1 |
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A side sensitive modified group runs control chart to detect shifts in the process mean
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Gadre, M.P.; Joshi, K.A.; Rattihalli, R.N.
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Executive Sciences Institute
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2012
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2 |
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A simulation-based evaluation of the asymptotic power formulas for Cox models in small sample cases
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Kocak, M.; Onar-Thomas, A.
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Executive Sciences Institute
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2013
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3 |
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A simulation model for improving the maintenance of high cost systems, with application to an offshore oil installation
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Conn, A.R.; Deleris, L.A.; Hosking, J.R.M.; Thorstensen, T.A.
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Executive Sciences Institute
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2012
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4 |
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A split-plot experiment with factor-dependent whole-plot sizes
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Schoen, E.; Jones, B.; Goos, P.
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Executive Sciences Institute
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2012
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5 |
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A study of Mexican free-tailed bat chirp syllables: Bayesian functional mixed models for nonstationary acoustic time series
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Martinez, J.G.; Morris, J.S.; Bohn, K.M.; Carroll, R.J.
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Executive Sciences Institute
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2014
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6 |
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A study of the relationship between PDSA cycle of green purchasing and the performance of the SCOR model
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Hwang, Y.-D.; Wen, Y.-F.; Chen, M.-C.
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Executive Sciences Institute
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2012
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7 |
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A synthetic double sampling control chart for the process Mean
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Khoo, M.B.C.; Lee, H.C.; Wu, Z.; Chen, C.-H.; Castagliola, P.
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Executive Sciences Institute
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2012
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8 |
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A systematic literature review of software quality cost research
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Karg, L.M.; Grottke, M.; Beckhaus, A.
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Executive Sciences Institute
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2013
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9 |
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Saddle point approximations to the mean and variance of the extended hypergeometric distribution
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Elsinga, R.; Peizer, B.
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Executive Sciences Institute
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2012
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10 |
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Saddlepoint test in measurement error models
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Ma, Y.; Ronchetti, E.
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Executive Sciences Institute
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2012
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11 |
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Sample size estimation for alternating logistic regressions analysis of multilevel randomized community trials of underage drinking
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Reboussin, B.A.; Song, E.-Y.; Wolfson, M.; Preisser, J.S.
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Executive Sciences Institute
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2013
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12 |
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Sample size for confidence interval of covariate-adjusted mean difference
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Liu, X.S.
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Executive Sciences Institute
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2012
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13 |
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Sampling design for two combined samples of the farm accountancy data network (FADN)
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Roesch, A.; Lips, M.
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Executive Sciences Institute
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2014
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14 |
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Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity
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Zhang, H.; Ghosh, K.; Ghosh, P.
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Executive Sciences Institute
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2013
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15 |
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Scheduling model for multi-stage flow lines with zero lead times
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Stadlter, H.; Sahling, F.
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Executive Sciences Institute
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2014
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16 |
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Screening for fuel economy: A case study of supersaturated designs in practice
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Scinto, P.R.; Wilkinson, R.G.; Lin, D.K.J.
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Executive Sciences Institute
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2012
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17 |
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Searching for a common pooling pattern among several Samples
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Alvarez-Esteban, P.C.; del Barrio, E.; Matran, C.; Cuesta-Albertos, J.A.
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Executive Sciences Institute
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2014
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18 |
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Security excellence from a total quality management approach
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Martin, C.; Bulkan, A.; Klempt, P.
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Executive Sciences Institute
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2012
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19 |
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Selection of one-stage sample size in Chen-Chen-Chang's R test and an evaluation of the performance of R
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Alunkaynak, B.; Gamgam, H.
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Executive Sciences Institute
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2013
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20 |
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Selection of the double sampling plan through quality regions
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Sangeetha, V.; Suresh, K.K.
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Executive Sciences Institute
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2013
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