000 04317nam a22005055i 4500
001 978-0-387-28123-0
003 DE-He213
005 20250710083940.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 _a9780387281230
_a99780387281230
024 7 _a10.1007/0-387-28123-1
_2doi
082 0 4 _a519.5
_223
100 1 _aLemmon, David R.
_eauthor.
245 1 0 _aDeveloping Statistical Software in Fortran 95
_h[recurso electrónico] /
_cby David R. Lemmon, Joseph L. Schafer.
264 1 _aNew York, NY :
_bSpringer New York,
_c2005.
300 _aXV, 323 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics and Computing,
_x1431-8784
505 0 _aMotivation -- 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.
520 _aMany 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 missing values, analysis of longitudinal data, statistical computing and methodology for studies of substance-use prevention. He has served as a statistical consultant to numerous government agencies and has taught many workshops and short courses on topics related to missing data.
650 0 _aSTATISTICS.
650 0 _aELECTRONIC DATA PROCESSING.
650 0 _aCOMPUTER SCIENCE
_xMATHEMATICS.
650 0 _aCOMPUTER SCIENCE.
650 0 _aMATHEMATICAL STATISTICS.
650 1 4 _aSTATISTICS.
650 2 4 _aSTATISTICS AND COMPUTING/STATISTICS PROGRAMS.
650 2 4 _aNUMERICAL AND COMPUTATIONAL METHODS IN ENGINEERING.
650 2 4 _aCOMPUTATIONAL SCIENCE AND ENGINEERING.
650 2 4 _aCOMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS.
650 2 4 _aNUMERIC COMPUTING.
700 1 _aSchafer, Joseph L.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387238173
830 0 _aStatistics and Computing,
_x1431-8784
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-28123-1
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SMA
942 _2ddc
_cER
999 _c56776
_d56776