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北京天演融智软件有限公司(科学软件网)前身是北京世纪天演科技有限公司,成立于2001年,专注为国内高校、科研院所和以研发为主的企事业单位提供科研软件和服务的国家。
Frequentist inference is based on the sampling distributions of estimators of parameters and provides
parameter point estimates and their standard errors as well as confidence intervals. The exact sampling
distributions are rarely known and are often approximated by a large-sample normal distribution.
Bayesian inference is based on the posterior distribution of the parameters and provides summaries of
this distribution including posterior means and their MCMC standard errors (MCSE) as well as credible
intervals. Although exact posterior distributions are known only in a number of cases, general posterior
distributions can be estimated via, for example, Markov chain Monte Carlo (MCMC) sampling without
any large-sample approximation.
Frequentist confidence intervals do not have straightforward probabilistic interpretations as do
Bayesian credible intervals. For example, the interpretation of a 95% confidence interval is that if
we repeat the same experiment many times and compute confidence intervals for each experiment,
then 95% of those intervals will contain the true value of the parameter. For any given confidence
interval, the probability that the true value is in that interval is either zero or one, and we do not
know which. We may only infer that any given confidence interval provides a plausible range for the
true value of the parameter. A 95% Bayesian credible interval, on the other hand, provides a range
for a parameter such that the probability that the parameter lies in that range is 95%.

Stata是一款完整的、集成的统计软件包,提供您需要的一切数据分析、数据管理和图形。
统计功能介绍
Stata使得大量的统计工具用于指尖
标准方法,如
基本表格和总结
案例对照分析
ARIMA
ANOVA 和MANOVA
线性回归
时间序列平滑
广义线性模型(GLM)
聚类分析
对比和比较
功率分析
样本选择
……
高级方法,如
多层模型
生存分析
动态面板数据回归
结构方程建模
二进制,计数和审查结果
ARCH
多重替代法
调查数据
Treatment effects
精确统计
贝叶斯分析
……
Stata是一个统计分析软件,但它也具有很强的程序语言功能,这给用户提供了一个广阔的开发应用的天地,用户可以充分发挥自己的聪明才智,熟练应用各种技巧,真正做到随心所欲。事实上,Stata的ado文件(高级统计部分)都是用Stata自己的语言编写的。
Stata其统计分析能力远远**过了SPSS,在许多方面也**过了SAS!由于Stata在分析时是将数据全部读入内存,在计算全部完成后才和磁盘交换数据,因此计算速度较快(一般来说, SAS的运算速度要比SPSS至少快一个数量级,而Stata的某些模块和执行同样功能的SAS模块比,其速度又比SAS快将近一个数量级!)Stata也是采用命令行方式来操作,但使用上远比SAS简单。其生存数据分析、纵向数据(重复测量数据)分析等模块的功能甚至**过了SAS。用Stata绘制的统计图形相当精美,很有特色。
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不管您是需要购买单款软件,还是制定整个实验室的购买方案,都可以提供。

We are excited to introduce you to the new features in Stata 16. Below, we list highlights of the release. In what follows, we tell you a little more about the first 13 of them. We introduce each feature using words that you might also use as you introduce them to existing and potential Stata users.
The majority of these features will be exciting to researchers in all disciplines. Where appropriate, we will highlight which disciplines will be most interested or provide advice about how different groups of users will relate to the feature. We

We consider two types of CRIs. The first one is based on quantiles. The second one is the highest
posterior density (HPD) interval.
An f(1 �� ) 100g% quantile-based, or also known as an equal-tailed CRI, is defined as
(q=2; q1��=2), where qa denotes the ath quantile of the posterior distribution. A commonly reported
equal-tailed CRI is (q0:025; q0:975).
HPD interval is defined as an f(1 �� ) 100g% CRI of the shortest width. As its name implies,
this interval corresponds to the region of the posterior density with the highest concentration. For a
unimodal posterior distribution, HPD is unique, but for a multimodal distribution it may not be unique.
Computational approaches for calculating HPD are described in Chen and Shao (1999) and Eberly
and Casella (2003).
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