[PDF] Developing Statistical Software In Fortran 95

Developing Statistical Software in Fortran 95 PDF
Author: David R. Lemmon
Publisher: Springer Science & Business Media
ISBN: 9780387238173
Size: 21.82 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 324
View: 4246

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Developing Statistical Software In Fortran 95

by David R. Lemmon, release date 2005-05-06, Developing Statistical Software In Fortran 95 Books available in PDF, EPUB, Mobi Format. Download Developing Statistical Software In Fortran 95 books, 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




[PDF] Developing Statistical Software In Fortran 95

Developing Statistical Software in Fortran 95 PDF
Author: David R. Lemmon
Publisher: Springer
ISBN: 9780387503820
Size: 13.18 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 324
View: 5413

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Developing Statistical Software In Fortran 95

by David R. Lemmon, release date 2008-11-01, Developing Statistical Software In Fortran 95 Books available in PDF, EPUB, Mobi Format. Download Developing Statistical Software In Fortran 95 books, 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




[PDF] Developing Statistical Software In Fortran 95

Developing Statistical Software in Fortran 95 PDF
Author: David R. Lemmon
Publisher: Springer Science & Business Media
ISBN: 0387281231
Size: 53.48 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 324
View: 1277

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Developing Statistical Software In Fortran 95

by David R. Lemmon, release date 2005-12-17, Developing Statistical Software In Fortran 95 Books available in PDF, EPUB, Mobi Format. Download Developing Statistical Software In Fortran 95 books, 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




[PDF] The Grammar Of Graphics

The Grammar of Graphics PDF
Author: Leland Wilkinson
Publisher: Springer Science & Business Media
ISBN: 9780387245447
Size: 34.64 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 691
View: 633

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The Grammar Of Graphics

by Leland Wilkinson, release date 2005-07-15, The Grammar Of Graphics Books available in PDF, EPUB, Mobi Format. Download The Grammar Of Graphics books, Presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems The new edition features six new chapters and has undergone substantial revision. The first edition has sold more than 2200 copies. Four color throughout.




[PDF] Strength In Numbers The Rising Of Academic Statistics Departments In The U S

Strength in Numbers  The Rising of Academic Statistics Departments in the U  S  PDF
Author: Alan Agresti
Publisher: Springer Science & Business Media
ISBN: 1461436494
Size: 26.28 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 564
View: 3423

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Strength In Numbers The Rising Of Academic Statistics Departments In The U S

by Alan Agresti, release date 2012-11-02, Strength In Numbers The Rising Of Academic Statistics Departments In The U S Books available in PDF, EPUB, Mobi Format. Download Strength In Numbers The Rising Of Academic Statistics Departments In The U S books, Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.




[PDF] Matrix Algebra

Matrix Algebra PDF
Author: James E. Gentle
Publisher: Springer Science & Business Media
ISBN: 0387708731
Size: 70.47 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 530
View: 476

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Matrix Algebra

by James E. Gentle, release date 2007-08-06, Matrix Algebra Books available in PDF, EPUB, Mobi Format. Download Matrix Algebra books, 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.




[PDF] Branch And Bound Applications In Combinatorial Data Analysis

Branch and Bound Applications in Combinatorial Data Analysis PDF
Author: Michael J. Brusco
Publisher: Springer Science & Business Media
ISBN: 0387288104
Size: 42.87 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 222
View: 1584

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Branch And Bound Applications In Combinatorial Data Analysis

by Michael J. Brusco, release date 2006-03-22, Branch And Bound Applications In Combinatorial Data Analysis Books available in PDF, EPUB, Mobi Format. Download Branch And Bound Applications In Combinatorial Data Analysis books, This book provides clear explanatory text, illustrative mathematics and algorithms, demonstrations of the iterative process, pseudocode, and well-developed examples for applications of the branch-and-bound paradigm to important problems in combinatorial data analysis. Supplementary material, such as computer programs, are provided on the world wide web. Dr. Brusco is an editorial board member for the Journal of Classification, and a member of the Board of Directors for the Classification Society of North America.




[PDF] Software For Data Analysis

Software for Data Analysis PDF
Author: John Chambers
Publisher: Springer Science & Business Media
ISBN: 9780387759364
Size: 47.14 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 500
View: 5565

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Software For Data Analysis

by John Chambers, release date 2008-06-14, Software For Data Analysis Books available in PDF, EPUB, Mobi Format. Download Software For Data Analysis books, John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.




[PDF] Introductory Statistics With R

Introductory Statistics with R PDF
Author: Peter Dalgaard
Publisher: Springer Science & Business Media
ISBN: 0387790543
Size: 11.38 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 364
View: 5968

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Introductory Statistics With R

by Peter Dalgaard, release date 2008-06-27, Introductory Statistics With R Books available in PDF, EPUB, Mobi Format. Download Introductory Statistics With R books, 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.




[PDF] Modern Applied Statistics With S

Modern Applied Statistics with S PDF
Author: W.N. Venables
Publisher: Springer Science & Business Media
ISBN: 0387217061
Size: 57.55 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 498
View: 1792

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Modern Applied Statistics With S

by W.N. Venables, release date 2013-03-09, Modern Applied Statistics With S Books available in PDF, EPUB, Mobi Format. Download Modern Applied Statistics With S books, A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.