HjemGrupperSnakMereZeitgeist
Søg På Websted
På dette site bruger vi cookies til at levere vores ydelser, forbedre performance, til analyseformål, og (hvis brugeren ikke er logget ind) til reklamer. Ved at bruge LibraryThing anerkender du at have læst og forstået vores vilkår og betingelser inklusive vores politik for håndtering af brugeroplysninger. Din brug af dette site og dets ydelser er underlagt disse vilkår og betingelser.
Hide this

Resultater fra Google Bøger

Klik på en miniature for at gå til Google Books

Indlæser...

Regression Models for Categorical Dependent Variables Using Stata, Second…

af J. Scott Long

MedlemmerAnmeldelserPopularitetGennemsnitlig vurderingSamtaler
53Ingen379,845 (4.5)Ingen
Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book. The book begins with an excellent introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models. It covers in detail binary, ordinal, nominal, and count outcomes in separate chapters. The final chapter discusses how to fit and interpret models with special characteristics, such as ordinal and nominal independent variables, interaction, and nonlinear terms. One appendix discusses the syntax of the author-written commands, and a second gives details of the datasets used by the authors in the book. Nearly 50% longer than the previous edition, the book covers new topics for fitting and interpreting models included in Stata 9, such as multinomial probit models, the stereotype logistic model, and zero-truncated count models. Many of the interpretation techniques have been updated to include interval as well as point estimates. New to the Second Edition: Regression models, including the zero-truncated Poisson and the zero-truncated negative binomial models, the hurdle model for counts, the stereotype logistic regression model, the rank-ordered logit model, and the multinomial probit model Stata commands, such as estat, which provides a uniform way to access statistics useful for postestimation interpretation. Expanded suite of programs known as SPost Inclusion of confidence intervals for predictions computed by prvalue and prgen Because all the examples, datasets, and author-written commands are available from the authors' Web site, readers can easily replicate the concrete examples using Stata, making it ideal for students or applied researchers who want to know how to fit and interpret models for categorical data.… (mere)
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
Du bliver nødt til at logge ind for at redigere data i Almen Viden.
For mere hjælp se Almen Viden hjælpesiden.
Kanonisk titel
Originaltitel
Alternative titler
Oprindelig udgivelsesdato
Personer/Figurer
Vigtige steder
Vigtige begivenheder
Beslægtede film
Priser og hædersbevisninger
Indskrift
Tilegnelse
Første ord
Citater
Sidste ord
Oplysning om flertydighed
Forlagets redaktører
Bagsidecitater
Originalsprog
Canonical DDC/MDS

Henvisninger til dette værk andre steder.

Wikipedia på engelsk

Ingen

Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book. The book begins with an excellent introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models. It covers in detail binary, ordinal, nominal, and count outcomes in separate chapters. The final chapter discusses how to fit and interpret models with special characteristics, such as ordinal and nominal independent variables, interaction, and nonlinear terms. One appendix discusses the syntax of the author-written commands, and a second gives details of the datasets used by the authors in the book. Nearly 50% longer than the previous edition, the book covers new topics for fitting and interpreting models included in Stata 9, such as multinomial probit models, the stereotype logistic model, and zero-truncated count models. Many of the interpretation techniques have been updated to include interval as well as point estimates. New to the Second Edition: Regression models, including the zero-truncated Poisson and the zero-truncated negative binomial models, the hurdle model for counts, the stereotype logistic regression model, the rank-ordered logit model, and the multinomial probit model Stata commands, such as estat, which provides a uniform way to access statistics useful for postestimation interpretation. Expanded suite of programs known as SPost Inclusion of confidence intervals for predictions computed by prvalue and prgen Because all the examples, datasets, and author-written commands are available from the authors' Web site, readers can easily replicate the concrete examples using Stata, making it ideal for students or applied researchers who want to know how to fit and interpret models for categorical data.

No library descriptions found.

Beskrivelse af bogen
Haiku-resume

Quick Links

Populære omslag

Vurdering

Gennemsnit: (4.5)
0.5
1
1.5
2
2.5
3
3.5
4 1
4.5
5 1

Er det dig?

Bliv LibraryThing-forfatter.

 

Om | Kontakt | LibraryThing.com | Brugerbetingelser/Håndtering af brugeroplysninger | Hjælp/FAQs | Blog | Butik | APIs | TinyCat | Efterladte biblioteker | Tidlige Anmeldere | Almen Viden | 157,307,897 bøger! | Topbjælke: Altid synlig