 |
产品信息 Products Info |
|
 |
|
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
|
|
|
|
|