|
产品介绍 Introduction |
![[lnkBackToProduct]](softwares/Stata/images/logo.gif "Stata - 数据统计分析管理绘图软件") |
|
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：
ww__w_._p_omi_n_e_._c_om
Bayesian analysis
www_.po_mi_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_o__m_i_n__e_._c__o__m__
IRT (item response theory)
w__w_w__._po__m__i_ne__.c_o_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.p_om_i_n__e._co__m_
Unicode
w_w__w__._p_o_m_i_ne_._c_o_m_
Data
Variable and value labels
Variable names!
More
w_ww.p_o_m_i_n_e__.__c_o__m
Integration with Excel
w_w__w_._p_om_i_n__e__.c_o_m__
Cell formatting
Font formatting
Insert Stata graphs
Create cell formulas
w_ww.p__o_m__i_n_e.c__o__m
Treatment effects
ww__w_._p__o_m_i_n__e_.c_om_
Survival outcomes
Endogenous treatments
Balance diagnostics and tests
Sampling weights
More
w_w_w._p_om_i__n__e__._c__o__m
Multilevel survival models
w__w_w_._p_o_m__i_n_e_._com
Random effects
Crossed effects
Two, three, higher level
Right censoring
Exponential, Weibull, ...
Survey data
w_ww._pom_in__e.__com
Multilevel models
w_w_w._pomi_n_e.c_o_m
Survey data
Multilevel sampling weights
Survival models
Denominator degrees of freedom
Marginal predictions, means, effects
More
w__w__w_.__p_o__m_i_n__e_.c__o_m_
SEM (structural equation modeling)
w__w_w_._p_o__m_i_ne.com__
SEM path diagram
Satorra–Bentler adjustments
Survival models
Survey data
Multilevel weights
Marginal predictions, means, effects
More
w_w__w_.po_mi__n__e__._c_om
Power and sample size
w_w_w_.__pom__i_n__e.com_
Contingency tables
Cochran–Mantel–Haenszel test
Test for trend
Matched case–control studies
Survival analysis
ww_w_.p__om_in_e_.__c__o_m
Markov-switching models
w_ww_.pom__i_n_e.co_m_
Autoregressive model
Dynamic regression model
State-dependent parameters
Transition probabilities
State membership probabilities
w_ww.__pom_i_ne__._c_o__m
Survey statistics
w_w_w__._p__om_i_n_e_._c_o_m__
Multilevel models
Survival models
SEM (structural equation modeling)
Multistage/multilevel weights
More
www__._p_o_m_i__n__e._c_o_m_
Panel-data survival models
ww_w__._p_o_mi_ne_.c_om
Random effects (intercepts)
Random coefficients
Right-censoring
Exponential, Weibull, ...
Survival graphs
More
w_w__w_.p_om_i__ne_._c_o_m
Fractional outcome regression
w_w_w__._p_omin__e._c__o__m
Fractions, proportions, ...
Beta regression
Probit and logit
Heteroskedasticity
Odds ratios
w_ww__._p_om_i__n__e_.c_om__
Marginal means and marginal effects
w__w_w_.p__o__m_in_e.c_o_m__
Multiple outcomes
Multiple equations
Integrate over random effects
Integrate over latent variables
ww__w_._po__m_i_n_e_.__co__m_
More documentation
w__w_w.__p_o_m__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_w_w__._p_o_m_i_n_e_.com_
More statistics
w__w_w__._po__min__e.__co_m__
Hurdle models
Censored Poisson models
Beta regression
Structural break tests
z tests comparing means
More distribution functions
Mersenne Twister
More
w_ww_.p_omin__e._com_
And more
www_.__p__omi__n_e_._c__o__m__
More than 2 billion observations
Postestimation made easy
ICD-10
Interface in Spanish and Japanese
More
|
|
|
|
|
|