Repeated significance tests based on likelihood ratio statistics

For a specified decision rule, a general class of likelihood ratio based repeated significance tests is considered. An invariance principle for the likelihood ratio statistics is established and incorporated in the study of the asymptotic theory of the proposed tests. For comparing these tests with the conventional likelihood ratio tests, based solely on the target sample size, some Bahadur efficiency results are presented. The theory is then adapted in the study of some multiple comparison procedures     

Eating heritage: caste,colonialism, and the contestation of adivasi creativity

ABSTRACT

This paper uses a multiple colonialisms approach to study cultural production in India and argue that coloniality is not a casteless structure of violence. In discursive and planning rhetoric, ‘creativity is in India’s DNA.’ This discourse incites the poor to harness and develop their tangible and intangible cultural heritage in order to feed themselves. Foregrounding anti-caste, Dalit scholarship in conversation with extant formulations of decolonial aesthetics focuses urgent attention on the fact that caste domination and violence structure inter-state political systems of development planning and post/colonial state discourses of heritage that claim to feed the caste-oppressed poor with their own creativity. This article attends to the political histories and critiques of Indigenous Chhara performance artists because their expressive cultures foreground anti-caste struggles against simultaneous state erasure and capture of Indigenous creativity. Against planning’s compensatory solution of eating heritage, anti-caste scholarship and the creative politics of Budhan Theatre refute the apparent castelessness of what counts as creativity and heritage, demonstrating that optimistic global creative economy discourses actually rely upon caste and colonial histories to entrench caste-based definitions of heritage within international and national development regimes. Budhan Theatre’s decolonizing cultural production avoids the mistakes of postcolonial scholarship and its erasure of caste histories. They prompt a multiple colonialisms approach which refuses labels of postcolonial or settler colonial states to privilege instead attention to the actually existing contemporary ways in which caste violence structures inter-state systems of violence, policies, and discourses.     

New control charts for simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles

Simultaneous monitoring of the mean vector and covariance matrix in multivariate processes allows practitioners to avoid the inflated false alarm rate that results from using two independent control charts. In this paper, we extend exponentially weighted moving average semicircle and generally weighted moving average semicircle control charts to monitor the mean vector and covariance matrix of multivariate multiple linear regression profiles in Phase II simultaneously. These new control charts are compared with the existing control charts in the literature in terms of the average run length criterion. Finally, a case is considered to show the application of the proposed charts.     

Multiple Social Networks in Grassroots Governance in Rural China*

Existing research on grassroots rural governance in China adopts a network perspective to explore the role of traditional social vehicles including clans, clan clusters and popular beliefs in improving village governance. However, most of this research has concentrated on analyzing the way in which horizontal network relationships lead to effective village governance. It has thus to some extent neglected the basic reality of the overlapping interconnections between the “top-down” administrative system and the informal structure of village governance. In fact, an analysis that proceeds from the features of the government’s own organizational network, the social structure of the village itself and the position of its elites in order to focus on modes of interaction within the village under the intermixture of (formal) system design and (informal) social relations, shows that differences in the composition of the government’s promotional networks resulting from the traits of key officials affect the speed of policy dissemination as well as the government’s mode of interaction with the village elites. Moreover, differences in these modes of interaction further influence the subsequent operation of self-organization based on social traditions (“filial piety” or “morality”). At the same time, structural elements, including the economic and social relations of the village itself, determine whether self-organization will improve the quality of governance in the long term. This finding can serve as a reflection on and critique of the theories of “strong government” and “tradition” current in academia.     

Strategic philanthropy and its challenges in India: A multiple case study of grantmaking organizations

Grantmaking organizations in the United States play an increasingly important role in philanthropic giving toward international development issues. Champions of strategic philanthropy have encouraged grantmakers to set clear goals, use evidence‐based strategies, and monitor programs. This exploratory study delves into grantmaking in one of the largest emerging economies; India. Although India is a major recipient of private philanthropy, it continues to perform below average on various socio‐economic indicators. The impact of grantmaking has been unclear. We conducted in‐depth interviews with managers and leaders (n = 9) engaged in decision‐making within U.S. based grantmaking organizations, including nonprofit intermediaries and philanthropic foundations. We examine how the concept of strategic philanthropy is operationalized by participant organizations. Although the participants acknowledge the importance of starting out with a well‐defined strategy, they also face several challenges. We identify some of these challenges, outline how they are being addressed, and discuss implications.     

课题式教学在《建筑外观设计》教学中的应用

在教授《建筑外观设计》课程的过程中,基于课程本身现状,不断需找与之能够更好结合并且能够快速提升教学效果,提高学生能力的教学方法。面对目前《建筑外观设计》教学环节出现的问题提出采用项目式教学开展课程教学。通过对该教学模式改进教学内容、教学过程和教学方法从而培养学生的设计实践能力,促使艺术设计教育面向实际、面向市场。     

A backward procedure for change-point detection with applications to copy number variation detection

Change-point detection regains much attention recently for analyzing array or sequencing data for copy number variation (CNV) detection. In such applications, the true signals are typically very short and buried in the long data sequence, which makes it challenging to identify the variations efficiently and accurately. In this article, we propose a new change-point detection method, a backward procedure, which is not only fast and simple enough to exploit high-dimensional data but also performs very well for detecting short signals. Although motivated by CNV detection, the backward procedure is generally applicable to assorted change-point problems that arise in a variety of scientific applications. It is illustrated by both simulated and real CNV data that the backward detection has clear advantages over other competing methods, especially when the true signal is short. The Canadian Journal of Statistics 48: 366–385; 2020 © 2020 Statistical Society of Canada     

The school experience of children in residential care: A multiple case study

Children in residential care are the out‐of‐home population group with the lowest rate of access to postsecondary education. Research aimed at understanding their situation within the school context suggests that besides learning progress and outcomes, subjective experiences should be taken into account. Qualitative research based on a multiple‐case study was designed and carried out in Spain with the aim of deepening the understanding of the individual school experiences of three children in residential care. Each case was analysed from the perspective of the child, the educators and the teachers. Semistructured, one‐to‐one interviews were carried out, and children's files were consulted. The results pointed to emotional distress and accumulated educational delay as common traits of the three children in the study. In shaping each particular school experience, the key themes identified included (1) individual characteristics, (2) the children's academic aspirations and strategies, (3) relationships with peers and teachers, (4) response experienced in school, (5) the complex structure of the residential centre, (6) the sense of belonging to the residential centre, (7) team work and (8) political action and investment in inclusive education.     

A bayesian predictive approach to the selection of variables in multiple regression

The squared error loss function applied to Bayesian predictive distributions is investigated as a variable selection criterion in linear regression equations. It is illustrated that “cost-free” variables may be eliminated if they are poor predictors. Regression models where the predictors are fixed and where they are stochastic are both considered. An empirical examination of the criterion and a comparison with other techniques are presented.     

Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach

Competing risks often occur when subjects may fail from one of several mutually exclusive causes. For example, when a patient suffering a cancer may die from other cause, we are interested in the effect of a certain covariate on the probability of dying of cancer at a certain time. Several approaches have been suggested to analyse competing risk data in the presence of complete information of failure cause. In this paper, our interest is to consider the occurrence of missing causes as well as interval censored failure time. There exist no method to discuss this problem. We applied a Klein–Andersen's pseudo-value approach [Klein, JP Andersen PK. Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function. Biometrics. 2005;61:223–229] based on the estimated cumulative incidence function and a regression coefficient is estimated through a multiple imputation. We evaluate the suggested method by comparing with a complete case analysis in several simulation settings.