Developing statistical software in Fortran 95 - Info and Reading Options
By David R. Lemmon
“Developing statistical software in Fortran 95” Metadata:
- Title: ➤ Developing statistical software in Fortran 95
- Author: David R. Lemmon
“Developing statistical software in Fortran 95” Subjects and Themes:
- Subjects: ➤ Statistics - FORTRAN (Computer program language) - Data processing - Fortran (computer program language) - Statistics, data processing - Electronic data processing - Computer science - Mathematics - Mathematical statistics - Statistics and Computing/Statistics Programs - Numerical and Computational Methods in Engineering - Computational Science and Engineering - Computational Mathematics and Numerical Analysis - Numeric Computing
Edition Identifiers:
- The Open Library ID: OL18346756W
AI-generated Review of “Developing statistical software in Fortran 95”:
"Developing statistical software in Fortran 95" Description:
The Open Library:
Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. Topics include how to: Program in Fortran 95 using a pseudo object-oriented style Write accurate and efficient computational procedures Create console applications Build dynamic-link libraries (DLLs) and Windows-based software components Develop graphical user interfaces (GUIs) Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a tutorial on creating GUIs for Fortran computational code using Visual Basic.NET. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing. --back cover
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