Calculate the test statistic using the formula 2.3206(q/c) Find the critical chi square value. You can use acritical chi square tableto do this. If the Bartlett test statistic from Step 6 is is greater than the critical value from Step 7, there is a significant difference in the variances...
Indeed Stata estimates multilevel logit models for binary, ordinal and multinomial outcomes (melogit, meologit, gllamm) but it does not calculate any Pseudo R2. It provides only the Akaike- (AIC) and Schwarz-Bayesian-Information Criteria (BIC) Stata provides a Wald test for the ...
For 612 companies, we are not able to calculate profitability (return on assets [ROA]) based on the data provided on the platform. To create the market share measure, we need to match the Compustat data with the TNIC database which reduces the sample by 2,638 companies, while for ...
1 Stata's sem, EQS or MPLUS calculate the Satorra-Bentler (1994) mean-adjusted / rescaled Likelihood-Ratio-chi2 test statistics (TSB) to correct the inflation of TML < TlinheeymuosdeetlhsetoTcSaBlvcaulluaetes of the actual and base- the Root-Mean-Squared- Error-of Approximation (...
how to calculate distances on google map in R R programming help to solve the problem How to Save Predicted (or manually generated) Values into the Original Data? Sensitivity analysis of an equation in R language I can't get any html output after kintting Error in Tukey HSD test...
The recommendation of the McNemar’s test for models that are expensive to train, which suits large deep learning models. How to transform prediction results from two classifiers into a contingency table and how the table is used to calculate the statistic in the McNemar’s test. How to calcul...
Given that the ADF regression is varying within the range [0,r2−r0] with a minimum window size requirement r0 equal to 0.01+1.8/T and a lag order set at k=0, the GSADF statistic, denoted by GSADFr0, can be given as follows in equation (2)(2)GSADFr0=sup⏟r2∈[r0,1]r1∈[0...
R-squared seems like an easy to understand statistic that indicates how well a regression model fits a data set. However, it doesn’t tell us the entire story. To get the full picture, you must consider R2values in combination with residual plots, other statistics, and in-depth knowledge ...
As far as I can tell, the usual postestimation -predict- commands and options don't work in this context. When doing this with a logistic regression model, I want to calculate the C statistic and somehow assess calibration through, perhaps, Brier score or H-L GoF test. Do you have any...
Thebootstrap percentile methodis a way to calculateconfidence intervalsfor bootstrapped samples. With thesimple method,a certain percentage (e.g. 5% or 10%) is trimmed from the lower and upper end of thesample statistic(e.g. the mean or standard deviation). Which number you trim depends on...