All Stories

  1. Why the mode departs from the mean—a short communication
  2. Process-time distribution for repetitive, semi-repetitive and non-repetitive processes.
  3. Estimating operating room utilisation rate for differently distributed surgery times
  4. SPC scheme to monitor surgery duration
  5. An explanatory bi-variate model for surgery-duration and its empirical validation
  6. Art, Disobedience, and Ethics
  7. Modeling fetal-growth biometry with Response Modeling Methodology (RMM) and comparison to current models
  8. SPC scheme to monitor linear predictors embedded in nonlinear profiles
  9. A General Model of Random Variation
  10. Customized Fetal Growth Modeling and Monitoring—A Statistical Process Control Approach
  11. Modeling and Monitoring Ecological Systems-A Statistical Process Control Approach
  12. Estimating Response Modeling Methodology models
  13. Response modeling methodology
  14. Modeling Temperature-Dependent Properties of Oxygen, Argon, and Nitrogen via Response Modeling Methodology (RMM) and Comparison with Acceptable Models
  15. Statistical Comparison of the Goodness of Fit Delivered by Five Families of Distributions Used in Distribution Fitting
  16. SOLUTION PROCEDURES WITH LIMITED SAMPLE DATA FOR THE OPTIMAL REPLACEMENT PROBLEM
  17. OPTIMUM SCHEDULE FOR PREVENTIVE MAINTENANCE: A GENERAL SOLUTION FOR A PARTIALLY SPECIFIED TIME-TO-FAILURE DISTRIBUTION
  18. Predicting Temperature-Dependent Properties by Correlations Based on Similarities of Molecular Structures: Application to Liquid Density
  19. Comparison of linear predictors obtained by data transformation, generalized linear models (GLM) and response modeling methodology (RMM)
  20. Distribution Fitting with Response Modeling Methodology (RMM) — Some Recent Results
  21. Comparison of Generalized Lambda Distribution (GLD) and Response Modeling Methodology (RMM) as General Platforms for Distribution Fitting
  22. A new procedure to identify linear and quadratic regression models based on signal-to-noise-ratio indicators
  23. Forecasting S-shaped diffusion processes via response modelling methodology
  24. Modeling Temperature-Dependent Properties of Water via Response Modeling Methodology (RMM) and Comparison with Acceptable Models
  25. Profit Maximizing Warranty Period with Sales Expressed by a Demand Function
  26. Control charts for the queue length in a G/G/S system
  27. Response modeling methodology (RMM)—maximum likelihood estimation procedures
  28. Accurate RMM-Based Approximations for the CDF of the Normal Distribution
  29. A general solution for the newsboy model with random order size and possibly a cutoff transaction size
  30. Determining measurement error requirements to satisfy statistical process control performance requirements
  31. Non-normal Populations in Quality Applications: a Revisited Perspective
  32. Response Modeling Methodology Validating Evidence from Engineering and the Sciences
  33. Letter to the Editor
  34. Optimal Warranty Period when Sale-Price Increases with the Lower Specification Limit
  35. Response modeling methodology (RMM)—a new approach to model a chemo-response for a monotone convex/concave relationship
  36. Product Robust Design and Process Robust Design: Are They the Same? (No.)
  37. RESPONSE MODELING METHODOLOGY (RMM)—EXPLORING THE PROPERTIES OF THE IMPLIED ERROR DISTRIBUTION
  38. Modeling a Response with Self-Generated and Externally Generated Sources of Variation
  39. Modeling Physical and Thermodynamic Properties via Inverse Normalizing Transformations
  40. Modelling a non-normal response for quality improvement
  41. General control charts for variables
  42. Process Control for Non-Normal Populations Based on an Inverse Normalizing Transformation
  43. General control charts for attributes
  44. THREE APPROACHES TO ANALYZE QUALITY DATA ORIGINATING IN NON-NORMAL POPULATIONS
  45. General control charts for variables
  46. Optimal solutions for stochastic inventory models when the lead-time demand distribution is partially specified
  47. A new approach to analysing non-normal quality data with application to process capability analysis
  48. Approximating an unknown distribution when distribution information is extremely limited
  49. A general formula for the failure-rate function when distribution information is partially specified
  50. PROCESS CAPABILITY ANALYSIS WHEN DATA ARE AUTOCORRELATED
  51. Enhancement for two commonly-used approximations for the inverse cumulative function of the normal distribution
  52. On Using the Generalized Λ-Type Distribution
  53. A new estimate of skewness with mean-squared error smaller than that of the sample skewness
  54. Setting safety lead-times for purchased components in assembly systems: a general solution procedure
  55. Fitting a distribution by the first two moments (partial and complete)
  56. Identifying a Two-Parameter Distribution by the First two Sample Moment (Partial and Complete)
  57. Letters to the Editor
  58. An Approximation for the Error of the Normal Approximation to a Linear Combination of Independently Distributed Random Variables
  59. Simple Approximations for the GI/G/c Queue-II: The Moments, the Inverse Distribution Function and the Loss Function of the Number in the System and of the Queue Delay
  60. Simple Approximations for the GI/G/c Queue—I: The Steady-State Probabilities
  61. Erratum: General Approximate Solutions for Some Common Inventory Models
  62. General Approximate Solutions for some Common Inventory Models
  63. An approximation for the inverse distribution function of a combination of random variables, with an application to operating theatres †
  64. Approximate Closed Form Expressions for the Decision Variables of Some Tests Related to the Binomial Distribution
  65. Simple General Approximations for a Random Variable and its Inverse Distribution Function Based on Linear Transformations of a Nonskewed Variate
  66. Summer Time and Electricity Conservation: The Israeli Case
  67. Genesis, Wellhausen and the Computer