德州大学奥斯汀数学和统计软件辅导
来源:互联网 发布:面试银行的java开发, 编辑:程序博客网 时间:2024/04/28 21:54
三天不学习,没资本吹牛皮。
SOFTWARE TUTORIALS
The tutorials presented here have been developed by SDS consultants and provide a general introduction to various software packages.
Click on a software name to be taken to its tutorial(s).
MATHEMATICAL SOFTWARE
IMSL Libraries, Matlab, Maple, Mathematica
STATISTICAL SOFTWARE
AMOS, HLM, PRELIS and LISREL, Mplus, SAS, SPSS, Stata
MATHEMATICAL SOFTWARE TUTORIALS
IMSL Libraries
IMSL, which once stood for "International Mathematical and Statistical Libraries," is an extensive collection of mathematical and statistical subroutines and functions in the Fortran and C programming languages. These subroutines and functions can be linked during compilation and called as embedded objects from a program or script written in the parent programming language as needed. The content of the libraries ranges from commonly used mathematical techniques such as eigensystem analysis and optimization algorithms to special functions such as Bessel, Gamma, trignometric, and hyperbolic functions. As libraries, the IMSL packages are not standalone applications. Individual routines must be called from links compiled in external programs.
- IMSL Fortran Library Tutorial
- IMSL C Library Tutorial
Matlab
An overview of commands available in Matlab can be accessed through this tutorial series. No prior knowledge of Matlab or any mathematical software is assumed. This four-part tutorial covers the basic aspects of Matlab such as statement syntax, mathematical operations and graphics, as well as some system interactions such as saving and printing your files. This tutorial assumes a basic familiarity with matrices. Click on the links below to download parts 1 through 4 of the tutorial and the files necessary for following each section of the tutorial.
- Part I: Matlab Getting Started Tutorial , Files
- Part II: Matlab Computing and Programming Tutorial , Files
- Part III: Matlab Graphics and Data Analysis Tutorial , Files
- Part IV: Matlab Modeling and Simulation Tutorial , Files
Back to top
Maple
Maple is a mathematical software package for symbolic computation. Conventional mathematical software packages usually require numerical values for all variables. In contrast, Maple can evaluate both symbolic and numerical expressions.
This tutorial is designed for beginning Maple users. No prior knowledge of Maple or any symbolic mathematical software is assumed. It will cover the basic aspects of Maple such as statement syntax, mathematical operations and graphics. While this tutorial will deal with some calculus related material, it is designed so that anyone with a basic algebra background will benefit from it.
- Maple 12 Tutorial
Back to top
Mathematica
The following tutorials are for the computational software Mathematica. The "Getting Started" tutorial details the procedures for launching Mathematica and loading notebooks. While it will deal with some calculus related material, it is designed so that anyone with a basic algebra background will benefit from it. No prior knowledge of Mathematica or any symbolic mathematical software is assumed.
Mathematica is capable of generating a wide range of graphics, from a simple plot of a function, to a three dimensional animation of complex physical systems. The "Graphics Fundamentals" tutorial concentrates on the most fundamental and most widely used of the Mathematica plotting capabilities, the use of the Plotfunction to generate two dimensional graphics.
- Mathematica Getting Started Tutorial
- Mathematica Graphics Tutorial
We also recommend dowloading tut.zip, which contains tut.nb - a Mathematica notebook that has been found to be useful as a mathematica tutorial. The tutorial in it will cover the basic aspects of Mathematica such as statement syntax, mathematical operations and graphics, as well as some system interactions such as saving and printing your files.
Back to top
STATISTICAL SOFTWARE TUTORIALS
AMOS
The AMOS (Analysis of Moment Structures) software program features a powerful, yet easy to use graphical interface. It is designed primarily for structural equation modeling and similar analyses (e.g., path analysis, confirmatory factor analysis), though it can also be used to fit MANOVA, MANCOVA, ANOVA, ANCOVA, and regression models.
- AMOS Tutorial
- wheaton-generated.zip - .sav and .xls versions of the input file needed for the tutorial.
Back to top
HLM
HLM (Hierarchical Linear Models) are used for analyzing data in a clustered or "nested" structure, in which lower-level units of analysis are nested within higher-level units of analysis. For example, students are nested within classrooms, which are nested within schools. While experimenters are often not interested in the effects of a particular classroom or school when they are examining the effects of a classroom intervention, these units potentially have an effect on the outcome of the study that should be accounted for in a statistical model. The program can be used to analyze a variety of questions using either categorical or continuous dependent variables.
- HLM Getting Started Tutorial
- Multilevel Modeling Tutorial - Using SAS, Stata, HLM, R, SPSS, and Mplus
Back to top
PRELIS and LISREL
PRELIS and LISREL are designed primarily for structural equation modeling and similar analyses (e.g., confirmatory factor analysis and path analysis), though it can also be used to fit ANOVA, ANCOVA, MANOVA, and MANCOVA models. Also, it be used to perform regression analysis and some multilevel or hierarchical linear modeling (HLMs). Many of the statistical methods are also now available for the analysis of complex sampling designs.
- LISREL and PRELIS Tutorial
- LISRELtutorial.zip for use in the tutorial.
Back to top
Mplus
Mplus is primarily designed for conducting exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. The program can also handle multiple group analysis and multilevel SEM.
- MPlus Tutorial
- Multilevel Modeling Tutorial - Using SAS, Stata, HLM, R, SPSS, and Mplus
Back to top
SAS
Over the years SAS has developed a reputation of being a powerful and full-featured package for general statistical analysis. The new release of SAS (version 8) has a number of new features that promise to make SAS more user-friendly. In particular, the current version of SAS has a substantially enhanced windows-driven interface which allows you to point and click your way through many tasks that previously required knowledge of SAS programming syntax.
- SAS Analyst Tutorial (Click HERE to download instructions for creating the dataset.)
- Part I - SAS Getting Started Tutorial
- Part II - SAS Inferential Stats Tutorial
- Multilevel Modeling Tutorial - Using SAS, Stata, HLM, R, SPSS, and Mplus
Back to top
SPSS
SPSS is extremely popular in the social sciences and is known for its user-friendly menus for running a large variety of advanced statistical tests and procedures. In the "Getting Started" tutorial, we introduce readers to the SPSS for Windows environment, and discusses how to create or import a dataset, transform variables, manipulate data, and perform descriptive statistics. The next three tutorials focus on running descriptive and inferential statistics, graphically displaying data and exporting tables into other applications, and data manipulation and management.
- SPSS Getting Started Tutorial
- SPSS Descriptive and Inferential Stats Tutorial
- SPSS Displaying Data
- SPSS Data Manipulation and Advanced Topics Tutorial
- Multilevel Modeling Tutorial - Using SAS, Stata, HLM, R, SPSS, and Mplus
Back to top
Stata
Stata is another extremely popular statistical software package, especially in the social sciences. It is know for a relatively easy-to-learn programming language as well as user-friendly drop-down menus. The "Getting Started" tutorial introduces readers to Stata 12 and discusses how to navigate the different windows in Stata, create or import a dataset, transform variables, and manage data. The "Data Analysis" tutorial dives into running statistical tests and inferences, including linear and non-linear regression, parametric and non-parametric tests, and more advanced analysis topics.
- Part I - Stata Getting Started Tutorial , Dataset
- Part II - Stata Data Analysis Tutorial , Dataset
- Multilevel Modeling Tutorial - Using SAS, Stata, HLM, R, SPSS, and Mplus
- 德州大学奥斯汀数学和统计软件辅导
- 数学软件,统计软件,珠宝软件
- 德州大学Jose教授关于"如何做好研究和博士申请"报告的心得体会
- 德州
- Numpy 数学和统计方法
- numpy 数学和统计方法
- 2008年考研关于英语政治数学辅导书和复习建议
- 大学软件专业课程回顾(二)概率与统计
- 华为软件大赛之德州扑克
- 华为软件精英挑战赛【德州扑克】心得体会
- 德州扑克 2015 华为软件精英挑战赛
- 辅导
- IMSL--国际数学和统计链接库
- 数据结构辅导---栈和队列
- 数据结构辅导---栈和队列
- 计算机等级考试辅导软件(二级c) 下载
- 软件设计师辅导课程学习指导
- 大学期间代码统计和项目失败经验流水总结
- Runtime - 运行时 理解和应用 字典转模型框架 AFN中的交换方法
- 日期和时间选择器的使用
- BZOJ-4173 数学 欧拉函数+关于余数的变换
- 线段树维护区间和模板(单结点更新)(1166)
- HashMap和Hashtable的区别
- 德州大学奥斯汀数学和统计软件辅导
- foreach VS for loop
- 2015.3.23 C#实验2总结
- LeetCode 138. Copy List with Random Pointer
- 为什么做java的web开发我们会使用struts2,springMVC和spring这样的框架?
- 他山之石,可以攻玉
- 构造函数的重载
- ETL工具kettle源码解读-前言
- Kali 2.0 安装chrome,解决依赖于 libgcrypt11