Quality control and applied statistics

• 

  Año 2013, Vol. 58, Número 1-2

  • Statistical process control

    • Weighted CUSUM control charts for monitoring Poisson processes with varying sample sizes

      Wei Jiang, Lianjie Shu, Kwok-Leung Tsui

      págs. 17-18

      

    • A non-parametric exponentially weighted a moving average signed-rank chart for monitoring location

      M.A. Graham, S.W. Human, S. Chakraborti

      págs. 19-20

      

    • Adaptive R charts with variable parameters

      Pei-His Lee

      págs. 21-22

      

    • Design and analysis of control charts for standard deviation with estimated parameters

      Marit Schoonhoven, Muhammad Riaz, Ronald J. M. M. Does

      págs. 23-24

      

    • Robust location estimators for the X control chart

      Marit Schoonhoven, Hafiz Z. Nazir, Muhammad Riaz, Ronald J. M. M. Does

      págs. 25-26

      

    • CUSUM control charts for monitoring optimal portfolio weights

      V. Golosnoy, Sergiy Ragulin, Wolfgang A. Schmid

      págs. 27-28

      

    • A generalized Cp criterion for derivative estimation

      Richard Charnigo, Benjamin Hall, Cidambi Srinivasan

      págs. 29-30

      

    • Deming, data and observational studies: A process out of control and needing fixing

      Stanley S. Young, Alan F. Karr

      págs. 31-32

      

    • A LASSO-based diagnostic framework for multivariate statistical process control

      Changliang Zou, Wei Jiang, Fugee Tsung

      págs. 33-36

      

    • Distance functions for matching in small samples

      E. Dettmann, C. Schmeiber, C. Becker

      págs. 37-40

      

    • Using statistical models for sample design of a reinterview program

      Jiangzhu Li, J. Michael Brick, Back Tran, Phyllis Singer

      págs. 41-44

      

    • Simple random sampling equivalent survey design for elimination of undesirable samples

      Ila Pant Bist, Raj Kishor Bist

      págs. 45-46

      

    • Bayesian analysis of the patterns of biologica l susceptibility via reversible jump MCMC sampling

      Rui-Yin Liu, Jian Tao, Nong-Zhong Shi, Xuming He

      págs. 47-48

      

    • Sharpening Wald-type inference in robust regression for small samples

      Manuel Koller, Werner A. Stahel

      págs. 49-50

      

    • The effect of cluster sampling on the covariance and correlation matrices of sample distribution functions

      Inho Park, John L. Eltinge

      págs. 51-52

      

    • A further assessment of momentary time-sampling across extended interval lengths

      Alicia M. Alvero, Matthew A. Taylor, Eva Rappaport

      págs. 53-54

      

    • A bootstrap test for symmetry based on ranked set samples

      Reza Drikvandi, Abdollah H. Jalilian, Reza Modarres

      págs. 55-56

      

    • How many were there when it mattered? Estimating the sizes of crowds

      Ray Watson, Paul S.F. Yip

      págs. 57-58

      

    • Selection of one-stage sample size in Chen-Chen-Chang's R test and an evaluation of the performance of R

      B. Alunkaynak, H. Gamgam

      págs. 59-60

      

  • Quality management

    • Growth: Measure your Six Sigma program's maturity and find areas to improve

      Diane J. Olson, John W. Sinn

      págs. 61-62

      

    • Natural selection: Six Sigma will die at organizations that don't adapt to change

      Satya S. Chakravorty

      págs. 63-64

      

    • Is Six Sigma dead? If it is, how can we revive it?

      J. Bruce Weeks

      págs. 65-66

      

    • Pushback prevention

      John R. Schlutz

      págs. 67-68

      

    • Site seeing: New audit approach helps assess risk throughout an organization

      Louis W. Yu, Steve Lum, Esther Urkin, Ron S. Kenett, Ron Ben-Jacob

      págs. 69-70

      

    • Supporting role: Can a refined ISO 9004 better complement ISO 9001?

      William A. Stimson

      págs. 69-70

      

    • Quality risk in offshore manufacturing: Evidence from pharmaceutical Industry

      John V. Gray, Michael J. Leiblein, Aleda V. Roth

      págs. 73-74

      

  • Experimentation and correlation

    • A partially linear regression model for data from an outcome-dependent sampling design

      Haibo Zhou, Jinhong You, Guoyou Qin, Matthew P. Longnecker

      págs. 75-76

      

    • Testing hypotheses in Birnbaum-Saunders distribution under type-censored samples

      Arthur J. Lemonte, Silvia L.P. Ferrari

      págs. 77-78

      

    • A pretest for using logrank or Wilcoxon in two-sample problem

      Annie Tordilla Darilay, Joshua D. Naranjo

      págs. 79-80

      

    • Optimal estimating functions in incomplete data and length biased sampling data problems

      Jing Qin, Biao Zhang

      págs. 81-82