Combined estimate of a location parameter

In this paper, we revisit the problem of combining estimates of location considered by Cohen (1976). Our results unify and strengthen the results of Cohen (1976), Bhattacharya (1981) and Akai (1982).     

A class of high-breakdown scale estimators based on subranges

We consider a new class of scale estimators with 50% breakdown point. The estimators are defined as order statistics of certain subranges. They all have a finite-sample breakdown point of [n/2]/n, which is the best possible value. (Here, [...] denotes the integer part.) One estimator in this class has the same influence function as the median absolute deviation and the least median of squares (LMS) scale estimator (i.e., the length of the shortest half), but its finite-sample efficiency is higher. If we consider the standard deviation of a subsample instead of its range, we obtain a different class of 50% breakdown estimators. This class contains the least trimmed squares (LTS) scale estimator. Simulation shows that the LTS scale estimator is nearly unbiased, so it does not need a small-sample correction factor. Surprisingly, the efficiency of the LTS scale estimator is less than that of the LMS scale estimator.     

Using power transformations when approximating quantiles

Estimators are obtained tor quantiles of survival distributions. This is accomplished by approximating Lritr distribution of the transtorrneri data, where the transformation used is that of Box and Cox (1964). The normal approximation as in Box and Cox and, in addition, the extreme value approximation are considered. More generally, to use the methods given, the approximating distribution must come from a location-scale family. For some commonly used survival random variables T the performance of the above approximations are evaluated in terms of the ratio of the true quantiles of T to the estimated one, in the long run. This performance is also evaluated for lower quantiles using simulated lognormai, Weibull and gamma data. Several examples are given to illustrate the methodology herein, including one with actual data.     

Estimation of the location and scale parameters of the extreme value distmbution based on multiply type-II censored samples

In this paper, we consider the problem of estimating the location and scale parameters of an extreme value distribution based on multiply Type-II censored samples. We first describe the best linear unbiased estimators and the maximum likelihood estimators of these parameters. After observing that the best linear unbiased estimators need the construction of some tables for its coefficients and that the maximum likelihood estimators do not exist in an explicit algebraic form and hence need to be found by numerical methods, we develop approximate maximum likelihood estimators by appropriately approximating the likelihood equations. In addition to being simple explicit estimators, these estimators turn out to be nearly as efficient as the best linear unbiased estimators and the maximum likelihood estimators. Next, we derive the asymptotic variances and covariance of these estimators in terms of the first two single moments and the product moments of order statistics from the standard extreme value distribution. Finally, we present an example in order to illustrate all the methods of estimation of parameters discussed in this paper.     

Estimation of firm-specific technological bias,technical change and total factor productivity growth: a dual approach

This paper deals with modeling firm-specific technical change (TC), and technological biases (inputs and scale) in estimating total factor productivity (TFP) growth. Several dual parametric econometric models are used for this purpose. We examine robustness of TFP growth and TC among competing models. These models include the traditional time trend (TT) model and the general index (GI) model. The TT and the GI models are generalized to accommodate firm-specific TC and technological bias (in inputs and output). Both nested and non-nested tests are used to select the appropriate models. Firm-level panel data from the Japanese chemical industry during 1968- 1987 is used as an application.     

‘You Are Germany’– ‘I Am Australian’: The construction of national unity through diversity in select examples from Australia and Germany

This article explores the construction of national unity through diversity by analysing two case studies from Germany and Australia: the television campaign ‘You Are Germany’ and the song ‘I Am Australian’. It places both examples in a broader context of forging national unity through diversity and argues that diversity has occasionally been hijacked as a nationalist argument to advance national identity and unity. This study explores the different aspects of diversity appearing in both cases under study, identifies those parts of diversity being excluded and asks how national unity is being forged through recourse to diversity.     

Proportional reversed hazard rate model and its applications

The purpose of this paper is to study the structure and properties of the proportional reversed hazard rate model (PRHRM) in contrast to the celebrated proportional hazard model (PHM). The monotonicity of the hazard rate and the reversed hazard rate of the model is investigated. Some criteria of aging are presented and the inheritance of the aging notions (of the base distribution) by the PRHRM is studied. Characterizations of the model involving Fisher information are presented and the statistical inference of the parameters is discussed. Finally, it is shown that several members of the proportional reversed hazard rate class have been found to be useful and flexible in real data analysis.     

苏州市人口老龄化分析

基于对苏州市第四次人口普查人口年龄结构的分析,本文认为苏州市已进入人口老年型早期。文中论述了该市人口老龄化的现状、过程及趋势,剖析了过去与未来主导这一进程的不同的人口学因素,特别强调了控制人口增长对这一进程的作用。文中预测现在和今后的二十年内人口老龄化发展较缓,总抚养比较低,正届人口构成上的“黄金时期”,面临着实现经济跃升的契机。其后,人口老龄化将以空前的速度进行。抓住当前的契机也是今后从根本意义上解决好老龄人口问题所必需的。     

文化逻辑·商业逻辑：博弈格局中的电视学术论坛

以《百家讲坛》、《世纪大讲堂》为代表电视论坛成为当下媒介最为引人注目的现象之一。其兴盛得益于电视传播语态的改变,但在商业逻辑大行其道的媒介生态中以及在与收视率的抗衡中,思想与知识的传播受到诸多阻碍,故其生存和发展仍存在巨大变数。     

企业创新与规模经济的理论分析

从成本理论出发,研究企业创新与规模经济关系,经过理论分析得出：企业的最佳规模随着企业创新将不断扩大,科技创新是企业创新的核心,管理创新和市场创新是企业创新的重要组成部分;同时,企业的规模经济对企业创新也具有推动作用。