Presenter Needed for Sept 24 Advanced Mastering - Using Blocking When Designing ExperimentsDon can't present Using Blocking When Designing Experiments as scheduled. Will you one of you take it on so I don't have to cancel? Here is the description:
JMP DOE tools incorporate methods to block designs to increase accuracy by controlling for sources of variability (blocking factors) that are not of primary interest to the outcome. Learn about blocking types, when and how to use them, and situations where they may be useful. See case studies creating several types of blocked designs.
The webcast covers: Blocking principles, fixed and random block effects, Screening Designs, Balanced Incomplete Block Designs (BIBD) and Response Surface Designs.
Here is his video and what he actually demo'd. The new presenter can handle the topic his/her/their way, though.
See how to:
Understand the restrictions associated with randomization, the difference between blocking and creating plots, and how to incorporate covariates into the design (1:26)- Blocks are about variance and let you group homogeneous factors to isolate extraneous noise associated with the factors (like time of day)
- Plots address variability and let you organize units so you can estimate the noise/signal associated with factors
- Incorporating covariates (uncontrolled factors related to the experiment and known before the experiment) lets you asses the impact of the related factors
Understand the factors related to the widget case study where manufacturers add hardening agent to slurry, stir it, control viscosity, mold it and then bake it (7:06)
Use Custom Designer to incorporate differences related to differences related to the day the experiment runs (8:55)- See how to group runs into blocks to estimate variability from day to day (Random Effect blocks)
- See how to add Blocking Factor to calculate mean differences from day to day (Fixed Effect blocks)
- Understand the impact of choosing Random vs. Fixed Effects on the number of runs needed for the design.
- Understand why to choose a Split-Plot design to get estimates of signal plus noise
Use Custom Designer to build Split-Plot design that includes statistics related to interactions between hard-to-change and all other factors (18:28)
Compare incorrect and correct designs (27:00)- Examine Fixed Effect Test results
Understand and compare Split-Split-Plot and two-way Split-Plot (Strip Plot) Designs (30:16)
Add information about a related factor (covariate) to the model (38:43)- Handle mis-match between number of covariate observations and number of runs needed
Re: Presenter Needed for Sept 24 Advanced Mastering - Using Blocking When Designing ExperimentsHi Gail, I reckon I can do this (if you can't find someone better!). Cheers, PhilRe: Presenter Needed for Sept 24 Advanced Mastering - Using Blocking When Designing ExperimentsHi Phil,
I hope I replied to this via email. Thanks for the offer but I really thought I would find someone in this time zone. Perhaps next time!
Re: Presenter Needed for Sept 24 Advanced Mastering - Using Blocking When Designing ExperimentsHi Phil,.
I hope I replied to this via email. Thanks for the offer but I really thought I would find someone in this time zone. Perhaps next time.
