加拿大与美国都市圈内政府治理差异分析

本文探讨地方公共机构尤其是地方行政机构如何改变其结构和手段,以应对新的地区化和都市化的挑战。通过分析35个美国和加拿大的城市群,评估政府机构在多大程度上采用了怎样的方法去规划、实施和监督都市化政策,并重点研究都市圈机构和都市圈的财税政策。     

Changing marital and family patterns: a test of the post-modern perspective

"Four central constructs of the post-modern perspective are extended and tested using secondary analysis of [U.S.] Census data and the NORC General Social Survey: 1972-94 data sets. The modified postmodern themes of: (1) the decline of a single universal family organizational standard, and (2) growing cultural diversity...were supported by examining changes in American family structure, attitudes toward such structural changes, and changing attitudes toward marital and family patterns over the last quarter century. However, little support was found for the greater use of, and reliance on, (3) the mass media. Mixed results were found on the fourth construct, greater variance in, and/or loss of, personal happiness or personal or family life satisfaction."     

New Results for Computing Blaker’s Exact Confidence Interval for One Parameter Discrete Distributions

The authors state new general results for computing Blaker’s exact confidence interval limits for usual one-parameter discrete distributions. Specific results for implementing an accurate and fast algorithm are made explicit for the binomial, negative binomial, Poisson and hypergeometric model.     

Regression model for surrogate data in high dimensional statistics

Abstract

This paper deals with the problem of estimating the regression of a surrogated scalar response variable given a functional random one. We construct an estimator of the regression operator by using, in addition to the available (true) response data, a surrogate data. We then establish some asymptotic properties of the constructed estimator in terms of the almost-complete and the quadratic mean convergences. Notice that the obtained results generalize a part of the results obtained in the finite dimensional framework. Finally, an illustration on the applicability of our results on both simulated data and a real dataset was realized. We have thus shown the superiority of our estimator on classical estimators when we are lacking complete data.