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最新统计软件 Stata 13 发布 |
2013-06-27
广州博脉 |
最新的全功能统计软件 Stata 13 增强了许多功能: ww_w__.__p_o_m_ine.c__o_m__ Treatment effects Inverse-probability weights (IPW) Regression adjustment Propensity-score matching Covariate matching Doubly robust methods Continuous, binary,and count outcomes Endogenous treatment models w__ww._p_o__m_i__n__e__.c_o_m__ Multilevel models w_w_w__._p_o_min_e_.c__om_ Negative binomial Ordered logistic Ordered probit Multinomial logistic GLM Hierarchical and crossed models ww__w__.p__o__m__i_n__e.c_om__ Power and sample size w_ww__.p__o_m_i__n_e_.co_m_ Means, proportions, variances, correlations Case–control and cohort studies Interactive control panel Tabular results Automatic graphs w__w_w._p_omin_e__._c_o_m_ Generalized SEM Generalized linear responses: binary, count, ordered outcomes Multilevel models: nested (hierarchical) and crossed Random slopes and intercepts Fast www_._p_o_mi__n_e__.co_m_ Forecasting Time series and panels One to thousands of equations Identities Add factors Dynamic and static CIs via stochastic simulation Compare scenarios ww_w__._pom_ine_.com_ Long strings w_w_w_._p_o_mi_n_e__.__c_o__m__ Two billion character strings Text strings Binary large objects (BLOBs) Import/Export/ODBC/SQL Work just like Stata strings www_._p_o__mi_ne_._c_o__m_ Panel data www__.__p_o_m_i_ne__._c_o__m Ordered outcomes Random-effects ordered probit Random-effects ordered logistic Random-effects multinomial logit Cluster–robust SEs ww_w.p_o_m_i_ne_.__co_m Project Manager ww_w_.p_o_m_i_ne.__c_om__ Organize files (1–10,000) Multiple projects Filter on filenames Click to open Click to run w__w__w_.__p_o__m_i_n__e._co_m_ Effect sizes Comparison of means ANOVA Linear regression Confidence intervals Cohen’s d, Hedges’s g, Glass’s Δ, η2, ω2 w__w_w__._pom_i_ne_.__c_om_ More documentation w_w_w.__p__o__m__i__n__e._c_o_m_ Three all-new manuals 11,000+ total pages Thousands of worked examples Statistical overviews Fast and easy navigation See the video w_ww__._p_om__in_e.com More statistics w__w_w._po_m_i_n__e_.c__om Ordered probit with sample selection Poisson with endogenous covariates Robust SEs for quantile regression ML estimation without programming Fractional polynomial prefix Intraclass correlations Seven noncentral-t and noncentral-F functions Marginal effects for changes from status quo w_ww__.po_min__e.__co_m_ And more www_.p_o_mine._c_o__m__ Factor variables now show labels Import delimited with preview Import from Haver Analytics Business calendars from data Create Word and Excel files Java plugin API FTP and secure HTTP |
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