| So many variables, so few observations |
510:Y |
QCAS / 59 / 5-6 / 465 |
| Follow the fundamentals: Four data analysis basics will help you do big data projects the right way |
510:Y |
QCAS / 59 / 5-6 / 469 |
| Inclusion probabilities in partially rank ordered set sampling |
511:Y |
QCAS / 59 / 5-6 / 473 |
| Equivalence of distance-based and RKHS-based statistics in hypothesis testing |
511:Y |
QCAS / 59 / 5-6 / 475 |
| Bayesian multimodel inference by RJMCMC: A Gibbs sampling approach |
512:Y |
QCAS / 59 / 5-6 / 479 |
| Semiparametric Bayesian estimation for marginal parametric potential outcome modeling: Application to causal inference |
512:Y |
QCAS / 59 / 5-6 / 481 |
| Bayesian inference on a mixture model with spatial dependence |
512:Y |
QCAS / 59 / 5-6 / 483 |
| Bayesian unit-root testing in stochastic volatility models with correlated errors |
512:Y |
QCAS / 59 / 5-6 / 485 |
| Bayesian inference with misspecified models |
512:Y |
QCAS / 59 / 5-6 / 487 |
| Selective inference on multiple families of hypotheses |
512:Y |
QCAS / 59 / 5-6 / 489 |
| Outlier robust small area estimation |
514:Y |
QCAS / 59 / 5-6 / 491 |
| Analysis of variance of integro-differential equations with application to population dynamics of cotton aphids |
515:Y |
QCAS / 59 / 5-6 / 495 |
| Robust parametric classification and variable selection by a minimum distance criterion |
519:Y |
QCAS / 59 / 5-6 / 499 |
| Quantifying causal influences |
519:Y |
QCAS / 59 / 5-6 / 503 |
| Dynamic Bayesian analysis for irregularly and incompletely
observed contingency tables |
520:Y |
QCAS / 59 / 5-6 / 507 |
| A framework for initial experimental design in the presence of competing prior knowledge |
520:Y |
QCAS / 59 / 5-6 / 509 |
| Guidelines for planning and evidence for assessing a well-designed experiment |
521:Y |
QCAS / 59 / 5-6 / 511 |
| A tutorial on the planning of experiments |
521:Y |
QCAS / 59 / 5-6 / 513 |
| Epistatic clustering: A model-based approach for identifying links between clusters |
530:Y |
QCAS / 59 / 5-6 / 517 |
| Adaptive Monte Carlo for Bayesian variable selection in regression models |
540:Y |
QCAS / 59 / 5-6 / 519 |
| Optimal designs for regression models with a constant coefficient of variation |
540:Y |
QCAS / 59 / 5-6 / 521 |
| Uniform inference in predictive regression models |
540:Y |
QCAS / 59 / 5-6 / 523 |
| Estimating the marginal law of a time series with applications
to heavy-tailed distributions |
544:Y |
QCAS / 59 / 5-6 / 525 |
| Recursive estimation of nonparametric regression with functional covariate |
549:Y |
QCAS / 59 / 5-6 / 527 |
| Logistic regression with multiple random effects: A simulation study of estimation methods and statistical packages |
549:Y |
QCAS / 59 / 5-6 / 529 |
| Confidence sets in sparse regression |
549:Y |
QCAS / 59 / 5-6 / 531 |
| Semiparametric inference for data with a continuous outcome from a two-phase probability-dependent sampling scheme |
551:Y |
QCAS / 59 / 5-6 / 535 |
| Nonparametric multiple testing procedures |
551:Y |
QCAS / 59 / 5-6 / 539 |
| Nonparametric estimation for survival data with censoring
indicators missing at random |
551:Y |
QCAS / 59 / 5-6 / 541 |
| Nonparametric (smoothed) likelihood and integral equations |
551:Y |
QCAS / 59 / 5-6 / 543 |
| Bayesian nonparametric inference for the power likelihood |
551:Y |
QCAS / 59 / 5-6 / 545 |
| Get there faster |
740:Y |
QCAS / 59 / 5-6 / 551 |
| Failure modes and effects analysis: An evaluation of group versus individual performance |
740:Y |
QCAS / 59 / 5-6 / 553 |
| Redundancy allocation using component-importance measures
for maximizing system reliability |
810:Y |
QCAS / 59 / 5-6 / 557 |
| Analyzing highly censored reliability data without exact failure times: An efficient tool for practitioners |
820:Y |
QCAS / 59 / 5-6 / 559 |
| A matrix representation of system structure with application
to computational reliability assessments |
820:Y |
QCAS / 59 / 5-6 / 561 |
| A bivariate replacement policy for a cold standby system under Poisson shocks |
820:Y |
QCAS / 59 / 5-6 / 563 |
| Effects of manufacturing defects on the device failure rate |
820:Y |
QCAS / 59 / 5-6 / 565 |
| Area under the ROC curve comparison in the presence of missing data |
820:Y |
QCAS / 59 / 5-6 / 567 |
| Condition-based maintenance via simulation and a targeted Bayesian networks meta-model |
840:Y |
QCAS / 59 / 5-6 / 569 |
| Control charts for simultaneous monitoring of unknown mean
and variance of normally distributed processes |
110:Y |
QCAS / 59 / 4 / 307 |
| Optimal sampling ratios in comparative diagnostic trials |
210:Y |
QCAS / 59 / 4 / 309 |
| Bayesian inference using Gibbs sampling in applications and curricula of decision analysis |
210:Y |
QCAS / 59 / 4 / 311 |
| Acceptance sampling plans for half-normal distribution under truncated life tests |
220:Y |
QCAS / 59 / 4 / 313 |
| Investigating non-ignorable dropout in panel studies of residential mobility |
230:Y |
QCAS / 59 / 4 / 315 |
| Finite–sample equivalence in statistical models for presence–only data |
290:Y |
QCAS / 59 / 4 / 317 |
| Measuring up: New research offers a view of the global quality environment |
311:Y |
QCAS / 59 / 4 / 323 |
| Social networks and the identification of peer effects |
313:Y |
QCAS / 59 / 4 / 327 |
| Feeling connected: 7 ways to enhance workplace relationships, motivation and productivity |
332:Y |
QCAS / 59 / 4 / 329 |
| The impact of contextual factors on the efficiency of ISO 9000 adoption |
342:Y |
QCAS / 59 / 4 / 331 |
| Consumer heterogeneity, product quality, and distribution channels |
350:Y |
QCAS / 59 / 4 / 333 |
| How do firm financial conditions affect product quality and pricing? |
440:Y |
QCAS / 59 / 4 / 341 |
| Model based confidence bands for survival functions |
511:Y |
QCAS / 59 / 4 / 343 |
| Accelerated test methods for reliability prediction |
511:Y |
QCAS / 59 / 4 / 345 |
| More pitfalls of accelerated tests |
511:Y |
QCAS / 59 / 4 / 349 |
| Robust tests in generalized linear models with missing responses |
513:Y |
QCAS / 59 / 4 / 353 |
| Estimating omissions from searches |
513:Y |
QCAS / 59 / 4 / 357 |
| On estimating the mean of the selected normal population in two-stage adaptive designsller Title: please update |
520:Y |
QCAS / 59 / 4 / 359 |
| Local quantile regression |
549:Y |
QCAS / 59 / 4 / 361 |
| Copula-based regression estimation and inference |
549:Y |
QCAS / 59 / 4 / 363 |
| A nonparametric R2 test for the presence of relevant variables |
551:Y |
QCAS / 59 / 4 / 367 |
| On nonparametric image registration |
551:Y |
QCAS / 59 / 4 / 371 |
| Paving the Way: Seven data collection strategies to enhance your quality analyses |
740:Y |
QCAS / 59 / 4 / 389 |
| Robust fitting of a Weibull model with optional censoring |
820:Y |
QCAS / 59 / 4 / 393 |
| Assessing classifiers in terms of the partial area under the ROC curve |
820:Y |
QCAS / 59 / 4 / 395 |
| Field-failure predictions based on failure-time data with dynamic covariate information |
820:Y |
QCAS / 59 / 4 / 397 |
| Robust CUSUM control charting |
110:Y |
QCAS / 59 / 3 / 185 |
| edcc: An R package for the economic design of the control chart |
110:Y |
QCAS / 59 / 3 / 187 |
| Control charts for monitoring the variance of a time series |
119:Y |
QCAS / 59 / 3 / 189 |
| Searching for a common pooling pattern among several
Samples |
210:Y |
QCAS / 59 / 3 / 193 |
| Handling attrition in longitudinal studies: The case for refreshment samples |
210:Y |
QCAS / 59 / 3 / 197 |
| Defining predictive probability functions for species sampling models |
210:Y |
QCAS / 59 / 3 / 201 |
| Optimal design of skip lot group acceptance sampling plans
for the Weibull distribution and the generalized exponential distribution |
220:Y |
QCAS / 59 / 3 / 205 |
| Deming-based lean Six Sigma management as an answer to escalating hospital costs |
314:Y |
QCAS / 59 / 3 / 209 |
| Time-relevant metrics in an era of continuous process improvement: The balanced scorecard revisited |
319:Y |
QCAS / 59 / 3 / 211 |
| The effect of environmental complexity and environmental dynamism on lean practices |
319:Y |
QCAS / 59 / 3 / 215 |
| Minimum cost allocation of quality improvement targets under supplier process disruption |
440:Y |
QCAS / 59 / 3 / 221 |
| The effect of aggregating data when monitoring a Poisson process |
510:Y |
QCAS / 59 / 3 / 223 |
| Simulation-based confidence intervals for functions with
complicated derivatives |
511:Y |
QCAS / 59 / 3 / 225 |
| A two-step multiple imputation for analysis of repeated measures with left-censored and missing data |
513:Y |
QCAS / 59 / 3 / 229 |
