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产品信息 Products Info |
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Stata v14 发布 |
2015-04-10
广州博脉 |
Stata 公司发布了最新的全功能统计软件 Stata v14。下面是全新的特性: ww__w._po_mi__n__e.__c_o_m_ Bayesian analysis ww_w_._p__o__m_in_e_._c__om_ Thousands of built-in models Add your own models Adaptive Metropolis–Hastings Gibbs sampling Convergence diagnostics Posterior summaries Hypothesis testing Model comparison More w_ww__.p_o_min_e__.__c_om__ IRT (item response theory) w_ww_._po_m__i_n__e_.co_m Binary response models—1PL, 2PL, 3PL Ordinal response models—graded response, partial credit, rating scale graph Nominal response model Hybrid models Item characteristic curves Test characteristic curves Item information function More w_ww.pom__i_n__e_._c_o_m__ Unicode w_w_w_.p_omine_.__co__m_ Data Variable and value labels Variable names! More w_w__w_._p_o_mi_n_e__.c_om__ Integration with Excel w_w__w._po__mine.c_o__m__ Cell formatting Font formatting Insert Stata graphs Create cell formulas w_w_w_._pom_i_n_e__.c__om_ Treatment effects w__ww._p__o__m_in__e_.c_o_m__ Survival outcomes Endogenous treatments Balance diagnostics and tests Sampling weights More ww_w.p_omin__e__.c__o__m_ Multilevel survival models ww__w.p__o__m_i_ne__.co_m Random effects Crossed effects Two, three, higher level Right censoring Exponential, Weibull, ... Survey data w_ww._po__m_i_n__e_.c_o__m_ Multilevel models w__w_w_.p__om__i_n__e_._c_om Survey data Multilevel sampling weights Survival models Denominator degrees of freedom Marginal predictions, means, effects More w_ww._p__om_i__ne.c_o__m_ SEM (structural equation modeling) www__.p__o_m_ine._c_om_ SEM path diagram Satorra–Bentler adjustments Survival models Survey data Multilevel weights Marginal predictions, means, effects More w__w_w__._p__o__m_i_ne_._c_om_ Power and sample size www__.p_o_mine._c_o__m Contingency tables Cochran–Mantel–Haenszel test Test for trend Matched case–control studies Survival analysis w_ww_._p_o_m_i__n__e_._c__o__m_ Markov-switching models w_w_w_._p_om_ine_.__c_o_m Autoregressive model Dynamic regression model State-dependent parameters Transition probabilities State membership probabilities ww__w_._po_m_ine.com Survey statistics w__w__w._p_o_m_in_e_._c_o__m_ Multilevel models Survival models SEM (structural equation modeling) Multistage/multilevel weights More w_ww_.po_mi_ne_.c_o_m Panel-data survival models w_w_w_._p_o__m_i_ne.c_o_m Random effects (intercepts) Random coefficients Right-censoring Exponential, Weibull, ... Survival graphs More w_ww.p_o_m__in_e_.co__m__ Fractional outcome regression www_._po_m_in__e.__c_om__ Fractions, proportions, ... Beta regression Probit and logit Heteroskedasticity Odds ratios w_ww.__po__m_i__ne__.__c__om Marginal means and marginal effects w_ww__._p_o_m__i_n_e.c_o_m Multiple outcomes Multiple equations Integrate over random effects Integrate over latent variables w_w_w_._p__o__m__i__ne__.__com__ More documentation ww_w_.__p_om__i_n_e_.__c_om_ Two all new manuals 12,000+ total pages Quick starts Thousands of worked examples Overview of statistical methods More w_ww_.pom__in_e__.__com__ More statistics w_w_w._p_o_m_i__n__e_.__com Hurdle models Censored Poisson models Beta regression Structural break tests z tests comparing means More distribution functions Mersenne Twister More ww_w__.__p_o_m_i_n_e_.com_ And more w__w_w_.p_o_m_i_ne._c_o__m More than 2 billion observations Postestimation made easy ICD-10 Interface in Spanish and Japanese More
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