重金悬赏你知道的经管软件名称

systat
SYSTAT是一款强大的统计软件，拥有你在进行高效的数据分析时所需要的各种统计功能。 它为你提供从基础的描述性统计到基于高端算法的高级统计方法的各种功能。 如果你是统计学的新手，你可以使用友好、简单的菜单-对话框完成工作。 如果你是统计学的老手，你也许更喜欢使用直观的命令语言，快捷、方便地分析数据。在这两种情况下，你可以利用它的许多强大技术来分析多种类型的数据和回答多种问题。你可以基于线性、广义线性、以及混合线性模型进行单变量和多变量数据的全面分析。当你的数据不适合做传统的多重回归分析时，你可以进行多种稳健回归分析。你可以计算偏最小二乘回归。你可以做实验设计，进行功效分析，拟合数据。你可以用它进行矩阵运算。任何你需要的——时间序列，生存分析，响应面优化，空间统计，测验题分析， 聚类分析，分类和回归树，对应分析，多维尺度分析，联合分析，质性分析，路径分析等等

GLIMMIX
GLIMMIX is a powerful approach to segmentation based on latent class models. Mixture regression methods for simultaneous segmentation and estimation of regression models have recently received a great deal of attention in marketing research. In the approaches, consumers are grouped into a number of segments and ,at the same time, a regression model which relates a dependent variable to a set of predictors, is estimated within each segment. The approach has been shown to provide a very powerful approach to segmentation problems.

GLIMMIX implements this mixture of regressions methodology in a user-friendly way. It enables the estimation of such models for a great variety of data, such as brand choice and purchase frequency, pick any n and paired comparisons data, (inter)purchase times, and conjoint data, allowing for the specification of normal, Poisson, gamma, binominal distributions, and in version 2 also for multinominal distributions. The use of GLIMMIX is not limited to marketing research, but extends to business and economic research. But also to areas like psychology, sociology, anthropology, political science, etc.

The major 32-bits release offers different model specifications for different segments, and the possibility to get the posteriors for the whole dataset even when analysis is based on a subset of the data. In addition, expanded input data formats, binominal rating scale analysis, class profiling with descriptor variables and analysis adding random responders class have been included. The user interface and output representation have been improved, as well as the manual and online help facility.

GOLDMineR 2.0
在使用GOLDMineR之前，从没有像现在一样理解信息。它适用于多端，一端或者团体连续性的输出。

Equiv Test/PK
EquivTest/PK is a suite of tools that provides the user with a comprehensive set of pharmacokinetic calculations as well as extensive tests and confidence intervals for equivalence testing.
EquivTest/PK provides a range of tests and confidence intervals for the statistical analysis of Equivalence Studies. Researchers working in clinical equivalence and bioavailability studies can now use this equivalence testing software to investigate equivalence according to FDA and CPMP guidelines.
PK Parameters
EquivTest/PK now has the added feature of simple-to-use, built-in pharmacokinetic functions. It provides a fast and easy means of calculating and plotting the most commonly used pharmacokinetic parameters such as;
Cmax, Tmax, Lag Time, AUC(0-t), AUC(t-∞), AUC(0-∞), AUC(0-t)/AUC(0-∞), Mean Residence Time, AUMC(0-t), AUMC(0-∞), Half-Life, Elimination Rate Constant (λ ).
All of the PK calculations in EquivTest/PK are based on noncompartmental methods of analysis for the estimation of pharmacokinetic parameters. (See What’s New Section).

StatXact
"The culmination of ten years of intense research and development, StatXact 8 is the most complete, up-to-date software package for exact nonparametric statistical inference on continuous or categorical data in the world. With StatXact we've covered every mainstream nonparametric procedure, using a full-fledged GUI implementation under Windows. We have provided at least one solution for every important nonparametric statistical problem involving either binary, categorical or continuous data. And, as is our trade-mark, every single one of these solutions is exact. That is, it remains valid for small, sparse and unbalanced data sets. All in all you can access over 80 exact procedures through the StatXact pull-down menus. In addition, we've provided the tools for you to construct your own exact procedures, or to combine two or more procedures in an optimal fashion through a suitable choice of scores. When it comes to handling small-sample data, no other statistical package can even come close to the power and scope of StatXact. Here are some highlights from the StatXact procedures:"

BMDP
BMDP是Bio Medical Data Processing的缩写，是世界级的统计工具软件，至今已经有40多年的历史。目前在国际上与SAS、SPSS被并称为三大统计软件包。BMDP是一个大型综合的数据统计集成系统，从简单的统计学描述到复杂的多变量分析都能应付自如。每一个BMDP程序的执行算法都经历了最为严酷的实际专业测试才被予以应用。 　　BMDP为常规的统计分析提供了大量的完备的函数系统，如：方差分析（ANOVA）、回归分析（Regression）、非参数分析（Nonparametric Analysis）、时间序列（Times Series）等等。此外，BMDP特别擅于进行出色的生存分析（Survival Analysis ）。许多年来，一大批世界范围内顶级的统计学家都曾今参与过BMDP的开发工作。这不仅使得BMDP的权威性得到了保障，更使BMDP能够为全世界的同行提供质量极高的统计分析服务。 　　BMDP第一版诞生于1961年，由加州大学洛杉矶分校研发。是由一个名为BIMED的生物医学应用软件修改而来。起初是免费使用的，应用于生化、医药、农业等领域的统计分析。1968年 BMDP公司发行，是最早的综合专业统计分析软件，在国际上影响很大，它方法全面、灵活，早期曾有很多独具特色的分析方法。 　　进入20世纪90年代后，BMDP发展路途不畅，从1991年的7.0版以后就没有新版本。但BMDP统计软件作为一方霸主，在国外仍然影响巨大，国外许多大学的统计学网站均对其关照有加，几乎所有著名大学统计学系开设的多变量分析课程当中都有BMDP软件的教学内容，而且大型学术研究机构的服务器上也通常安装着BMDP for Unix软件供终端用户使用。 　　最后BMDP被SPSS公司并购，并且收购之初SPSS公司在开发与推广BMDP统计软件方面的积极性也不大。如今，可能是由于要与SAS竞争专业统计领域的市场份额，BMDP的停滞状况才有所改变。目前最新的版本是BMDP 2007。

FinTools Risk XL

FinTools 是一套历史最久的财金分析软件。自1988年起，FinTools 持续以最新的财金理论模型为基础，提供最强大的金融市场分析与预测工具。不论是选择权定价、债券价值、风险管理或价格波动等问题，都可以透过FinTools 以最快的速度获得最可靠的分析与预测。就所支持的财金模型的广度和使用上的便利性而言，FinTools 无疑是您最佳的选择。

Power and Precision
Power and Precision
——统计幕数及可靠区间分析

Power and Precision is a stand-alone statistical power analysis software package that is used for the calculation of a sample size for a planned study. The program features an unusually clear interface, and many tools to assist the user in developing an understanding of power analysis. It incorporates the ability to create tables, graphs, and reports with a single click.


Work interactively!

Interactive guide walks you through all the steps in the power analysis

Modify any element in the study and immediately see the impact on power

Use a wide array of tools to visualize the effect size and to understand the impact of alpha, effect size, and sample size


Create A Report with a Single Click!

The program generates a lucid, comprehensive report that explains the study design, assumptions, and power.

The report serves as a teaching tool and may also be used in the statistics section of a study proposal or grant application

Export to Word™ or other word processing program.


Create Tables and Graphs with a Single Click!

Get the big picture in just seconds! Use graphs to quickly evaluate any number of options for study design.

Export to Word™, Excel™, PowerPoint™ and other programs.

Include the graphs in your presentation or grant application to justify your selection of a sample size.

The program features an unusually clear interface, and many tools to assist the user in developing an understanding of power analysis. It incorporates the ability to create tables, graphs, and reports with a single click. It includes a number of features that are helpful for teaching power analysis, and others that allow the researcher to explain and justify the selection of a sample size for grant applications.

This statistical program is currently in use in more than 8,000 institutions. Our clients include several thousand universities, numerous consulting firms and research institutes, many major pharmaceutical companies, various government agencies including the FDA and the CDC, as well as numerous other entities both in the U.S. and abroad.

The program is shipped with a 300 page manual that includes a comprehensive introduction to power analysis as well as worked examples and algorithms for all procedures.

Working With Results  
Tables

Print directly  
Copy to clipboard as data and insert into Microsoft Excel® or other spreadsheet New!  
Copy to clipboard as a bitmap and insert into Microsoft Word ® or other word processing program  
Graphs  
Print directly  
Copy to clipboard as data and insert into Microsoft Word® or other word processing program  
Export as bitmap (BMP), Windows Metafile (WMF) or Windows enhanced Metafile (EMF) and insert into Microsoft Word®, PowerPoint® or other programs New!  
Reports  
Save as RTF file or copy to clipboard and insert into Word ® or other word processing programs.  
Stored Scenarios (Sensitivity analysis)  
Print directly  
Copy to clipboard as data and insert into Microsoft Excel® or other spreadsheet New!  
Copy to clipboard as a bitmap and insert into Microsoft Word® or other word processing program  
Tables and graphs  
Pivot the tables interactively New!  
Display several graphs at once to assess the impact of factors in isolation or in combination with each other. New!  
Graphs are linked to the tables - Drag and drop columns in table, and the graphs are updated as well. New!  
Graphs can be saved as BMP, WMF, EMF files and easily exported to Word, PowerPoint, and other programs. New!  
Tabulate and graph precision (confidence interval) and standard error as well as power for proportions and means.  
Tools and Features  
Find the sample size for a given level of power  
Assign subjects to groups using allocation ratio  
Store and restore any set of parameters  
Apply Cohen’s effect size conventions  
Store scenarios to list (sensitivity analysis)  
Customize the spin control for sample size  
Customize data entry  
Set alpha and tails, link to confidence interval  
Customize the number of decimals displayed  
Display power using digits or bar graph  
Statistical Procedures  
t-tests and z-tests

One group against a null of zero  
One group against a user-specified null  
Paired/change against a null of zero  
Paired/change against a user-specified null  
Two independent groups, enter difference score  
Two independent groups, enter mean for each group  
Proportions

One group against a null of 50%  
One group against a user-specified null  
Two independent groups (Eight computational options for power including Fisher exact test. Indices include risk difference, relative risk, and odds ratio).  
McNemar test of paired proportions  
KxC test of independent proportions*  
Sign tests  
Correlations

One group against a null of zero  
One group against a user-specified null*  
Two groups*  
Analysis of variance/covariance

One way analysis of variance/covariance  
Two way fixed effects factorial anova/ancova  
Three way fixed effects anova/ancova  
Multiple hierarchical linear regression

Templates for common designs including covariates followed by main effects; main effects followed by interactions; dummy-coded variables; and polynomial regression  
Customize the design with up to 10 sets of variables and up to 99 variables per set  
Computes power for the increment to R-squared at each step and also for the cumulative R-squared at each step  
Compute power for sequential sets combined  
Logistic regression* New!

One continuous covariate  
Two continuous covariates, one partialled  
Two continuous covariates combined  
One categorical covariate up to 5 levels  
Survival analysis* New!

Accrual options - Prior to study, constant rate, or varies  
Hazard - Constant rate or varies  
Attrition (Drop-outs) - None, constant rate, or varies  
Equivalence tests New!

Proportions*  
Means  
General Case

Compute power using the non-central t distribution, non-central F, or non-central chi-square distributions  
Power, confidence intervals, tolerance intervals

Compute power for all procedures  
Compute precision (expected width of confidence intervals) for t-tests, z-tests, one sample proportions, two independent sample proportions, and one sample correlation  
Compute tolerance intervals for t-tests  
Computational Algorithms  
Includes exact algorithms for all procedures except where noted by (*).

Help and Technical Support

Interactive guide  
Continuous summary  
Tip of the day  
Windows Help System including Table of Contents, Index, Step-by-Step Help  
Technical support by e-mail or phone  
Printed manual  
The printed manual explains the logic and proper application of power analysis. It also includes worked examples for each statistical procedure, and details for all algorithms An extensive Help system provides step-by step instructions for each procedure.

Developed by a Team of Experts  
Michael Borenstein, Jacob Cohen, Hannah Rothstein, David Schoenfeld, Jesse Berlin, Ed Lakatos

ToxTools
toxtools?，是一个完整的解决方案。?The?package?provides?modern,?sophisticated?modeling?and?estimation?algorithms?for?fitting?dose?response?data?as?part?of?a?state-of-the-?art?suite?of?graphical?and?numeric?analysis?tools?for?toxicological?risk?assessment.该软件包提供了现代的，先进的建模与估计算法拟合剂量反应数据，艺术的图形和数值分析工具毒理学风险评估使该软件大受欢迎。?
英文简介:ToxTools is a complete solution for modeling and testing data from dose-response studies, and for estimating Benchmark Dose Levels (BMD’s). The package provides modern, sophisticated modeling and estimation algorithms for fitting dose response data as part of a state-of-the-art suite of graphical and numeric analysis tools for toxicological risk assessment.
With ToxTools, you can choose from a variety of standard dose response model forms for binary and continuous responses. Unique to ToxTools are models for multivariate arrays of mixed discrete/continuous end-points, as well as the ability to accommodate correlated data such as that arising in studies of litters or clusters.
Quantitative risk estimation based on the popular Benchmark Dose methodology is easily achieved from any of the available dose response models, including recent methodological advances for defining risk from multiple outcomes. In addition to classical procedures for conducting group comparisons and tests of trend, the software incorporates new methodology for exact trend tests that apply in cases where sample sizes are small.
ToxTools incorporates these features in an intuitive, friendly Windows environment that was specifically designed for flexibility and "what if" calculations. It is very easy to conduct multiple analyses at both the modeling and risk estimation stages in order to compare/contrast results. And like all of Cytel’s products, the package attains the highest quality of commercial standards for reliability, documentation and customer support.
Comparison of ToxTools and BMDS
Feature ToxTools BMDS
Handles both individ

PASW Complex Samples
PASW Complex Samples, an add-on module for PASW Statistics, provides the specialized planning tools and statistics you need when working with sample survey data. It enables you to make more statistically valid inferences for a population by incorporating the sample design into survey analysis. You can more accurately work with numerical and categorical outcomes in complex sample designs using two algorithms for analysis and prediction. In addition, a new algorithm enables you to predict time to an event. This add-on module is an indispensable statistical tool for survey and market researchers, public opinion researchers, or social scientists, and enables you to reach more accurate conclusions when working with sample survey methodology.