The case of the unpopular pay plan

Three years after launching the team-based Quality For All program, Top Chemical Company CEO Sam Verde was searching for a team-based compensation system that would reflect his company's new philosophy. With a committee gathered to discuss the issue, Verde confronts the fact that changing pay plans is an issue few people can agree on. "Very simply," explains vice president for compensation Gilbert Porterfield, "the plan is designed to give employees working on teams real incentives for constant improvement and overall excellence. The variable aspect of the system pays employees for the performance of their group." This doesn't sit well with the others. "It's going to punish teams like mine for the failings of others instead of rewarding us for the work we do and have already done," says packaging team representative Ruth Gibson. Another committee member feels that team-based anything is a "motivational happy land that doesn't square with how people really work." While Verde likes the proposed pay plan, he has doubts over whether his employees will accept the risk. Upper management has no problem basing 60% of its pay on TopChem's performance. But getting line employees to risk part of their salaries--even as little as 4%--on the ups and downs of the chemical industry may be more trouble than it's worth. Four experts on compensation reveal where Top Chemical went wrong in its plan and how Sam Verde might bring about change successfully.     

The savings potential of 24-hour coverage

In summary, there are costs to maintaining separate systems to cover both work- and non-work-related injuries and illnesses; there are also significant costs associated with achieving coordination--if not integration--of the two plans. Overall, the financial data do not indicate that the overlap between workers' compensation and health benefits is of such magnitude as to justify integration regardless of cost; however, the data do suggest that judicious exploitation of opportunities to coordinate the two programs, especially in regard to managing health care providers, may generate significant savings.     

Preliminary test estimators of the parameters of simple linear model with measurement error

In this paper, we discuss the properties of preliminary test estimators (PTE) of the parameters of simple linear model with measurement error (ME model) when the slope of the linear model is suspected to be zero. Expressions of the bias, MSE and efficiencies are obtained under conditional as well as unconditional situations with known reliability coefficient. Conditional model results are compared to the standard model without measurement error. We also provide the unconditional model analysis in finite samples. Asymptotic theory under local alternatives is developed when the variance of measurement error or the ratio of the variance of the model error relative to the variance of the measurement error is known. Asymptotic expressions of bias and MSE of the estimators along with their efficiencies are obtained. In every case, it is shown that the measurement error tend to increase the variability of the estimators compared to the estimators without measurement error. Graphs and tables are provided to see these results and to determine optimum level of significance for minimum guaranteed efficiency. Received October 2001 RID="*" ID="*"  A. K. Md. E. Saleh is a Distinguished Research Professor and H. M. Kim is a Ph.D. candidate in the School of Mathematics and Statistics, Carleton University, Ottawa. Acknowledgment. The authors gratefully acknowledge the constructive suggestion of the referees to improve the paper. The research is supported by NSERC grant A3088.     

On the variance of the ratio estimator

Summary In an earlier paper [Rao 1966] an exact expression for the variance of the ratio estimator under theMidzuno-Sen sampling scheme is obtained and here we study some of the interesting properties of the coefficients involved in this expression which depend on the auxiliary information. Use of these coefficients is made of in finding out an exact expression for the Bias and Mean Square Error of the ratio estimator under Simple Random Sampling With-Out Replacement (SRSWOR) scheme.     

Progressive stress accelerated life tests under finite mixture models

In this paper, progressive stress accelerated life tests are considered when the lifetime of a product under use condition follows a finite mixture of distributions. The experiment is performed when each of the components in the mixture follows a general class of distributions which includes, among others, the Weibull, compound Weibull, power function, Gompertz and compound Gompertz distributions. It is assumed that the scale parameter of each component satisfies the inverse power low, the progressive stress is directly proportional to time and the cumulative exposure model for the effect of changing stress holds. Based on type-I censoring, the maximum likelihood estimates (MLEs) of the parameters under consideration are obtained. A special attention is paid to a mixture of two Rayleigh components. Simulation results are carried out to study the precision of the MLEs and to obtain confidence intervals for the parameters involved.