Likelihood ratio test for testing equality of location parameters of two exponential distributions from doubly censored samples

The Likelihood Ratio (LR) test for testing equality of two exponential distributions with common unknown scale parameter is obtained. Samples are assumed to be drawn under a type II doubly censored sampling scheme. Effects of left and right censoring on the power of the test are studied. Further, the performance of the LR test is compared with the Tiku(1981) test.     

Boltzmann machines that learn to recognize patterns on control charts

Boltzmann machines (BM), a type of neural networking algorithm, have been proven to be useful in pattern recognition. Patterns on quality control charts have long been recognized as providing useful information for correcting process performance problems. In computer-integrated manufacturing environments, where the control charts are monitored by computer algorithms, the potential for using pattern-recognition algorithms is considerable. The main purpose of this paper is to formulate a Boltzmann machine pattern recognizer (BMPR) and demonstrate its utility in control chart pattern recognition. It is not the intent of this paper to make comparisons between existing related algorithms. A factorial design of experiments was conducted to study the effects of numerous factors on the convergence behavior and performance of these BMPRs. These factors include the number of hidden nodes used in the network and the annealing schedule. Simulations indicate that the temperature level of the annealing schedule significantly affects the convergence behavior of the training process and that, to achieve a balanced performance of these BMPRs, a medium to high level of annealing temperatures is recommended. Numerical results for cyclical and stratification patterns illustrate that the classification capability of these BMPRs is quite powerful.     

A Hybrid Method for Random Pattern Sequence Classification

We present a hybrid method for random pattern sequence classification that takes into account the random structural properties of the sequence. The method works in two steps. A segmentation step, dividing the original sequence into segments, such that all observations in a same segment belong to a unique class, and a classification step, where each segment is classified by a neural network classifier.     

Planning Life Tests Based on Progressively Type-I Grouped Censored Data from the Weibull Distribution

In this article, we apply the simulated annealing algorithm to determine optimally spaced inspection times for the two-parameter Weibull distribution for any given progressive Type-I grouped censoring plan. We examine how the asymptotic relative efficiencies of the estimates are affected by the position of the monitoring points and the number of monitoring points used. A comparison of different inspection plans is made that will enable the user to select a plan for a specified quality goal. Using the same algorithm, we can also determine an optimal progressive Type-I grouped censoring plan when the inspection times and the expected proportions of total failures in the experiment are pre-fixed. Finally, we discuss the sample size and the acceptance constant of the progressively Type-I grouped censored reliability sampling plan when the optimal inspection times are used.     

Comparison of two methods in estimating standard error of the method of simulated moments estimators for generalized linear mixed models

ABSTRACT

The likelihood of a generalized linear mixed model (GLMM) often involves high-dimensional integrals, which in general cannot be computed explicitly. When direct computation is not available, method of simulated moments (MSM) is a fairly simple way to estimate the parameters of interest. In this research, we compared parametric bootstrap (PB) and nonparametric bootstrap methods (NPB) in estimating the standard errors of MSM estimators for GLMM. Simulation results show that when the group size is large, the PB and NPB perform similarly; when group size is medium, NPB performs better than PB in estimating standard errors of the mean.     

Residual analysis for unidimensional scaling in the L2-norm

ABSTRACT

We present a procedure (RAUS) for residual analysis of a dissimilarity matrix whereby unidimensional scaling is successively applied to the absolute value of residuals. A key advantage of RAUS is that the efficient Defays formulation of unidimensional scaling can be used for the fitting of each scale. An example using U.S. Supreme Court voting data is provided to illustrate the interpretation of successive scales. A simulation study was performed to evaluate RAUS.     

论张承志小说中的英雄美人模式

在张承志的许多小说中,都有一种由年轻男主人公和他身边的年轻女性构成的英雄美人模式。前期小说中,英雄期望在对外部世界的征服中成为主流英雄,美人是他英雄表演的欣赏者和崇拜者;后期小说中,英雄则陷入了英雄失路的绝望境地,美人是给他温暖、抚慰和救助的女神。张承志在小说中一再构建英雄美人模式,体现了他强烈的拟英雄认同感。     

The effects of teenage fertility on young adult childbearing

Numerous studies of fertility behavior find that an early age at first birth increases the rate of subsequent childbearing. Typically, however, these studies do not account for the possibility of serial correlation in the unobserved determinants of fertility. Using 1979–1992 individual-level data from the National Longitudinal Survey of Youth, this paper employs the Method of Simulated Moments to estimate panel probit models of annual birth outcomes. The panel probit models account for several alternative sources of serial correlation. Estimation reveals that once serial correlation is taken into account, the subsequent fertility effects of early childbearing are either statistically eliminated or reversed. JEL classification: J13 Received March 3, 1995 / Accepted February 23, 1996     

Journal of Organizational Behavior Management

No abstract available for this article.     

变动成本拟股简探

降本增效是油田生产经营管理的重点。本在阐述“变动成本拟股”的内涵与特征的基础上,提出了油田企业实施“变动成本拟股”机制的基本思路,并分析了试点单位的实施效果。