developing statistical software in fortran 95 statistics and computing

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Developing Statistical Software In Fortran 95

Author : David R. Lemmon
ISBN : 9780387281230
Genre : Computers
File Size : 89. 42 MB
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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

Computational Statistics

Author :
ISBN : 9780387981451
Genre : Mathematics
File Size : 29. 91 MB
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Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

Introductory Statistics With R

Author : Peter Dalgaard
ISBN : 0387790535
Genre : Mathematics
File Size : 58. 57 MB
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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

Matrix Algebra

Author : James E. Gentle
ISBN : 9780387708737
Genre : Mathematics
File Size : 45. 50 MB
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Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.

Journal Of Economic Literature

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ISBN : UCSD:31822032768913
Genre : Economics
File Size : 82. 25 MB
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Amstat News

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ISBN : UOM:39015059048804
Genre : Statistics
File Size : 83. 38 MB
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Author :
ISBN : UOM:49015003119501
Genre : Statistics
File Size : 59. 69 MB
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Government Reports Announcements

Author :
ISBN : MINN:30000010307985
Genre : Technology
File Size : 85. 79 MB
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Government Reports Announcements Index

Author :
ISBN : UIUC:30112026484375
Genre : Science
File Size : 36. 85 MB
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Computer Intelligent Processing Technologies Cipts

Author : Earth Observation Sciences Ltd
ISBN : 9291671142
Genre : Environmental sciences
File Size : 46. 83 MB
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