Close this alert
Developing Statistical Software in FORTRAN 95 (Statistics and Computing)
Current price:
$109.99
This product is not returnable.
Publication Date: May 6th, 2005
Publisher:
Springer
ISBN:
9780387238173
Pages:
324
Usually Ships in 1 to 5 Days
Description
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.
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.
Other Books in Series
A First Course in Statistical Learning: With Data Examples and Python Code (Statistics and Computing)
Hardcover
Applied Statistical Learning: With Case Studies in Stata (Statistics and Computing)
Hardcover
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
Hardcover
Basic Elements of Computational Statistics (Statistics and Computing)
Hardcover
Automatic Nonuniform Random Variate Generation (Statistics and Computing)
Hardcover
Applied Quantitative Finance (Statistics and Computing)
Hardcover
Elements of Computational Statistics (Statistics and Computing)
Paperback
SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)
Paperback
Random Number Generation and Monte Carlo Methods (Statistics and Computing)
Hardcover
S Programming (Statistics and Computing)
Hardcover
Computational Statistics (Statistics and Computing)
Hardcover
A Sas/IML Companion for Linear Models (Statistics and Computing)
Paperback
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Paperback
Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications (Statistics and Computing)
Hardcover
R for Stata Users (Statistics and Computing)
Hardcover
Elements of Computational Statistics (Statistics and Computing)
Hardcover
R for Stata Users (Statistics and Computing)
Paperback
Software for Data Analysis: Programming with R (Statistics and Computing)
Paperback
R for SAS and SPSS Users (Statistics and Computing)
Paperback