rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Developing Statistical Software in Fortran 95
  name:
    name part: Lemmon, David R.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Schafer, Joseph L.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 324 p. online resource.
  abstract: 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. David R. Lemmon is a Research Associate at The Methodology Center in The Pennsylvania State University's College of Health and Human Development. He holds a Ph.D. in Mechanical Engineering from the University of Cincinnati. His areas of previous work include finite element analysis, automobile crash simulation, and biomechanical modeling of the diabetic foot. Since 2001, he has served as the Center's Senior Statistical Programmer, managing the creation of new statistical software for research and education. Joseph L. Schafer is Associate Professor in the Department of Statistics at The Pennsylvania State University and a Principal Investigator at The Methodology Center. He holds a Ph.D. in Statistics from Harvard University. His areas of research include statistical methods for mis…
  table of contents: Motivation -- to Modern Fortran -- A Pseudo Object-Oriented Style -- Implementing Computational Routines -- Developing a Console Application -- Creating and Using Dynamic-Link Libraries -- Creating COM Servers -- Creating COM Clients.
  note: by David R. Lemmon, Joseph L. Schafer.
  subject:
    topic: Statistics
  subject:
    topic: Software engineering
  subject:
    topic: Programming languages (Electronic computers)
  subject:
    topic: Computer mathematics
  subject:
    topic: Computational intelligence
  subject:
    topic: Statistics
  subject:
    topic: Statistics and Computing/Statistics Programs
  subject:
    topic: Software Engineering/Programming and Operating Systems
  subject:
    topic: Programming Languages, Compilers, Interpreters
  subject:
    topic: Computational Intelligence
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Computational Mathematics and Numerical Analysis
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics and Computing
  identifier: 9780387281230
  identifier: http://dx.doi.org/10.1007/0-387-28123-1
  record info:
    record creation date: 100301
    record change date: 20151204185511.0
    record identifier: 978-0-387-28123-0