Cantitate/Preț
Produs
Total produse
Vezi coșul
Developing Statistical Software in Fortran 95 de David R. Lemmon

Developing Statistical Software in Fortran 95: Statistics and Computing

Autor David R. Lemmon, Joseph L. Schafer
en Limba Engleză Paperback – 6 mai 2005
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.
From the reviews:
"This book should be read by all statisticians, engineers, and scientists who want to implement an algorithm as a computer program. The book is the best introduction to programming that I have ever read. I value it as one of my important reference books in my personal library." Melvin J. Hinich for Techonmetrics, November 2006
"Overall, the book is well written and provides a reasonable introduction to the use of modern versions of Fortran for statistical computation. The real thrust of the book is building COM interfaces using Fortran, and it will no doubt be most useful to anyone who needs to build such interfaces." Journal of the American Statistical Association, June 2006
"The book is well written and is divided into chapters and sections which are coherent...Overall the book seems like a good resource for someone that already knows some dialect of FORTRAN and wants to learn a bit about what is new in FORTRAN 95..." Robert Gentleman for the Journal of Statistical Software, December 2006
Citește tot Restrânge

Din seria Statistics and Computing

  • 20% Independent Random Sampling Methods
    Preț: 75397 lei
  • Basic Elements of Computational Statistics
    Preț: 22821 lei
  • 20% An Introduction to Statistics with Python: With Applications in the Life Sciences
    Preț: 50519 lei
  • Introductory Statistics with R
    Preț: 43882 lei
  • Visualizing Time: Designing Graphical Representations for Statistical Data
    Preț: 37904 lei
  • 20% Visualization and Imputation of Missing Values: With Applications in R
    Preț: 103828 lei
  • R for SAS and SPSS Users
    Preț: 42672 lei
  • 20% Graphics of Large Datasets: Visualizing a Million
    Preț: 46479 lei
  • 18% R for Stata Users
    Preț: 136421 lei
  • Applied Quantitative Finance
    Preț: 43353 lei
  • Applied Time Series Analysis and Forecasting with Python
    Preț: 20434 lei
  • 20% Software for Data Analysis: Programming with R
    Preț: 115045 lei
  • 18% The Grammar of Graphics
    Preț: 94517 lei
  • 15% Linear Time Series with MATLAB and OCTAVE
    Preț: 63046 lei
  • Numerical Linear Algebra for Applications in Statistics
    Preț: 38486 lei
  • XploRe: An Interactive Statistical Computing Environment
    Preț: 39617 lei
  • 15% Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
    Preț: 62711 lei
  • 20% Mixed-Effects Models in S and S-PLUS
    Preț: 142521 lei
  • Variowin: Software for Spatial Data Analysis in 2D
    Preț: 36962 lei
  • 23% Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata
    Preț: 65230 lei
  • 15% Numerical Analysis for Statisticians
    Preț: 69605 lei
  • 15% S Programming
    Preț: 68178 lei
  • 20% Numerical Bayesian Methods Applied to Signal Processing
    Preț: 125096 lei
  • 18% Local Regression and Likelihood
    Preț: 98305 lei
  • 15% Elements of Computational Statistics
    Preț: 68961 lei
  • Computer Intensive Methods in Statistics
    Preț: 37697 lei
  • 15% Computational Statistics
    Preț: 59393 lei
  • 15% Automatic Nonuniform Random Variate Generation
    Preț: 63386 lei
  • 15% Random Number Generation and Monte Carlo Methods
    Preț: 57711 lei
  • 18% Modern Applied Statistics with S
    Preț: 109533 lei
  • SAS for Data Analysis: Intermediate Statistical Methods
    Preț: 49338 lei
  • 18% Applied Statistical Learning: With Case Studies in Stata
    Preț: 72050 lei
  • 15% Branch-and-Bound Applications in Combinatorial Data Analysis
    Preț: 67986 lei

Preț: 62970 lei

Preț vechi: 74082 lei
-15% Nou

Puncte Express: 945
Preț estimativ în valută:
12055€ • 12531$ • 9995£

Carte tipărită la comandă

Livrare economică 05-19 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780387238173
ISBN-10: 0387238174
Pagini: 323
Ilustrații: XVI, 324 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.48 kg
Ediția:2005
Editura: Springer
Colecția Springer
Seria Statistics and Computing

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Recenzii

From the reviews:
"This book should be read by all statisticians, engineers, and scientists who want to implement an algorithm as a computer program. The book is the best introduction to programming that I have ever read. I value it as one of my important reference books in my personal library." Melvin J. Hinich for Techonmetrics, November 2006
"Overall, the book is well written and provides a reasonable introduction to the use of modern versions of Fortran for statistical computation. The real thrust of the book is building COM interfaces using Fortran, and it will no doubt be most useful to anyone who needs to build such interfaces." Journal of the American Statistical Association, June 2006
"The book is well written and is divided into chapters and sections which are coherent...Overall the book seems like a good resource for someone that already knows some dialect of FORTRAN and wants to learn a bit about what is new in FORTRAN 95..." Robert Gentleman for the Journal of Statistical Software, December 2006
"The purpose of this book is to help statisticians, (theory and) application-oriented developers, and researchers who need statistical computer programs to write a good FORTRAN program for the first time. Since good programming style can be taught and learned, the authors try for their potential readers to get into the experience of developing FORTRAN applications as quick, painless and rewarding as possible." (Silvia Curteanu, Zentralblatt MATH, Vol. 1076, 2006)
"This book is designed to teach applied statisticians how to write reliable, maintainable and re-usable programs using modern Fortran, and how to access these programs from other software. … I heartily recommend this book to anyone wishing to develop modern statistical software in Fortran – even those with considerable experience will learn something from it. For anyone used to writing long subroutines in FORTRAN 77, itshould be considered compulsory. The style is engaging … and the use of statistical examples and exercises very helpful." (Len Thomas, Journal of Applied Statistics, Vol. 34 (3), 2007)
"Fortran is still unrivalled with respect to computing speed. … Its aim is rather to present instructions for writing good programs. … The text is written very readably. The explanations always take place along well-chosen example applications. The book makes undoubtedly a persuasive case for choosing Fortran for programming statistical software. … it offers enough suggestions and instructions for creating good programs that it is to be recommended to all who program statistically." (Rainer Schlittgen, Advances in Statistical Analysis, Vol. 91, 2007)

Textul de pe ultima copertă

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 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.

Caracteristici

Help a statistician, methodologist, or statistically-oriented researcher write a good Fortram program the first time Includes supplementary material: sn.pub/extras