Regression Coefficient Estimation in Dual Frame Surveys

Dual frame surveys, in which independent samples are selected from two frames to decrease survey costs or to improve coverage, can present challenges for regression coefficient estimation because of complex designs and unknown degree of overlap. In this research, we developed four regression coefficient estimators in dual frame surveys. Simulation results show that all the proposed methods work well.     

On similarity and independence properties of composite edf goodness-of-fit tests

Many test statistics for classical simple goodness-of-fit hypothesis testing problems are distancemeasures between the distribution function of the null hypothesis distributipn and the empirical distribution function sometimes called EDF tests. If a composite parametric null hypothesis is considered in place of the simple null hypothesis, then a test statistic can be obtained from each EDF test by replacing the known distribution function of the simple problem by the Rao-Blackwell estimating distribution function. In this note we use known results to show that these Rao-Blackwell-EDF test statistics have distributions that do not depend upon parameter values, and hence that these tests are independent of a complete sufficient statistic for the parameters.     

Completeness and optimality of marginal likelihood estimating equations

A counter-example shows that the proof of optimality of the marginal likelihood estimating function for parameter of interest, under the conditions assumed in Lloyd (1987), contains a gap and is, thus, invalid. The same comment applies to the generalized version of Lloyd’s Theorem given by Bhapkar and Srinivasan (1993). In the light of known results concerning Fisher information for parameter of interest and partial sufficiency of a suitable statistic, the counter-example reveals a similar gap in the proof of corollary 3.2 of Bhapkar (1991).     

On maximum likelihood estimation of the binomial parameter n

This paper gives a necessary and sufficient condition for the existence of a finite conditional maximum-likelihood estimate for the binomial parameter n. Upper bounds for the conditional and beta-binomial maximum-likelihood estimators are derived. An example is given to show that the conditional likelihood function and the beta-binomial likelihood function may not be unimodal.     

在线交易中认知需要对整合价与分离价感知的影响

整合定价和分离定价是目前在线交易中普遍使用的定价策略。以224个大学本科生被试,将实验情景控制为回忆驱动和刺激驱动两种信息感知模式,通过两个2×2情景实验,探讨在不同的信息感知模式下,面对整合定价和分离定价两种不同的价格表述框架时,认知需要不同的消费者对产品的价值感知和购买意向的差异。研究结果表明,在回忆驱动下,高认知需要的消费者在整合定价时比分离定价时对产品有更高的价值感知和购买意向,而低认知需要的消费者在两种定价策略下没有显著差异;在刺激驱动下,高认知需要的消费者在分离定价时比整合定价时对产品有更高的价值感知和购买意向,低认知需要消费者则正好相反。该结论对营销管理具有现实意义,营销者可根据广告媒介和目标顾客的不同来选择整合定价和分离定价。