Đang chuẩn bị liên kết để tải về tài liệu:
Engineering Statistics Handbook Episode 5 Part 9

Tham khảo tài liệu 'engineering statistics handbook episode 5 part 9', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 4.3.4. I ve heard some people refer to optimal designs shouldn t I use those Need 2 a Candidate Set of Points Optimal Designs are Computationally Intensive engineering conclusions will be flawed and invalid. Hence one price for obtaining an in-hand generated design is the designation of a model. All optimal designs need a model without a model the optimal design-generation methodology cannot be used and general design principles must be reverted to. The other price for using optimal design methodology is a user-specified set of candidate points. Optimal designs will not generate the best design points from some continuous region--that is too much to ask of the mathematics. Optimal designs will generate the best subset of ti. points from a larger superset of candidate points. The user must specify this candidate set of points. Most commonly the superset of candidate points is the full factorial design over a fine-enough grid of the factor space with which the analyst is comfortable. If the grid is too fine and the resulting superset overly large then the optimal design methodology may prove computationally challenging. The optimal design-generation methodology is computationally intensive. Some of the designs e.g. D-optimal are better than other designs such as A-optimal and G-optimal in regard to efficiency of the underlying search algorithm. Like most mathematical optimization techniques there is no iron-clad guarantee that the result from the optimal design methodology is in fact the true optimum. However the results are usually satisfactory from a practical point of view and are far superior than any ad hoc designs. For further details about optimal designs the analyst is referred to Montgomery 2001 . NIST SEMATECH HOME TOOLS AIDS SEARCH SACK NEXT http www.itl.nist.gov div898 handbook pmd section3 pmd34.htm 3 of 3 5 1 2006 10 22 05 AM 4.3.5. How can I tell if a particular experimental design is good for my application Graphically Check for Bivariate Balance If .