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Design And Analysis Of Experiments - IITKGP
Добавлен 8 ноя 2017
Видео
Lecture 47 : Fractional factorial design: One quarter fraction of the 2k design
Просмотров 4,1 тыс.6 лет назад
Lecture 47 : Fractional factorial design: One quarter fraction of the 2k design
Lecture 46 : Fractional factorial design: Contd.
Просмотров 3,4 тыс.6 лет назад
Lecture 46 : Fractional factorial design: Contd.
Lecture 45 : Fractional factorial design: Introduction
Просмотров 4,9 тыс.6 лет назад
Lecture 45 : Fractional factorial design: Introduction
Lecture 41: 2_k_ Factorial Design - Issues with Coded Design Variables "
Просмотров 2,3 тыс.6 лет назад
Lecture 41: 2_k_ Factorial Design - Issues with Coded Design Variables "
Lecture 42: Blocking and Confounding in 2_k_Factorial Design
Просмотров 22 тыс.6 лет назад
Lecture 42: Blocking and Confounding in 2_k_Factorial Design
Lecture 43: Blocking and Confounding in 2_k_Factorial Design (Contd.)
Просмотров 5 тыс.6 лет назад
Lecture 43: Blocking and Confounding in 2_k_Factorial Design (Contd.)
Lecture 44: Blocking and Confounding in 2_k_Factorial Design (Contd.)
Просмотров 3,4 тыс.6 лет назад
Lecture 44: Blocking and Confounding in 2_k_Factorial Design (Contd.)
Lecture 36 : Two_level_Factorial_Experiment
Просмотров 4,7 тыс.6 лет назад
Lecture 36 : Two_level_Factorial_Experiment
Lecture 38 : 2_k_Factorial_Design_Single_Replicate
Просмотров 4,3 тыс.6 лет назад
Lecture 38 : 2_k_Factorial_Design_Single_Replicate
Lecture 39 : 2_k_Factorial_Design_Centre_Points
Просмотров 2,3 тыс.6 лет назад
Lecture 39 : 2_k_Factorial_Design_Centre_Points
Lecture 37 : Statistical analysis of 2^k factorial design
Просмотров 15 тыс.6 лет назад
Lecture 37 : Statistical analysis of 2^k factorial design
Lecture 40 : 2_k_Factorial_Design_Optimality_Issues
Просмотров 1,7 тыс.6 лет назад
Lecture 40 : 2_k_Factorial_Design_Optimality_Issues
Lecture 32 : Estimation of parameters and model adequacy test for factorial experiement
Просмотров 3,2 тыс.6 лет назад
Lecture 32 : Estimation of parameters and model adequacy test for factorial experiement
Lecture 35 : Blocking_Factorial_design
Просмотров 2,4 тыс.6 лет назад
Lecture 35 : Blocking_Factorial_design
Lecture 34 : General_Full_factorial_design
Просмотров 2,4 тыс.6 лет назад
Lecture 34 : General_Full_factorial_design
Lecture 30: Introduction to Factorial Experiments
Просмотров 13 тыс.6 лет назад
Lecture 30: Introduction to Factorial Experiments
Lecture 33 : Full_Factorial_Single_Replicate
Просмотров 2,6 тыс.6 лет назад
Lecture 33 : Full_Factorial_Single_Replicate
Great lecture
Very helpful lecture.
❤
Very thankful for these lectures.
Important lecture, thanks
Today I'm starting this course, hoping to end this by 10th June, 2024.
3:01 eg 6:40
RSM 101 27:35 path of steepest ascent how 28:25 30:09 how far to go ~ step size 35:15 eg
11:40 eg soln 16:48 18:33 ? 20:20
eg notation 11:58 22:35 properties
Very deep and meaningful Lectures sir. Thankx.
Great concepts
Sir, What is the difference between confounding and fractional factorial design?
thank you sir
How to calculate effect of a in 29min please explain
Thank you Sir for this wonderful course.
(0:20 factorial experiments) Expt with several factors, each having >1 levels
10:16 process model response 14:45 19:00 objectives (mathematically) process characterisation 21:08 process control 22:36 process optimisation 23:40 robust design 24:15 25:45 eg.1
Bahot bekar lecture muje sharm aati hai ye kahate huae ki IIT me sub bekar padate hai chiii
Thanks Sir well explained to me ...I'm highly appriciate your effort
Thank you Sir. This helps a lot.
Thankyou professor! That was a great explanation
This lecture is based on Douglas Montgomery's textbook. I am taking Dr. Montgomery's In-person class right now and also watching this lecture at the same time 😂
Name of the textbook??? applied statistics?
Excellent. Thank you so much.
Sir can get notes of it in pdf format?
Interesting...buh
optimum
Sr i wanna know about partioning of total s. S. In random effect model for RCBD 2*2 fectorial ecperiment Can you help me sr.
Very well explained. Extremely helpful. Thankyou very much for providing this content to all!
many many thanks, genius...
Thank you very much, sir
Thank u very much sir
are you great
Thank you sir
Great explanation sir tq
I will be speak to Urdu
Camera!
I am not able to understand this course this time but this video helps me a lot. Thank you :)
thanx so much, please attached your ppt or pdf of this lecture please
Disliker do not have statistical foundation that's why he disliked ...These professors are gems of our country ....
thats great. thanks so much professor.
sir, please give your whatsapp number or mail id?
Hi, very interesting and helpful. I am working in a project which looks like BIBD but is unsymmetric and the dimension of the table is massive. I have a=288 and b=18. Can I still follow the same steps to get the SST adjusted?
Tănase sir
Sir where can i get pdf of this lecture
What's the difference between process control and process optimization?
It is as simple as it sounds control vs optimization as it relates to processes. Ie a system can be in control and very reliable but not optimized in regards to yield or something
dsv dsv thanks man
It is a very good course. It would be better if instead of spending so much time on computations, coding in R (which is a free software ) was given. As no one is likely to do these computations by hand.
I'm working on a project to to code all different type of Design of Experiments problems in R. Hope it might help you.
What is the difference between DOE and Regression analysis?
In DOE you try to control (experiment with) as much variables as possible so that you achieve the desired outcome, in regression analysis you try to predict something based on the variables you are given over time
@@AluisZ90 thank you
It helps to watch at 1.25x speed, with subtitles on.
Yeah thanks. It's working.
yeah... It helps quite a lot!
1.5 isnt too bad either
It appears that he is reading something , the most boring NPTEL lecture ever !!