 |
产品信息 Products Info |
|
 |
|
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._po_min_e._co_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_omin__e_.__com
Multilevel models
w_w_w__._p_omi_n_e.com_
Negative binomial
Ordered logistic
Ordered probit
Multinomial logistic
GLM
Hierarchical and crossed models
w__ww.__po__m_ine._c_o_m
Power and sample size
w__w__w__.__po_m_i_n_e._c__o__m_
Means, proportions, variances, correlations
Case–control and cohort studies
Interactive control panel
Tabular results
Automatic graphs
ww_w_._pom_i_n_e.__c_o__m
Generalized SEM
Generalized linear responses: binary, count, ordered outcomes
Multilevel models: nested (hierarchical) and crossed
Random slopes and intercepts
Fast
w__w__w__._p_om__i_n_e.__c_o__m
Forecasting
Time series and panels
One to thousands of equations
Identities
Add factors
Dynamic and static
CIs via stochastic simulation
Compare scenarios
w__w_w._p_o_mi__n__e._c__o__m
Long strings
www_.p__o_m__i__ne.c_o__m__
Two billion character strings
Text strings
Binary large objects (BLOBs)
Import/Export/ODBC/SQL
Work just like Stata strings
w_w__w_.__po_mi__ne__.co_m__
Panel data
w_w_w.p__o_mi__ne.c__o__m
Ordered outcomes
Random-effects ordered probit
Random-effects ordered logistic
Random-effects multinomial logit
Cluster–robust SEs
w_w_w_.__po_m__i__n__e_.co__m
Project Manager
w_w_w.__p_om_in_e._c_o_m_
Organize files (1–10,000)
Multiple projects
Filter on filenames
Click to open
Click to run
w_w__w.__pomi_ne._c_o_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._p_o_m_in_e_.__c_om_
More documentation
w__w__w._pom__in_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_o__mi_ne._c_o_m__
More statistics
ww_w__._p__o_mi_n_e.__c_o_m__
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__w__w_.__po_m__in_e_.c_o_m__
And more
w_w_w__.__p_o_m_in_e_._c_om_
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 |
|
|
|
|