Simon Fraser University

Input Variables and Regression with ARMA Errors

To use input series, list the input series in a CROSSCORR= option on the IDENTIFY statement and specify how they enter the model with an INPUT= option on the ESTIMATE statement. For example, you might ...
Nature

Regression to the mean, apparent data errors and biologically extraordinary results: letter regarding ‘changes in telomere length 3–5 years after gastric bypass surgery’

Given the extraordinary claim, we were eager to examine the supporting evidence and have noticed several issues that cause us to find the claim doubtful. In the low baseline TL subgroup (N=17), ...
JSTOR Daily

Nonparametric Estimation of Regression Function Using Linear Combinations of Sample Quantile Regression Functions

Consider the regression model Y = h(x)+ε, where h is an unknown smooth regression function and ε is a random error with unknown distribution. To estimate the ...
Hosted on MSN

Linear Regression Cost Function | Machine Learning | Explained Simply

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...