Nonparametric regression for dependent data in the errors-in-variables problem

We consider the nonparametric estimation of the regression functions for dependent data. Suppose that the covariates are observed with additive errors in the data and we employ nonparametric deconvolution kernel techniques to estimate the regression functions in this paper. We investigate how the strength of time dependence affects the asymptotic properties of the local constant and linear estimators. We treat both short-range dependent and long-range dependent linear processes in a unified way and demonstrate that the long-range dependence (LRD) of the covariates affects the asymptotic properties of the nonparametric estimators as well as the LRD of regression errors does.     

Preventive replacement policies with products update announcements

Abstract

When we consider the improvement of the functional performances that are released by the new updates of the products, it is an interesting problem to revisit the existing replacement policies. For such a viewpoint, four replacement models with product update announcements, i.e., PUA for abbreviation, are given in this paper: Model 1, the unit is replaced at time T or at PUA over time T. Model 2, the unit is replaced at the Kth failure or at PUA over the Kth failure. By considering both time T and failure K, Models 3 and 4 are obtained based on the approaches of replacement first and last. We obtain the expected cost rates for four models and discuss analytically their optimal replacement policies Further, numerical examples are given when the time for PUA has an exponential distribution.     

Detecting a change in variances

The likelihood ratio test for testing for a change in a sequence of variances of normal populations is derived. The alternative hypothesis considered is of a one-sided nature. For the test, the conservativeness of the Sidak bound is shown and the asymptotic version of the Sidak bound is also constructed. These bound are compared with the Bonferroni bound and the Worsley bound, using the Monte Carlo method. Finally Hsu's data of stock market returns is reanalysed, using the test.     

Leadership across levels: Levels of leaders and their levels of impact

This article assesses 25 years of empirical leadership research in 11 top journals with the goal of understanding current practice and future needs for drawing solid conclusions about leadership at different hierarchical levels of the organization, as well as leadership’s effects on individuals, teams, units and organizations. We summarize the hierarchical level of leader and outcome level of analysis studied in different theoretical perspectives on leadership (traits, behavioral, transformational, LMX, strategic, shared) and by journal outlet. Among our findings, we observe that significantly less attention has been devoted to team- and unit-level emergent processes and outcomes, despite its conceptual relevance for leadership theory and practice. Four critical opportunities for advancing leadership science are presented.     

从广告看世界经济的全球化发展

广告是个人消费的函数,从广告的发展可以考察到全球各国的经济发展状况.通过运用主成分分析等统计方法,从全球范围考察广告与经济发展(尤其是供求关系),对大量数据加以分析和证明发现:广告的发展,呈正值的多为发达国家.而中国是惟一和发达国家并驾齐驱的发展中国家.这清楚地表明了20世纪90年代中国经济和广告的发展之迅速.     

Strength-training behavior and perceived environment among Japanese older adults

The authors examined the relationship between strength-training behavior and perceived environment in older Japanese adults. An Internet-based survey was conducted of 293 adults age 68.2 ± 2.8 yr. The dependent variable was regular strength-training behavior. The IPAQ environment module, access to facilities for strength training, and home equipment for strength training were environmental factors. Logistic-regression analysis was employed. After demographic variables (gender, age, educational background, household income, body-mass index, self-rated health status, smoking habit, and residential area) were adjusted for, home equipment for strength training (OR = 2.14, 95% CI = 1.50-3.06), access to facilities for strength training (OR = 2.53, 95% CI = 1.32-4.85), and observing active people (OR = 2.20, 95% CI = 1.06-4.58) were positively correlated with regular strength-training behavior. In conclusion, environmental factors associated with strength-training behavior were access to facilities for strength training, having home equipment for strength training, and observing active people.     

Repeating probability of authors with retracted scientific publications

Both the scientific community and the general public have expressed concern over scientific misconduct. The number of retracted articles has increased dramatically over the past 20 years and now comprises about .02% of the 2 million articles published each year. Retraction of publications available in large public databases can be analyzed as an objective measure for scientific misconduct and errors. In this project, we analyzed retractions of scientific publications using the Web of Science (WoS) and PubMed databases. We found that a power law is applicable to distributions of retracting authors and retracted publications with exponents of about ?.6 and ?3.0, respectively. Application of a power-law model for retracted publications implies that retraction is not a random event. Analysis of the retraction distributions suggests that a small fraction (1–2%) of retracting authors with ≧5 retractions are responsible for around 10% of retraction. The probabilities for their repeating retraction are calculated using a statistical model: 3–5% likelihood of repeat retraction for authors with a single retraction at five years after the latest retraction and 26–37% for authors with five retractions at five years after the latest retraction. By focusing on those with repeated retractions, this analysis could contribute to identification of measures to reduce such repetition of retractions.     

A classifier under the strongly spiked eigenvalue model in high-dimension,low-sample-size context

Abstract

We consider the classification of high-dimensional data under the strongly spiked eigenvalue (SSE) model. We create a new classification procedure on the basis of the high-dimensional eigenstructure in high-dimension, low-sample-size context. We propose a distance-based classification procedure by using a data transformation. We also prove that our proposed classification procedure has consistency property for misclassification rates. We discuss performances of our classification procedure in simulations and real data analyses using microarray data sets.     

Diversification as a New Disciplinary Power: Gender and Sexual Subjectivity in Postmodernity

Nowadays, the power of gender and sexuality works not only to reinforce and reconstruct the essentialized norms but also, in direct opposition, to deconstruct these norms. The new disciplinary power and its discourse encourages people to have diverse and fluid self/body images. This article aims to discuss the new characteristics of gender and sexual self-image, body, discourse, and social images in postmodern society through a comparison with Foucault's arguments. This article also briefly mentions how these phenomena have spread through society and questions whether recent social movements really go beyond the style of the former one, which is based on sharing the same identity.