Suchergebnisse - "Weese, Maria L"

A graphical comparison of screening designs using support recovery probabilities.

Autoren: Young, Kade Weese, Maria L. Stallrich, Jonathan W. et al.

Quelle: Journal of Quality Technology; 2024, Vol. 56 Issue 4, p355-368, 14p

Schlagwörter: REPRODUCIBLE research, REGULARIZATION parameter, PROBABILITY theory

Robustness of the one‐class Peeling method to the Gaussian Kernel Bandwidth.

Autoren: Lee, Lina Weese, Maria L. Martinez, Waldyn G. et al.

Quelle: Quality & Reliability Engineering International; Apr2022, Vol. 38 Issue 3, p1289-1301, 13p

Schlagwörter: BANDWIDTHS, VECTOR data, KERNEL functions, GAUSSIAN function, SERVER farms (Computer network management), OUTLIER detection

Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs.

Autoren: Weese, Maria L. Stallrich, Jonathan W. Smucker, Byran J. et al.

Quelle: Technometrics; Nov 2021, Vol. 63 Issue 4, p443-455, 13p

Schlagwörter: FALSE positive error, ERROR rates

Response surface models: To reduce or not to reduce?

Autoren: Smucker, Byran J. Edwards, David J. Weese, Maria L.

Quelle: Journal of Quality Technology; 2021, Vol. 53 Issue 2, p197-216, 20p

Schlagwörter: RESPONSE surfaces (Statistics), BAYESIAN analysis

A one‐class peeling method for multivariate outlier detection with applications in phase I SPC.

Autoren: Martinez, Waldyn G. Weese, Maria L. Jones-Farmer, L. Allison

Quelle: Quality & Reliability Engineering International; Jun2020, Vol. 36 Issue 4, p1272-1295, 24p, 7 Charts, 12 Graphs

Schlagwörter: STATISTICAL process control, OUTLIER detection, QUALITY control charts, STATISTICAL learning, SET functions, COVARIANCE matrices

Firma/Körperschaft: NATIONAL Football League

Reviews & Products: WIKIPEDIA

On the Selection of the Bandwidth Parameter for the k-Chart.

Autoren: Weese, Maria L. Martinez, Waldyn G. Jones ‐ Farmer, L. Allison

Quelle: Quality & Reliability Engineering International; Nov2017, Vol. 33 Issue 7, p1527-1547, 21p

Schlagwörter: DESCRIPTIVE statistics, GAUSSIAN distribution, PARAMETERS (Statistics), KERNEL (Mathematics), SIMULATION methods & models

A Criterion for Constructing Powerful Supersaturated Designs When Effect Directions Are Known.

Autoren: Weese, Maria L. Edwards, David J. Smucker, Byran J.

Quelle: Journal of Quality Technology; Jul2017, Vol. 49 Issue 3, p265-277, 13p, 3 Charts, 8 Graphs

Schlagwörter: OPTIMAL designs (Statistics), MATHEMATICAL variables, VECTORS (Calculus), LEAST squares, BAYESIAN analysis

Compositional Models and Organizational Research.

Autoren: Campbell, Joanna Tochman Weese, Maria L.

Quelle: Organizational Research Methods; Jan2017, Vol. 20 Issue 1, p95-120, 26p

Schlagwörter: CHIEF executive officers, ORGANIZATIONAL research, EXECUTIVE compensation, EMPLOYMENT

Searching for Powerful Supersaturated Designs.

Autoren: WEESE, MARIA L. SMUCKER, BYRAN J. EDWARDS, DAVID J.

Quelle: Journal of Quality Technology; Jan2015, Vol. 47 Issue 1, p66-84, 19p

Schlagwörter: STATISTICAL quality control, BAYESIAN analysis, ROBUST control, EXPERIMENTAL design, SIMULATION methods & models

Comparing methods for design follow-up: revisiting a metal-cutting case study.

Autoren: Edwards, David J. Weese, Maria L. Palmer, Gregory A.

Quelle: Applied Stochastic Models in Business & Industry; Jul2014, Vol. 30 Issue 4, p464-478, 15p

Schlagwörter: METAL cutting, ESTIMATION theory, FACTORIAL experiment designs, BAYESIAN analysis, FACTOR analysis