|
产品咨询 Enquiry |
若您有任何产品的问题或需求，欢迎随时与我们联络。
我们将很乐意为您服务！
电邮：info@pomine.com
电话：(020) 2264 4217
传真：(020) 2264 4215
您还可以填写产品咨询表： |
 |
|
|
 |
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：
w_w_w.p_omin_e.co_m__
Bayesian analysis
ww__w._p_o_m__i_n__e_._c__o__m_
Thousands of built-in models
Add your own models
Adaptive Metropolis–Hastings
Gibbs sampling
Convergence diagnostics
Posterior summaries
Hypothesis testing
Model comparison
More
w_w_w_.__p__om__in__e._c_o__m
IRT (item response theory)
w_w__w_._pom__i__ne._com_
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_w_w.po__m_i_n_e__._co_m
Unicode
www_.__p_o__m_ine_.__c_om__
Data
Variable and value labels
Variable names!
More
ww_w.pomi_n_e._com_
Integration with Excel
w_w_w__._p_o__min_e__._c__om_
Cell formatting
Font formatting
Insert Stata graphs
Create cell formulas
w_w_w_.po_mi_n_e_._c_o__m
Treatment effects
www_.p__o__m_i__n_e.c__om_
Survival outcomes
Endogenous treatments
Balance diagnostics and tests
Sampling weights
More
w__w__w_.__p_o_m_in_e.c__o__m_
Multilevel survival models
ww__w.__pom_in__e_._c__o_m_
Random effects
Crossed effects
Two, three, higher level
Right censoring
Exponential, Weibull, ...
Survey data
w_w_w_.p_o_m_i_ne_.__com_
Multilevel models
w__w_w__.__p__o__mi_n_e_._c_o_m_
Survey data
Multilevel sampling weights
Survival models
Denominator degrees of freedom
Marginal predictions, means, effects
More
w__w_w__._pomi__ne__._co_m_
SEM (structural equation modeling)
ww_w.__p__o_m_i_n_e__._c__om__
SEM path diagram
Satorra–Bentler adjustments
Survival models
Survey data
Multilevel weights
Marginal predictions, means, effects
More
w_w__w_.pom_i_n_e_.c__o__m
Power and sample size
w_ww.__po_m_i__ne.__c_o_m
Contingency tables
Cochran–Mantel–Haenszel test
Test for trend
Matched case–control studies
Survival analysis
w_ww.po_m_i_n_e.__c_o_m
Markov-switching models
w_ww__._p_o_m__i_n_e__.com_
Autoregressive model
Dynamic regression model
State-dependent parameters
Transition probabilities
State membership probabilities
ww_w._po__mi_n__e__.__c_o_m
Survey statistics
w_ww_._po_m_i_ne.c__o__m_
Multilevel models
Survival models
SEM (structural equation modeling)
Multistage/multilevel weights
More
ww_w.pom_i__ne_._c__o_m__
Panel-data survival models
w_ww_._po_m_in_e.__co_m_
Random effects (intercepts)
Random coefficients
Right-censoring
Exponential, Weibull, ...
Survival graphs
More
ww_w_.__po_m_in__e_._c_om_
Fractional outcome regression
w_w_w._p_o_mi_n__e__._c__om_
Fractions, proportions, ...
Beta regression
Probit and logit
Heteroskedasticity
Odds ratios
ww_w.p_o__m_i_n__e._c_o_m
Marginal means and marginal effects
w_w__w_._p__o_m_i_ne_._c__o_m_
Multiple outcomes
Multiple equations
Integrate over random effects
Integrate over latent variables
w_ww_.p__o_min__e._c_om_
More documentation
w__w_w__.__p_o_mi__n_e.__co__m_
Two all new manuals
12,000+ total pages
Quick starts
Thousands of worked examples
Overview of statistical methods
More
w__ww._p_o__m__in__e__.__com
More statistics
w_w_w_.p_o__min_e_.c_om__
Hurdle models
Censored Poisson models
Beta regression
Structural break tests
z tests comparing means
More distribution functions
Mersenne Twister
More
ww_w_.__p__o_mi__n__e_.__co_m
And more
ww_w_.po__m__i_n_e_.co_m__
More than 2 billion observations
Postestimation made easy
ICD-10
Interface in Spanish and Japanese
More
|
|
|
|
|
|