‐wealthy backgrounds living in smaller dwellings have a higher propensity to emigrate. It is also found that being male and unemployed has a positive effect on migration. Moreover, university education promotes the willingness to emigrate; while residents of poor regions are more likely to express such willingness. Finally, the article provides some insights for policymakers.     

Organizational wisdom practices and firm product innovation

Review of Managerial Science - The manner in which organizational wisdom-related variables or practices (e.g., reasoning, intuition, virtue, prudence, and aesthetics) are related to firm product...     

A new lifetime model with regression models,characterizations and applications

In this article, we introduce a new extension of Burr XII distribution called Topp Leone Generated Burr XII distribution. We derive some of its properties. Useful characterizations are presented. Simulation study is performed to assess the performance of the maximum likelihood estimators. Censored maximum likelihood estimation is presented in the general case of multi-censored data. The new location-scale regression model based on the proposed distribution is introduced. The usefulness of the proposed models is illustrated empirically by means of three real datasets.