Quality control and applied statistics

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  Año 1991, Vol. 36, Número 2

  • Statistica process control

    • A perspective on Shainin's approach to experimental design for quality improvement

      N. Logothetis

      págs. 91-92

      

    • Precontrol vs. control charting: A critical comparison

      Neal A. Mackertich

      págs. 93-94

      

    • A simple method for computing the ARL of x-bar charts with zone tests

      Jain Chung, Terry Obert Pittman

      págs. 95-97

      

    • A nonparametric Bayes empirical Bayes procedure for estimating the percent nonconforming in accepted lots

      H. F. Martz, W. J. Zimmer

      págs. 99-102

      

  • Sampling principles and plans

    • On optimal nested group testing algorithms

      Y. C. Yao, F. K. Hwang

      págs. 103-104

      

    • A FORTRAN program to determine sample sizes and generate power curves for completely randomized and randomized complete block designs

      Thomas P. Turiel

      págs. 105-106

      

  • Quality management

    • Teamwork breeds quality at Hearing Technology, Inc

      H. Terrance Ross, Marion M. Ormsby

      págs. 107-108

      

    • Outline of a quality plan for industrial research and development projects

      Jay R. Rajasekera

      págs. 109-111

      

    • Keeping in step with the environment: Applying TQC to energy supply

      Robert H. Seemer

      págs. 113-114

      

  • Mathematical statistics and probability theory

    • lnterval estimation of the parameters B and n of the two parameter Weibull distribution

      D. M. Brkic

      págs. 115-117

      

  • Experimentation and correlation

    • Effects of censoring on the validity of confidence intervals

      Melinda H. Harder

      págs. 119-123

      

    • Simultaneous confidence bands for regression with unknown unequal variances

      S.R. Dalal

      págs. 125-128

      

    • Taguchi melhods: Linear graphs of high resolulion

      Veronica Czitrom

      págs. 129-130

      

    • Assessing case infIuence on confidence intervals in nonlinear regression

      Krzysztof Dzieciolowski, William H. Ross

      págs. 131-133

      

    • Solving nonlinear stochastic growth models: A comparison of alternalive soiution methods

      John B. Taylor, Harald Uhlig

      págs. 135-136

      

    • Designing a logistic regression study using surrogate measures for exposure and outcome

      Tor D. Tosteson, James H. Ware

      págs. 137-139

      

  • Applications

    • Stochastic models

      D. P. Heyman, M. J. Sobel

      págs. 141-144

      

  • Reliability

    • Risk analysis of the space shuttle: Pre-Challenger prediction of failure

      Siddhartha R. Dalal, Edward B. Fowlkes, Bruce Hoaddley

      págs. 145-147