Klik på en miniature for at gå til Google Books
Indlæser... Regression Models for Categorical Dependent Variables Using Stata, Second Editionaf J. Scott Long
Ingen Indlæser...
Bliv medlem af LibraryThing for at finde ud af, om du vil kunne lide denne bog. Der er ingen diskussionstråde på Snak om denne bog. Ingen anmeldelser ingen anmeldelser | tilføj en anmeldelse
After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias.
"The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are more complex to interpret. Most software packages that fit these models do not provide options that make it simple to compute the quantities useful for interpretation. In this book, the authors briefly describe the statistical issues involved in interpretation, and then they show how you can use Stata to perform these computations."--Back cover. No library descriptions found. |
Current DiscussionsIngen
Google Books — Indlæser... GenrerMelvil Decimal System (DDC)300Social sciences Social Sciences; Sociology and anthropology Social sciencesLC-klassificeringVurderingGennemsnit:
Er det dig?Bliv LibraryThing-forfatter. |