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008 150903s2005 xxu| o |||| 0|eng d
020 _a9780387281230
_9978-0-387-28123-0
024 7 _a10.1007/0387281231
_2doi
035 _avtls000330496
039 9 _a201509030722
_bVLOAD
_c201404120453
_dVLOAD
_c201404090235
_dVLOAD
_c201401311343
_dstaff
_y201401291456
_zstaff
_wmsplit0.mrc
_x916
050 4 _aQA276-280
100 1 _aLemmon, David R.
_eautor
_9302551
245 1 0 _aDeveloping Statistical Software in Fortran 95 /
_cby David R. Lemmon, Joseph L. Schafer.
264 1 _aNew York, NY :
_bSpringer New York,
_c2005.
300 _aXV, 323 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStatistics and Computing,
_x1431-8784
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aSchafer, Joseph L.
_eautor
_9302552
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387238173
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-28123-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c278734
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