TY  - BOOK
AU  - Joglekar,Anand M.
TI  - Industrial statistics: practical methods and guidance for improved performance 
SN  - 0470497165
AV  - TS156.8 .J62 2010
U1  - 658.50727 22
PY  - 2010///]
CY  - Hoboken, N.J.
PB  - Wiley
KW  - Process control
KW  - Statistical methods
KW  - Quality control
KW  - Experimental design
N1  - Includes bibliographical references and index; 1; Basic statistics - how to reduce long term portfolio risk? --; 1.1; Capital market returns --; 1.2; Sample statistics --; 1.3; Population parameters --; 1.4; Confidence intervals and sample sizes --; 1.5; Correlation --; 1.6; Portfolio optimization --; 1.7; Questions to ask --; 2; Why not to do the usual t-test and what to replace it with? --; 2.1; What is a t-test and what is wrong with it? --; 2.2; Confidence interval is better than a t-test --; 2.3; How much data to collect? --; 2.4; Reducing sample size --; 2.5; Paired comparison --; 2.6; Comparing two standard deviations --; 2.7; Recommended design and analysis procedure --; 2.8; Questions to ask --; 3; Design of experiments - is it not going to cost too much and take too long? --; 3.1; Why design experiments? --; 3.2; Factorial designs --; 3.3; Success factors --; 3.4; Fractional factorial designs --; 3.5; Plackett-Burman designs --; 3.6; Applications --; 3.7; Optimization designs --; 3.8; Questions to ask --; 4; What is the key to designing robust products and processes? --; 4.1; The key to robustness --; 4.2; Robust design method --; 4.3; Signal to noise ratios --; 4.4; Achieving additivity --; 4.5; Implications for R&D --; 4.6; Questions to ask --; 5; Setting specifications - arbitrary or is there a method to it? --; 5.1; Understanding specifications --; 5.2; Empirical approach --; 5.3; Functional approach --; 5.4; Minimum life-cycle cost approach --; 5.5; Questions to ask --; 6; How to design acceptance sampling plans and process validation studies? --; 6.1; Attribute single sample plans --; 6.2; Selecting AQL and RQL --; 6.3; Other acceptance sampling plans --; 6.4; Designing validation studies --; 6.5; Questions to ask --; 7; Managing and improving processes - how to use an at-a-glance display? --; 7.1; Statistical logic of control limits --; 7.2; Selecting subgroup size --; 7.3; Selecting sampling interval --; 7.4; Out of control rules --; 7.5; Process capability and performance indices --; 7.6; At-a-glance display --; 7.7; Questions to ask --; 8; How to find causes of variation by just looking systematically? --; 8.1; Manufacturing application --; 8.2; Variance components analysis --; 8.3; Planning for quality improvement --; 8.4; Structured studies --; 8.5; Questions to ask --; 9; Is my measurement system acceptable - and how to design and improve it? --; 9.1; Acceptance criteria --; 9.2; Designing cost-effective sampling schemes --; 9.3; Designing a robust measurement system --; 9.4; Measurement system validation --; 9.5; Repeatability and Reproducibility (R&R) study --; 9.6; Questions to ask --; 10; How to use theory effectively? --; 10.1; Empirical models --; 10.2; Mechanistic models --; 10.3; Mechanistic model for coal weight CV --; 10.4; Questions to ask --; 11; Questions and Answers --; 11.1; Questions --; 11.2; Answers
ER  -