y_estchoice.hlp

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

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{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_est0:Regression models}
{bind:> {bf:Choice models}}
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{title:Help file listings}

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{bf:{help mlogit:Multinomial (polytomous) logistic regression}}{break}
    maximum-likelihood multinomial (polytomous) logistic regression

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{bf:{help mprobit:Multinomial probit regression}}{break}
    maximum-likelihood multinomial probit regression

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{bf:{help asmprobit:Alternative-specific multinomial probit regression}}{break}
    maximum simulated-likelihood alternative-specific multinomial
    probit models

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{bf:{help clogit:Conditional logistic regression}}{break}
    McFadden choice model and extensions

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{bf:{help nlogit:Nested logit estimation}}{break}
    nested logit model using full maximum-likelihood

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{bf:{help ologit:Ordered logit estimation}}{break}
    maximum-likelihood ordered logit model

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{bf:{help rologit:Rank-ordered logistic regression}}{break}
    rank-ordered logit model for rankings (also known as the
    Plackett-Luce, exploded logit, or choice-based conjoint analysis model)

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{bf:{help slogit:Stereotype logistic regression}}{break}
    maximum-likelihood stereotype regression models

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{bf:{help oprobit:Ordered probit estimation}}{break}
    maximum-likelihood ordered probit model

{p 4 8 4}
{bf:{help probit:Probit estimation}}{break}
    maximum-likelihood probit estimation

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{bf:{help hetprob:Heteroskedastic probit estimation}}{break}
    maximum-likelihood heteroskedastic probit model

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{bf:{help logit:Logit estimation}}{break}
    maximum-likelihood logit tailored for social scientists

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{bf:{help glogit:Logit and probit estimation on grouped data}}{break}
    also weighted least-squares logit and probit

INCLUDE help ypostnote
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