Efficient Bayesian sampling plans for exponential distributions with type-I-censored samples

The aim of this paper is to introduce an efficient Bayesian sampling procedure for exponential distribution with type-I censoring. An online inspection method is suggested to reach a Bayes decision prior the termination time of life test. Bayesian sampling plans (BSPs) with quadratic loss function are established to illustrate the use of the proposed method. Some BSPs are tabulated, and the performance of the proposed BSPs is compared with two existing competitive methods. Numerical results indicate that a significant reduction in the experimental time over the conventional BSP can be achieved when the online inspection method is applied.     

Keeping Surveys Valid,Reliable, and Useful: A Tutorial

This tutorial focuses on how to produce reliable and generalizable data from random‐digit‐dialing (RDD) landline and cell phone surveys. The article notes that RDD response rates have declined and explores the impact of this pronounced decline. The tutorial addresses order, response mode, and many other biases, sample size, cooperation and response rates, weighting, and hybrid designs‐all using examples from risk analysis to illustrate the key points. The article ends with a brief review of the advantages and disadvantages of major Internet and paper surveys tools, and how these can be molded and sometimes combined in repeated, longitudinal, and other designs to answer questions about risk preferences and perceptions.     

The umvue and bayes estimate of reliability of mixed failure time distribution

We study the reliability estimates of the non-standard mixture of degenerate (degenerated at zero) and exponential distributions. The Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes estimator of the reliability for some selective prior when the mixing proportion is known and unknown are derived. The Bayes risk is computed for each Bayes estimator of the reliability. A simulated study is carried out to assess the performance of the estimators alongwith the true and Maximum Likelihood Estimate (MLE) of the reliability. An example from Vannman (1991) is also discussed at the end of the paper.     

Hazard functions and life distributions in discrete time

The problem of studying lifelength distributions in discrete time is considered for certain forms of hazard functions. A class of life distributions that consists of the geometric, the Waring and the negative hypergeometric distributions is shown to result when the hazard function is inversely proportional to some linear function of time.     

Developing and Testing a Satisfaction Survey for Nursing Home Residents

Abstract

Input from consumers has become an important part of quality improvement in long-term care and for consumer decision-making. This paper documents the development of the Ohio Nursing Home Resident Satisfaction Survey (ONHRSS) through a partnership of state government, research, and industry experts. The instrument was tested and refined through two waves of data—a pretest phase and later with statewide data. Exploratory and confirmatory analyses with statewide data identified eight primary factors along with an underlying, secondary Global Satisfaction factor. Reliability of the domains ranged from .69 to .95. Recommendations for further refinement and testing of the instrument are discussed along with policy and practice implications.     

城市居民旅游环境影响与社会文化影响感知问卷量表的开发

城市居民旅游感知研究,对了解和掌握当地居民对旅游发展的态度与行为意义重大,是旅游地可持续发展的必然要求。作者针对国内城市居民旅游感知进行量表开发,先查阅了大量的国内外相关学术文献,接着进行了深入的文献研究,在此基础上设计了调查问卷初稿,问卷初稿包括居民旅游经济影响感知、旅游环境影响感知、旅游社会文化影响感知、旅游发展态度和满意的总体感知、居民参与旅游发展经营管理水平感知等五个维度,每个维度包括正面影响、负面影响两个构面。随后对初试问卷进行小样本调查,根据小样本调查的数据,使用统计分析软件SPSS16.0进行数据分析,对问卷量表进行信度和效度检验,对问卷测量题项进行净化,剔除相关度较低的测量项目,最终形成正式问卷。分析结果证明,量表具有很高的信度和效度。因篇幅所限,文章只对旅游环境影响感知、旅游社会文化影响感知二个维度的净化过程进行论述。     

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.     

未成年人犯罪案件社会调查制度冷思考

藉由基层司法机关之推动,大量运行于我国司法实践的未成年人犯罪案件社会调查制度面临诸多问题:合法性不足及其衍生的制度异化;调查过程走过场与调查结论不可靠;调查报告的肤浅粗放与调查结论的格式化;调查报告影响下的过分量刑迁就和盲目轻刑化.只有科学的制度设计才能彻底解决这些问题,社会调查制度才能回归其本义,也才可能在少年司法中发挥其应有的积极效用.     

Validity and reliability of proposed framework of manufacturing excellence in the Indian industry

This article presents the findings of the empirical study of proposed framework of manufacturing excellence (ME) in the Indian industry. The study includes companies from five major sectors, namely automobile, process, machines and equipment, electronics and components and textile. Responses from 90 companies were analysed to explore the validity and reliability of the proposed framework of ME in Indian industry. The developed questionnaire is outlined along with the results obtained from the analysis of the data from the Indian industry. The framework shows high level of reliability and validity.     

A New Goodness-of-Fit Test Based on the Laplace Statistic for a Large Class of NHPP Models

ABSTRACT

Nonhomogeneous Poisson processes (NHPP) provide many models for hardware and software reliability analysis. In order to get an appropriate NHPP model, goodness-of-Fit (GOF for short) tests have to be carried out. For the power-law processes, lots of GOF tests have been developed. For other NHPP models, only the Conditional Probability Integral Transformation (CPIT) test has been proposed. However, the CPIT test is less powerful and cannot be applied to some NHPP models. This article proposes a general GOF test based on the Laplace statistic for a large class of NHPP models with intensity functions of the form αλ(t, β). The simulation results show that this test is more powerful than CPIT test.