Ebook: XploRe — Learning Guide
- Tags: Statistics and Computing/Statistics Programs
- Year: 1999
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APSS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in troduces graphics. The graphics are interactive and cover a wide range of dis plays of statistical data.
This is the comprehensive handbook to XploRe - the interactive statistical environment, a versatile tool for data analysis. XploRe combines classical techniques with high end statistical procedures and is the ideal solution for data exploration. The user-friendly graphics provide an effective basis for large-scale statistical analysis, computer intensive research and interactive knowledge discovery. The open architecture and the Auto Pilot Support System (APSS) guarantees smooth integration of future methods and updated data analysis techniques.
This is the comprehensive handbook to XploRe - the interactive statistical environment, a versatile tool for data analysis. XploRe combines classical techniques with high end statistical procedures and is the ideal solution for data exploration. The user-friendly graphics provide an effective basis for large-scale statistical analysis, computer intensive research and interactive knowledge discovery. The open architecture and the Auto Pilot Support System (APSS) guarantees smooth integration of future methods and updated data analysis techniques.
Content:
Front Matter....Pages i-18
Front Matter....Pages 19-19
Getting Started....Pages 21-41
Descriptive Statistics....Pages 43-68
Graphics....Pages 69-127
Regression Methods....Pages 129-146
Teachware Quantlets....Pages 147-165
Front Matter....Pages 167-167
Smoothing Methods....Pages 169-204
Generalized Linear Models....Pages 205-228
Neural Networks....Pages 229-246
Time Series....Pages 247-271
Kalman Filtering....Pages 273-284
Finance....Pages 285-306
Microeconometrics and Panel Data....Pages 307-351
Extreme Value Analysis....Pages 353-374
Wavelets....Pages 375-408
Front Matter....Pages 409-409
Reading and Writing Data....Pages 411-427
Matrix Handling....Pages 429-463
Quantlets and Quantlibs....Pages 465-501
Back Matter....Pages 503-526
This is the comprehensive handbook to XploRe - the interactive statistical environment, a versatile tool for data analysis. XploRe combines classical techniques with high end statistical procedures and is the ideal solution for data exploration. The user-friendly graphics provide an effective basis for large-scale statistical analysis, computer intensive research and interactive knowledge discovery. The open architecture and the Auto Pilot Support System (APSS) guarantees smooth integration of future methods and updated data analysis techniques.
Content:
Front Matter....Pages i-18
Front Matter....Pages 19-19
Getting Started....Pages 21-41
Descriptive Statistics....Pages 43-68
Graphics....Pages 69-127
Regression Methods....Pages 129-146
Teachware Quantlets....Pages 147-165
Front Matter....Pages 167-167
Smoothing Methods....Pages 169-204
Generalized Linear Models....Pages 205-228
Neural Networks....Pages 229-246
Time Series....Pages 247-271
Kalman Filtering....Pages 273-284
Finance....Pages 285-306
Microeconometrics and Panel Data....Pages 307-351
Extreme Value Analysis....Pages 353-374
Wavelets....Pages 375-408
Front Matter....Pages 409-409
Reading and Writing Data....Pages 411-427
Matrix Handling....Pages 429-463
Quantlets and Quantlibs....Pages 465-501
Back Matter....Pages 503-526
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