Parametric estimation of location and scale parameters in ranked set sampling

This paper develops parametric inference for the parameters of location-scale family of distributions based on a ranked set sample. Likelihood function incorporates within-set ranking errors into the model through a missing data mechanism. The maximum likelihood estimators of the location-scale and missing data model parameters are constructed and an EM-algorithm is provided. It is shown that the proposed estimator is robust against imperfect ranking error and provides higher efficiency over its competitors.     

The limiting distribution of the F-statistic from nonnormal universes

We consider a linear regression model with an unbalanced 1-fold nested error structure, where group effect and error are from nonnormal universes. The limiting distribution of the F-statistic in this model is derived, as the sample size is large and group sizes take values from a finite set of distinct integers. The result is used to approximate the F-distribution quantile and to test the significance of the random effect variance component. Results are also applicable to the F-statistic in the one-way random-effects model. The effects of departure from normality on the F-statistic distribution are given.     

In the steps of Joan Acker: A journey in researching inequality regimes and intersectional inequalities

Inspired by two of Acker's interconnected concepts, inequality regimes and intersectionality, the authors revisit their intersectional research. By exploring their various studies on inequality regimes and intersectionality, the authors propose some novel insights that have emerged from an aggregate appraisal of some 17 empirically researched papers, all shaped by Joan Acker's sociology. While Acker's work on gender and organizations has provided crucial insights into much of this work, this article concentrates on the overarching concept of inequality regimes and then focuses in on less‐developed aspects of intersectionality in Acker's work. In doing so, it reconsiders the value of inequality regimes in pushing the boundaries of intersectional insights.     

The key role of positive parenting and children’s temperament in post‐institutionalized children’s socio‐emotional adjustment after adoption placement. A RCT study

Parenting interventions represent a means for experimentally inquiring socio‐emotional change of post‐institutionalized children after adoption. We used this approach in a three time point RCT study involving 83 post‐institutionalized children (M_age = 33.5 months, SD = 17.1) and their adoptive mothers (M_age = 42.6, SD = 3.9), attending either the Video‐Feedback Intervention to promote Positive Parenting in adoption and foster care or a dummy intervention. Controlling for gender and age at adoption, children showed a significant change in their socio‐emotional adjustment in the specific variables inquired—that is, emotional availability‐EA, and behavioral problems—after intervention attendance. Mediation and moderated mediation models showed that maternal EA was a main factor affecting children’s EA and externalizing behavioral problems, with a key moderating role played by children’s temperament; children with high scores on temperamental negative affect benefitted most from their mothers’ increase in EA.     

Rank-based ridge estimation in multiple linear regression

Multicollinearity and model misspecification are frequently encountered problems in practice that produce undesirable effects on classical ordinary least squares (OLS) regression estimator. The ridge regression estimator is an important tool to reduce the effects of multicollinearity, but it is still sensitive to a model misspecification of error distribution. Although rank-based statistical inference has desirable robustness properties compared to the OLS procedures, it can be unstable in the presence of multicollinearity. This paper introduces a rank regression estimator for regression parameters and develops tests for general linear hypotheses in a multiple linear regression model. The proposed estimator and the tests have desirable robustness features against the multicollinearity and model misspecification of error distribution. Asymptotic behaviours of the proposed estimator and the test statistics are investigated. Real and simulated data sets are used to demonstrate the feasibility and the performance of the estimator and the tests.     

Evaluation of the relationship between compliance with the follow-up and treatment protocol and health literacy in bladder tumor patients

Abstract

Objective: To investigate the relationship between the compliance of bladder cancer patients with cystoscopic follow-up and the treatment protocol, and their health literacy.

Methods: Patients who underwent transurethral resection surgery for bladder tumor were found to have non-muscular invasive bladder carcinoma on pathology examination and then underwent cystoscopic follow-up for 1?year or more were included in the study. Cystoscopic follow-up was recommended to the low- and high-risk groups in terms of progression and recurrence. The patients were evaluated with the Health Literacy Survey-European Union scale.

Results: The mean age of the patients was 67.13?±?10.77 years. The treatment continuity rate was 80.50% (n?=?33) in the adequate health literacy group (n?=?41) and significantly higher than the 56.50% (n?=?48) rate in the inadequate health literacy group (n?=?85) (p?=?.008). The health literacy results revealed that the health promotion and general index score was higher in the group of patients under the age of 65.

Conclusions: Adequate health literacy in bladder cancer patients is associated with better compliance with the treatment protocol. Young patients show better compliance with the follow-up protocol recommended by the physician. Increasing the follow-up protocol compliance of elderly patients with inadequate health literacy is necessary.     

Model,Event, Context: Globalization,Arab Social Movements,and the Modeling of Global Order

In this article I scrutinize a particular discursive strategy that attempts to straightjacket the new social movements in the Arab uprisings. Rather than being open to new forms of polities and alternative modes of economic and social organization, an emerging governmental and scholarly discourse calls for a model of development for the Arab world. I argue that this model limits political imagination; and that it is the effect of a late modern logic that seeks to impose a particular form of politics in global political life. In, and through, the language of an archetype, these social movements, and the emerging polities, are being tamed to inherit the tensions and fragilities of a certain form of political and economic globalization.

En este artículo examino detalladamente una estrategia particularmente divagadora, que trata de restringir los nuevos movimientos sociales en los levantamientos árabes. En vez de abrirse a nuevos sistemas de gobierno y medios alternativos de organización económica y social, un planteamiento de gobierno emergente y académico exige un modelo de desarrollo para el mundo árabe. Sostengo que este modelo limita la imaginación política y que es el efecto de una lógica moderna tardía que busca imponerse a una forma particular de política en la vida política global. Estos movimientos sociales y los sistemas de gobierno nacientes dentro y a través del lenguaje de un arquetipo, se han domado para heredar las tensiones y fragilidades de cierta forma de globalización política y económica.

本文中,我详细审视了一种特定的话语策略,它试图严格限定阿拉伯起义中的新社会运动。 一套新近兴起的政府和学术话语呼吁阿拉伯世界的发展模式,而非对新形式的政体及替代性经济和社会组织模式开放。我认为,这种模式限定了政治想象力,它是试图在全球政治生活中强加一种特定政治形式的晚期现代逻辑作用的结果。在原始类型的语言中,或通过这种语言,这些社会运动及新兴政体正被驯服,以继承某种形式的政治和经济全球化的紧张与脆弱。     

Ratio estimators based on a ranked set sample in a finite population setting

This paper considers the ratio estimator in a finite population setting in a ranked set sampling (RSS) design, where the sample is constructed either with or without replacement policies. It is shown that the proposed ratio estimator is slightly biased, but the amount of bias is smaller than the amount of bias of a simple random sample (SRS) ratio estimator. For the proposed ratio estimator, the paper provides explicit expressions for its mean square error and precision relative to the other competing estimators. It is shown that the new estimator has a substantial amount of improvement in efficiency with respect to SRS estimator. The proposed estimator is applied to two different finite population settings to estimate population mean.     

A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry

Evidence suggests that specifically designed frameworks to implement Lean Six Sigma (LSS) projects to tackle particular problems are more effective than ‘generic’ versions. This paper proposes an implementation framework to effectively deploy LSS to improve a key operation and performance indicator, i.e. ship loading commercial time, of one of the largest world producer of iron ore. This article therefore contributes with a refined framework to effectively implement LSS, and documents its successful application and effectiveness within the context of the case organisation. The LSS framework and project contributed in helping the studied organisation to improve both the capability of its ship loading process and commercial time by more than 30%, resulting in operational savings in the range of $300,000 USD per year. The systematic nature of the framework proposed also helped the organisation to establish a standardised routine to improve its operations. Managerial implications exposing the challenges faced during the implementation of LSS are also discussed to serve as lessons learnt to be considered in other LSS projects. Managers and engineers incharge of improving operations and processes can benefit from this paper as it can be used as a guide to direct the conduction of LSS projects and the empirical application of its principles and tools.