| 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 Cpm 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 |
