Describe Generalized principal components analysis, Advanced Statistics

Assignment Help:

Generalized principal components analysis: The non-linear version of the principal components analysis in which the goal is to determine the non-linear coordinate system which is most in agreement with the data configuration. For instance, for the bivariate data, y1,y2, if the quadratic coordinate system is sought, a variable z is defined as given below:

127_generalized principal component analysis.png 
with the coefficients being set up so that the variance of z is a maximum amongst all such quadratic functions of y1 and y2.

 


Related Discussions:- Describe Generalized principal components analysis

Business forcastin.., elements , importance, limitation, and theories

elements , importance, limitation, and theories

Advanced managerial statistics, The objective of this assignment is to test...

The objective of this assignment is to test your understanding in the learning outcome (LO2) and learning outcome (LO3) and learning outcome (LO4). 1) This is a grouped assignme

Regression diagnostics, Regression diagnostics is the process designed to...

Regression diagnostics is the process designed to investigate the suppositions underlying particular forms of regression examination, for instance, homogeneity of variance, norma

Forecast, The particular projection which an investigator believes is most ...

The particular projection which an investigator believes is most likely to give an accurate prediction of the future value of some process. Commonly used in the context of the anal

Hypothesis testing, Hypothesis testing is a  general term for procedure of...

Hypothesis testing is a  general term for procedure of assessing whether the sample data is consistent or otherwise with statements made about the population. It basically tells u

Differences-in-differences estimator, The estimator of the group by the tim...

The estimator of the group by the time period interaction in a study in which the subjects in two different groups are observed in two different time periods. Normally one of th

Describe item-total correlation, Item-total correlation is an  extensively...

Item-total correlation is an  extensively used method for checking the homogeneity of the scale made up of number of items. It is simply the Pearson's product moment correlation c

Factor rotation, Generally the final stage of an exploratory factor analysi...

Generally the final stage of an exploratory factor analysis in which factors derived initially are transformed to build their interpretation simpler. Generally the target of the pr

Uncertainty analysis, Uncertainty analysis is the process for assessing th...

Uncertainty analysis is the process for assessing the variability in the outcome variable that is due to the uncertainty in estimating the values of input parameters. A sensitivit

Factor scores, The values assigned to factors for the individual sample uni...

The values assigned to factors for the individual sample units in a factor analysis. The most common approach is "regression method". When the factors are seen as the random variab

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd