Testing for a change point in a sequence of exponential random variables with repeated values

Two test statistics are proposed for the change-point problem with repeated values when the data follow an exponential distribution. The properties of these two statistics have been studied and their asymptotic distributions under the alternative have been derived. The powers of the two test statistics are compared. Real-data examples are presented to illustrate the application of these tests.     

Time series models with asymmetric Laplace innovations

We propose autoregressive moving average (ARMA) and generalized autoregressive conditional heteroscedastic (GARCH) models driven by asymmetric Laplace (AL) noise. The AL distribution plays, in the geometric-stable class, the analogous role played by the normal in the alpha-stable class, and has shown promise in the modelling of certain types of financial and engineering data. In the case of an ARMA model we derive the marginal distribution of the process, as well as its bivariate distribution when separated by a finite number of lags. The calculation of exact confidence bands for minimum mean-squared error linear predictors is shown to be straightforward. Conditional maximum likelihood-based inference is advocated, and corresponding asymptotic results are discussed. The models are particularly suited for processes that are skewed, peaked, and leptokurtic, but which appear to have some higher order moments. A case study of a fund of real estate returns reveals that AL noise models tend to deliver a superior fit with substantially less parameters than normal noise counterparts, and provide both a competitive fit and a greater degree of numerical stability with respect to other skewed distributions.     

C14. Moments of the kolmogorov-smirnov one-sample statistic

In adaptive estimation, it is often considered that an estimator has made a mistake if the component estimator chosen for use is not the most efficient for the distribution sampled. Theoretical and simulation results point to a fallacy in this line of thought. The Monte Carlo study involves extension of the Princeton Swindle to distributions conditional on a location and scale-free statistic, and to the uniform. The results give a partial explanation for the sometimes surprising robustness of adaptive L-estimators.     

乡土童年记忆追溯与童年生活变迁的个案分析

童年是社会和个体相互作用的产物，童年生活反映了一个时代所具有的特点。通过对童年记忆的追溯，发现80后和00后童年生活呈现出截然不同的轨迹，并从童年生活的内容、童年生活的方式、童年生活的空间及童年生活体验对其变迁的过程进行了分析。进而从童年赖以生存的地域空间、社会环境、时代背景的影响尤其是信息化时代的影响等方面讨论了童年生活变迁的原因。并从个案出发反思传统童年生活和现代童年生活之间的关系，以及童年生活中儿童的主体性和创造性作用。     

Introduction: What does the future promise for work,employment and society?

In introducing this double Special Issue, the authors draw on the articles contained therein to highlight the main areas for consideration in research on the future of work. They present the fast‐paced changes affecting the world of work as offering an opportunity to move towards equality‐inducing growth, while warning of the dangers posed by mismanaged technological change, inequalities (highlighting the persistent and intersectional nature of gender inequality), global supply chains and opportunities for social dialogue. In this light, they also propose policy recommendations focusing on strengthening worker protection and representative institutions, rethinking regulatory frameworks and taxation systems, and ensuring just transitions.     

Perceptions of Risk and Vulnerability Following Exposure to a Major Natural Disaster: The Calgary Flood of 2013

Many studies have examined the general public's flood risk perceptions in the aftermath of local and regional flooding. However, relatively few studies have focused on large‐scale events that affect tens of thousands of people within an urban center. Similarly, in spite of previous research on flood risks, unresolved questions persist regarding the variables that might influence perceptions of risk and vulnerability, along with management preferences. In light of the opportunities presented by these knowledge gaps, the research reported here examined public perceptions of flood risk and vulnerability, and management preferences, within the city of Calgary in the aftermath of extensive flooding in 2013. Our findings, which come from an online survey of residents, reveal that direct experience with flooding is not a differentiating factor for risk perceptions when comparing evacuees with nonevacuees who might all experience future risks. However, we do find that judgments about vulnerability—as a function of how people perceive physical distance—do differ according to one's evacuation experience. Our results also indicate that concern about climate change is an important predictor of flood risk perceptions, as is trust in government risk managers. In terms of mitigation preferences, our results reveal differences in support for large infrastructure projects based on whether respondents feel they might actually benefit from them.     

Can art-based reflection help us cope with organisational change in the public sector?

Never before have public sector jobs been so threatened. Fear and anxiety have shifted their focus, from performance to survival. With reference to immediately contemporary works on the NHS in particular, such as Mandelstam (2011) and Leys and Player (2011), the paper establishes the factual validity of the crisis.

The authors conducted a series of workshops for public sector staff to enable them to explore their reactions to the current situation.

It is possible to identify increasing levels of denial and other forms of resistance to change similar to those first identified by Menzies' (1959). Drawing on the work of Bion (cited Obholzer & Roberts, 1994) the paper considers the dangers of a retreat to the paranoid schizoid position, and identifies a theoretical clue in Halton (2004) for turning the trauma of change into a creative opportunity.

Art has access to emotional, spiritual and creative facets of the human mind that science cannot explore. Klein's (1975) consideration of the infantile and regressive aspect of art is acknowledged. The paper then considers what is revealed by a study of specific works of art which were presented in the workshops; including paintings by Bosch, Rousseau, Breughel and Goya. The work of Zagier-Roberts (1998) and Winnicott (1971) is called upon to endorse the usefulness of such a playful collage of responses.

Art can be used to help people move through Kubler Ross' stages of bereavement (1997); not to acceptance but out of the paranoid schizoid position into the depressive position (Klein 1975). Revisiting the work of Halton (2004) and the concept of evolutionary creativity, a move on from the depressive position can begin. Collective validation can be affirmed through a rebooting of the essential public sector values while a radical turning away from organisational priorities, to face the service user, provides a more far reaching optimism than any envisaged by an essentially limited demand for modernisation.

In conclusion the paper considers the recent contributions of Dienst (2011) and Dumenil and Levy (2011) to advocate tactical resistance to the denigration of the public sphere.     

Modified chain sampling plans for lot inspection by variables and attributes

The purpose of acceptance sampling is to develop decision rules to accept or reject production lots based on sample data. When testing is destructive or expensive, dependent sampling procedures cumulate results from several preceding lots. This chaining of past lot results reduces the required size of the samples. A large part of these procedures only chain past lot results when defects are found in the current sample. However, such selective use of past lot results only achieves a limited reduction of sample sizes. In this article, a modified approach for chaining past lot results is proposed that is less selective in its use of quality history and, as a result, requires a smaller sample size than the one required for commonly used dependent sampling procedures, such as multiple dependent sampling plans and chain sampling plans of Dodge. The proposed plans are applicable for inspection by attributes and inspection by variables. Several properties of their operating characteristic-curves are derived, and search procedures are given to select such modified chain sampling plans by using the two-point method.     

Conditional covariance penalties for mixed models

The prediction error for mixed models can have a conditional or a marginal perspective depending on the research focus. We introduce a novel conditional version of the optimism theorem for mixed models linking the conditional prediction error to covariance penalties for mixed models. Different possibilities for estimating these conditional covariance penalties are introduced. These are bootstrap methods, cross-validation, and a direct approach called Steinian. The behavior of the different estimation techniques is assessed in a simulation study for the binomial-, the t-, and the gamma distribution and for different kinds of prediction error. Furthermore, the impact of the estimation techniques on the prediction error is discussed based on an application to undernutrition in Zambia.     

Coastal Adaptation Planning in Fairbourne,Wales: lessons for Climate Change Adaptation

ABSTRACT

Adaptation to climate change is emerging as a central objective and policy frame for coastal communities. This paper examines recent climate change adaptation efforts in the UK, centring on the case of Fairbourne, Wales. The village is facing the long-term prospect of flooding and inundation due to the impacts of sea level rise. The recent Shoreline Management Plan for the area has recommended realignment of the coast and eventual decommissioning of Fairbourne. The paper draws on a qualitative research methodology of interviews, policy review and observation to narrate the case and provide key insights and lessons for planners working in environmentally vulnerable coastal settings and managing climate adaptation processes.