advanced statistical quality improvement
ANOVA Table
ASN Curve
ASN Function
Bayesian classification
CA Plot
Category=PBT
Conditional Terms
Control Factor Settings
Data Set
decision analysis medicine
DFR Distribution
engineering applications
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
experimental design
Fitted Response Model
Fitted Response Values
IFR Distribution
Lindley's Estimates
Lindley’s Estimates
Mixed Exponential
Mixed Exponential Distribution
Multicriteria Optimization
multivariate analysis
Multivariate Pareto Distribution
Noise Factors
Noncentrality Parameter
Process Capability Indices
PRW
quality control
Quantile Function
Response Model Analysis
Robust Design Problems
Roc Curve
Shewhart Charts
signal estimation
statistical methods
statistical process control
survival modeling
Product details
- ISBN 9780367401207
- Weight: 616g
- Dimensions: 156 x 234mm
- Publication Date: 19 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function of statisticians in quality improvement. It discusses statistical process control, quality statistical tables, and quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.
Subir Ghosh, William R. Schucany, William B. Smith
