英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：


请选择你想看的字典辞典：
单词字典翻译
264745查看　264745　在百度字典中的解释百度英翻中〔查看〕
264745查看　264745　在Google字典中的解释Google英翻中〔查看〕
264745查看　264745　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • 1 Multivariate, Multinomial, Ordered, Se- quential Discrete Probability . . .
    so you need to consider whether a multivariate logit is suitable In Stata, there is an "mprobit" command that does multivariate probit assuming independent outcomes, but there isn’t much point in using this a logit and probits give similar results, but there is also an \asm-probit," that allows for correlation between outcomes and uses indirect
  • Multivariate probit model - Wikipedia
    In statistics and econometrics, the multivariate probit model is a generalization of the probit model used to estimate several correlated binary outcomes jointly
  • Logit, Probit, and Multinomial Logit models in R - Princeton University
    If outcome or dependent variable is categorical without any particular order, then use multinomial logit Some examples are: If elections were held today, for which party would you vote? ‘Republicans’ What do you like to do on the weekends?
  • The Ordered and Multinomial Models - UC3M
    The two standard models are the ordered probit and the ordered logit The approach is equivalent: we simply use for the ordered probit the normal CDF and for the ordered logit the logistic CDf OLS does not work because the dependent variable does not have cardinal meaning: credit worthiness: 0 ;1 ;2 ;3 ;4 ;5: the change from 0 to 1 does
  • Ordered Choice Models: Ordinal Logit and Ordinal Probit
    In order to use these models, the assumption of parallel slopes must be met If this assumption is not met, the generalized ones of the ordinal logit and ordinal probit models, which are more flexible in terms of assumptions, or the multinomial logit model can be used
  • MNP: R Package for Fitting Multinomial Probit Model - Harvard University
    This paper illustrates how to use MNP, a publicly available R (R Development Core Team, 2012) package, in order to t the Bayesian multinomial probit model via Markov chain Monte Carlo The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data
  • Prediction of Patient-Reported Outcome Measures Via Multivariate . . .
    To compare the multivariate ordered probit model with the independent ordered probit model, it is useful to assess the effect of capturing dependence between each dimension of EQ-5D in the multivariate model
  • Econometrics II Ordered Multinomial Outcomes. Tobit regression.
    The standard way of modelling ordered response variables is by means of ordered probit or ordered logit These two models are very similar I will discuss the ordered probit, but everything below carries over to the logit if we replace the normal CDF ( :) by the logistic CDF ( :) 2
  • A Class of Conjugate Priors for Multinomial Probit Models which . . .
    Multinomial probit models are routinely-implemented representations for learning how the class probabilities of categorical response data change with p observed predictors Although several frequentist methods have been developed for estimation, inference and classi cation within such a class of models, Bayesian inference is still lagging behind





中文字典-英文字典  2005-2009