Пікірлер

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  @STATISTICSWORLD-bn8d2 ай бұрын

  Sir.?

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  @pirretv52163 ай бұрын

  Bra beskrivet Erik, uppskattar verkligen dina videos om försöksplanering, det har verkligen hjälpt mig att sammanfatta viktiga delar. Jag har dock försökt klura ut länge nu hur formeln för standard avvikelse används vid 5.10 och framåt i videon. Jag skriver exempelvis in Rotenur (( (20,4 - 21,25)^2) / 2-1)) Men får då istället svaret till 0,85, får även helt andra svar på de övriga delförsöken där denna formeln har nyttjats. Är svaret 0,85 eller är det jag som inte riktigt slår rätt i miniräknaren?

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  @adeniyijuwest82459 ай бұрын

  Good morning from here... Please, I need assistance getting the setup file for a full version of the Design Expert...

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  @lueurkim6241 Жыл бұрын

  Thanks for the informative video! But what if I have one point that exceeded the limit for DFFITS and DFBETAS?

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  @erikvanhatalo7 Жыл бұрын

  Ok, then the design run may be influencial in terms of the model or the individual coefficients. One should at least go over the experimental log book and double-check that everything went fine with the experiment. These plots are tools to uncover influential design runs. Best wishes, Erik

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  @lueurkim6241 Жыл бұрын

  @@erikvanhatalo7 Ok, thanks. I will double check. Just a bit unsure about these plots. Does it mean that in order for a design to be accepted, all runs must lie within the limit of these two plots?

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  @meiguzhimei Жыл бұрын

  Keep up the good work

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  @jacobsteenhuysen7526 Жыл бұрын

  Thanks for doing this.

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  @erikvanhatalo7 Жыл бұрын

  Glad you found it valuable. 👍

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  @AGoodBean Жыл бұрын

  Are the highest order interactions chosen to be confounded because they provide the least useful information?

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  @AGoodBean Жыл бұрын

  I've been thinking about it, and I think info from higher order effects is less likely to be statistically significant and more difficult to interpret. Is that the reason why they are selected?

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  @erikvanhatalo7 Жыл бұрын

  Yes, the fact that higher order interactions are less likely to accurr (a priori) makes them good candidates to "sacrifice" to blocks. Higher order interactions do occur but have been shown to occur much more seldom than main effects and low order interctions in real life. Best wishes! Erik

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  @AGoodBean Жыл бұрын

  @@erikvanhatalo7 thanks

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  @shafirabdo283 Жыл бұрын

  Tack Erik!

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  @kkwok9 Жыл бұрын

  Good stuff Thank you sir

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  @erikvanhatalo7 Жыл бұрын

  I am glad you liked it! :)

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  @paulkimani63592 жыл бұрын

  Thank you for this!!

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  @carrohills2 жыл бұрын

  Tack för videon! Mycket bra förklarat :)

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  @ajmalmuhammad88312 жыл бұрын

  What would be the value of K constant in response transformation?

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  @erikvanhatalo72 жыл бұрын

  The constant value k in the figures from the software is a constant that may be added to the ressponse value. For example, there may be instances if we have responses with value 0 (zero). Then the logarithm ln(0) is not defined and the conctant k can help in that problem.

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  @rahul81452 жыл бұрын

  It was extremely helpful sir :) Could you please help in analysis of combined array design in minitab or jmp

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  @erikvanhatalo72 жыл бұрын

  Hi! Thanks for the nice comment. I am not familiar enough with JMP or Minitab to know if they have some special functionality such as for the POE - propagation of error. But it should definitely be possible to do the analysis as a combined array approach and just keep track of which variables are "noise" variables and which are design variables. Sorry that I do not know the details. Best wishes, Erik

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  @pawelmucha72692 жыл бұрын

  I am working on tuning NSGA-3 parameters (oil & gas industry) to optimiza one black box and must say your channel is a vault of great resources Sir.

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  @erikvanhatalo72 жыл бұрын

  Thanks! I am glad you find some useful videos here! It's a rather dry topic, but I like it :)

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  @millssJ2 жыл бұрын

  This was very useful, thanks!

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  @erikvanhatalo72 жыл бұрын

  I am glad it was of some value! 👍

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  @Umar_P2 жыл бұрын

  Thank you so much Erik for wonderfull explanation

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  @dennisowusu82472 жыл бұрын

  the pressure variables supposed to alternate 40 40 80 80 per the coded variable x2

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  @punksnotdead47662 жыл бұрын

  Just spotted that too. Mistake in the book I think

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  @erikvanhatalo72 жыл бұрын

  Thanks Dennis, good of you to notice that! You are correct in that the pressure variable in the natural units does not match the coded pattern. This image is borrowed from the book companion slides so it is a typo in Montgomery's book. Nonetheless, the mistake was also mine in not noticing that. Best wishes, Erik

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  @hirahescartin7713 жыл бұрын

  Thank you Sir Eric, I learned it in a very simple way. Thank you again :)

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  @erikvanhatalo73 жыл бұрын

  Thanks! Glad it was of value! 👍

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  @kkwok93 жыл бұрын

  Your videos are excellent Sir.

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  @rajesshmech3 жыл бұрын

  Very useful. Thanks a lot, sir.

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  @erikvanhatalo73 жыл бұрын

  Glad it was of value! 🙂

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  @rajesshmech3 жыл бұрын

  @@erikvanhatalo7 Dear sir, Very useful content for preparing a thesis.

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  @paolo72063 жыл бұрын

  Nice video

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  @erikvanhatalo73 жыл бұрын

  Thanks, cheers!

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  @asmaaabdulhamid22923 жыл бұрын

  It was helpful, thanks

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  @zachholt71033 жыл бұрын

  Thank you for the mountain analogy. You explained this very well

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  @erikvanhatalo73 жыл бұрын

  Thanks! Glad it was useful! :)

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  @punksnotdead47663 жыл бұрын

  Nice video Erik

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  @Edin12n3 жыл бұрын

  Hi Erik, Is there a way I can contact you e.g. by email? Thanks

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  @erikvanhatalo73 жыл бұрын

  Contact info: www.ltu.se/staff/e/erivan-1.81005?l=en

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  @punksnotdead47663 жыл бұрын

  Thanks Erik

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  @punksnotdead47663 жыл бұрын

  Great video Erik. How do you get the generators and the alias pattern for the full fold over?

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  @erikvanhatalo73 жыл бұрын

  Thanks! Do you mean the 2(7-4) design? after full fold over? Trying to remember from last year. I do not think it may be explained easily in this comment. But alias patters can be calculated from the complete design, by hand. In this case I think I took it from the Design Expert software.

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  @punksnotdead47663 жыл бұрын

  @@erikvanhatalo7 Thanks for your reply Erik. I managed to figure out how to get the alias pattern for res III + full fold over. I’d like to ask two questions if I may 1. If you add a full fold over to a 2(3-1)III you get a 2^3 full factorial and you can analyse this using method of contrasts, Yates method or matrix methods. However, if we take the first 8 run res III (the 2(5-2)III) then add a fold over you don’t get a full factorial. What would you call this design? Does it even have a name? I can see how to calculate effects using the method of contrasts or matrix methods but I don’t think Yates method will work here. For 2 level full and fractional factorial designs Yates can be used to calculate effects but not for other designs (such as fractional factorial with full fold over added). Does what I’ve said make sense? Sorry for such a long rambling message.

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  @jiteenrathod57254 жыл бұрын

  i need pdf of this if u can .....

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  @erikvanhatalo74 жыл бұрын

  Hi! I will not provide pdf material of my teaching slides publically unfortunately. If you need to go in depth in this area I would recommend a textbook such as Montgomery's Design and analysis of experiments.

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  @jiteenrathod57254 жыл бұрын

  Kk sir

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  @jiteenrathod57254 жыл бұрын

  hello sir im doing project on this rsm method so i need ur help to understand all the basic concept of this process so i can give best presentation to the external

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  @labhchanddhakar63934 жыл бұрын

  Please tell me about predicted equation in anova section ....where equation is written as A[2],B[2],.....and so on what is the meaning of 2

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  @erikvanhatalo74 жыл бұрын

  Hi! Since the factors are categorical these dummy variables A[1], A[2], etc are used to indicate effects for certain settings and combinations of the categorical factors. This is why it looks a bit strange.

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  @karnam74444 жыл бұрын

  Hello Sir, great video, thanks for this! A quick question. How would you regress the higher order term such as A^2, B^2 which are quite common in any response surface design? I researched a lot about this, but couldn't find eneough help.

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  @erikvanhatalo74 жыл бұрын

  Thanks! Glad you liked it. Now in order for you to fit second order terms, such as A^2, without confounding you typically need a second order design. You may want to chck out central composite designs or Box-Behnken designs. These are examples of common designs in response surface methodology. Cheers!

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  @punksnotdead47664 жыл бұрын

  Great video. I wish there was a video that explained rotatability

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  @erikvanhatalo74 жыл бұрын

  Thanks! Glad you liked it. I never made a video just on rotatability alone. May come in the future. For the CCD you can make the design rotatable throuh the aloha value. Rotatable designs have equal prediction variance at all positions that have equal distance from the design center. Many times reasonable choice.

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  @punksnotdead47664 жыл бұрын

  Thanks for your reply Erik. It’s the whole idea of why you’d pick a certain value and why a particular value of alpha gives equal prediction variance that I don’t understand. I don’t even understand what equal prediction variance means in the context of a certain response surface eg parabola, stationary ridge, rising ridge or saddle (col or minimax). Going to hit the books on this subject over Xmas