Monitoring paper production using a spectral control chart designed to detect in the presence of multiple cycles | 110:Y | 121 |

Unit and group-runs chart to identify increases in fraction nonconforming | 110:Y | 125 |

Using CUSUM control schemes for monitoring quality levels in compound Poisson production environment: The geometric Poisson process | 110:Y | 127 |

New corrections for old control charts | 110:Y | 129 |

Parameter estimation and design considerations in prospective applications of the X̄ chart | 111:Y | 131 |

Optimization of design parameters for X̄ control charts with multiple assignable cause | 111:Y | 137 |

X̄-charts versus X̄/MR chart combinations: IID cases and non-IID cases | 111:Y | 143 |

Evaluating and implementing 3-level control charts | 112:Y | 145 |

A neural network method for modelling the parameters of a CUSUM chart | 119:Y | 149 |

Supplier selection based on process capability and price analysis | 120:Y | 151 |

Effect of testing normality on estimating process capability indices | 120:Y | 153 |

Testing process capability based on *C*_{pm} in the presence of random measurement errors | 120:Y | 155 |

Quantitative techniques to evaluate process stability | 120:Y | 157 |

Use SPC for everyday work processes | 130:Y | 159 |

Inference for domains under imputation for missing survey data | 210:Y | 161 |

Confidence limits for estimates of totals from stratified samples, with application to Medicare Part B overpayment audits | 210:Y | 163 |

Improved ratio estimators in stratified sampling | 210:Y | 165 |

Sample-size-restrictive adaptive sampling: An application in estimating localized elements | 210:Y | 171 |

Sub-sampling the non-respondents in two-stage sampling over two successive occasions | 210:Y | 173 |

Repetitive group sampling procedure for variables inspection | 230:Y | 175 |

On the bias of the multiple-imputation variance estimator in survey sampling | 230:Y | 181 |

Estimation of sensitive quantitative characteristics in randomized response sampling | 290:Y | 187 |

On the accuracy of statistical procedures in Microsoft Excel 2003 | 510:Y | 191 |

Empirical likelihood tests for two-sample problems via nonparametric density estimation | 511:Y | 193 |

A method for determining equivalence in industrial settings: Defining and testing the equivalence of two methods or two laboratories | 511:Y | 199 |

Bayesian inference for the mean and standard deviation of a normal population when only the sample size, mean and range are observed | 512:Y | 201 |

Evaluating relationship of consistency ratio and number of alternatives on rank reversal in the AHP | 515:Y | 205 |

Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators | 519:Y | 207 |

Empirical likelihood for parametric model under imputation for missing data | 519:Y | 209 |

One- and two-sided tolerance intervals for general balanced mixed models and unbalanced one-way random models | 520:Y | 211 |

Designing field experiments which are subject to representation bias | 521:Y | 213 |

Tests for balanced incomplete block ranked data with ties | 522:Y | 217 |

Estimating the conditional variance of *Y*, given *X*, in a simple regression model | 541:Y | 219 |

Time series forecasting using flexible neural tree model | 544:Y | 221 |

Modeling and managing the percentage of satisfied customers in hidden and revealed waiting line systems | 670:S | 225 |

Nationwide branching and its impact on market structure, quality and bank performance | 670:Z | 227 |

An economic analysis for product and process design | 690:M | 229 |

On some reliability measures and their stochastic orderings for the Topp-Leone distribution | 820:Y | 231 |

Gas system failure rate | 820:Z | 233 |

Book Contents
| | 239 |