Lecture 32- Discriminant Analysis

[@shefaliroy4639]

Sir ur video has really helped me to understand some basic concept which I wan not able to understand since the joining of my PHD.All of sudden I found ur video which is far better than other available video.Sir u do not need to improve anything because the way u explained the concept is much more important than any other talk in this forum.SIr seriously for concepts matters a lot when I am struggling to understand abcd of research itself.

[@thembinkosidube-sz]

Made simple. Thank you for the clear explanation.

[@Athiksh]

Really simple explanation that brings in lots of clarity. Hats off Sir.

[@rupaleesinghchauhan1745]

Discriminant Analysis- independent variable ( >1, continuous, categorical both) dependent variable ( 1 categorical) Logistic regression- independent variable ( >1, continuous, categorical both) dependent variable ( 1 categorical) But interpretation of both can be made differently 1 way ANOVA- ( 1 categorical independent variable), ( 1 continuous dependent variable) 2 way ANOVA- ( 2 categorical independent variable), ( 1 continuous dependent variable) MNOVA- ( >1 categorical independent variable), ( >1 continuous dependent variable)

[@lionelfonkwen5940]

Nice presentation, however in both logit and LDA the predictors can be quantitative as well as categorical But the independent variable most be categorical

[@harshanidilrukshiperera9752]

thanks from sri lanka.

[@ezquerzelaya]

best explanation possible. thank you very much

[@sissi8320]

Amazing! So clear

[@springANDstorm]

Thank you Prof Nayak.

[@dayanand7492]

It is help u if u explain with more examples

[@masayoriori2402]

hello sir, can you tell me what differents between anlysis discriminant with multi nominal logistic?

[@meenaz8]

Video is good but should be short

[@drvipinkumar1992]

hello sir, thanks for share this information. sir i want to know that how to measure impact of independent verriable on dependend verriable. which test i use for this. i m research schooler and my one of objective is an anaylisis of impact of consumer attributes on online shopping behavior of consumer. please guide me regarding this. thanks

[@nischalerra967]

regression analysis, look into R-square and adjusted R square values.

[@donalttrumph696]

Good morning sir

[@rohakhan3905]

bkwas lecturer koe method nh ata teaching ka apko

[@priyankasharma-ol9sy]

Too much time consuming