Statistical Methods For Digital Computers PDF Download
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Author | : Anthony Ralston |
Publisher | : John Wiley & Sons |
Total Pages | : 468 |
Release | : 1960 |
Genre | : Computers |
ISBN | : 9780471706908 |
Download Mathematical Methods for Digital Computers Book in PDF, ePub and Kindle
Author | : Anthony Ralston |
Publisher | : |
Total Pages | : 318 |
Release | : 1960 |
Genre | : Computers |
ISBN | : |
Download Mathematical Methods for Digital Computers Book in PDF, ePub and Kindle
Author | : James E. Gentle |
Publisher | : Springer Science & Business Media |
Total Pages | : 732 |
Release | : 2009-07-28 |
Genre | : Mathematics |
ISBN | : 0387981446 |
Download Computational Statistics Book in PDF, ePub and Kindle
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.
Author | : Silvelyn Zwanzig |
Publisher | : CRC Press |
Total Pages | : 227 |
Release | : 2019-11-27 |
Genre | : Business & Economics |
ISBN | : 0429510942 |
Download Computer Intensive Methods in Statistics Book in PDF, ePub and Kindle
This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density estimators, kernel estimators, orthogonal and local polynomial estimators, wavelet estimators, splines, and model assessment. Computer Intensive Methods in Statistics is written for students at graduate level, but can also be used by practitioners. Features Presents the main ideas of computer-intensive statistical methods Gives the algorithms for all the methods Uses various plots and illustrations for explaining the main ideas Features the theoretical backgrounds of the main methods. Includes R codes for the methods and examples Silvelyn Zwanzig is an Associate Professor for Mathematical Statistics at Uppsala University. She studied Mathematics at the Humboldt- University in Berlin. Before coming to Sweden, she was Assistant Professor at the University of Hamburg in Germany. She received her Ph.D. in Mathematics at the Academy of Sciences of the GDR. Since 1991, she has taught Statistics for undergraduate and graduate students. Her research interests have moved from theoretical statistics to computer intensive statistics. Behrang Mahjani is a postdoctoral fellow with a Ph.D. in Scientific Computing with a focus on Computational Statistics, from Uppsala University, Sweden. He joined the Seaver Autism Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, in September 2017 and was formerly a postdoctoral fellow at the Karolinska Institutet, Stockholm, Sweden. His research is focused on solving large-scale problems through statistical and computational methods.
Author | : |
Publisher | : |
Total Pages | : 287 |
Release | : 1966 |
Genre | : |
ISBN | : |
Download MATHEMATICAL Methods for Digital Computers Book in PDF, ePub and Kindle
Author | : WIlliam J. Kennedy |
Publisher | : Routledge |
Total Pages | : 360 |
Release | : 2021-06-23 |
Genre | : Mathematics |
ISBN | : 1351414585 |
Download Statistical Computing Book in PDF, ePub and Kindle
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." ---Mathematics of Computation ." The text is highly readable and well illustrated with examples. The reader who intends to take a hand in designing his own regression and multivariate packages will find a storehouse of information and a valuable resource in the field of statistical computing.
Author | : Anthony Ralston |
Publisher | : |
Total Pages | : 472 |
Release | : 1977 |
Genre | : Computer science |
ISBN | : |
Download Mathematical Methods for Digital Computers Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 1464 |
Release | : 1966 |
Genre | : Water resources development |
ISBN | : |
Download Water Resources Research Catalog Book in PDF, ePub and Kindle
Author | : Jessica Fridrich |
Publisher | : Springer |
Total Pages | : 379 |
Release | : 2004-12-07 |
Genre | : Computers |
ISBN | : 3540301143 |
Download Information Hiding Book in PDF, ePub and Kindle
It is an honor and great pleasure to write a preface for this postproceedings of the 6th International Workshop on Information Hiding. In the past 10 years, the field of data hiding has been maturing and expanding, gradually establishing its place as an active interdisciplinary research area uniquely combining information theory, cryptology, and signal processing. This year, the workshop was followed by the Privacy Enhancing Technologies workshop (PET) hosted at the same location. Delegates viewed this connection as fruitful as it gave both communities a convenient opportunity to interact. We would like to thank all authors who submitted their work for consideration. Out of the 70 submisions received by the program committee, 25 papers were accepted for publication based on their novelty, originality, and scientific merit. We strived to achieve a balanced exposition of papers that would represent many different aspects of information hiding. All papers were divided into eight sessions: digital media watermarking, steganalysis, digital forensics, steganography, software watermarking, security and privacy, anonymity, and data hiding in unusual content. This year, the workshop included a one-hour rump session that offered an opportunity to the delegates to share their work in progress and other brief but interesting contributions.
Author | : R.G. Davies |
Publisher | : Elsevier |
Total Pages | : 505 |
Release | : 2012-12-02 |
Genre | : Reference |
ISBN | : 0323147879 |
Download Computer Programming in Quantitative Biology Book in PDF, ePub and Kindle
Computer Programming in Quantitative Biology covers the general background of Fortran coding and the more sophisticated computer programs likely to be encountered in quantitative biology. It discusses the application of over 40 appropriate and easily adaptable programming techniques to problems of major biological interest. Organized into 15 chapters, the book starts by providing an introductory outline of computer structure and function needed to appreciate many basic programming procedures. A chapter discusses some general principles underlying Fortran coding and the use of digital computers, with emphasis on major features of Fortran IV. Other chapters present short introduction to the statistical or mathematical techniques in each of the main sections under which program are described. These chapters also provide some aspects of matrix algebra that are essential for serious statistical programming and offer a general guide to efficiency in programming. All complete programs are accompanied by a flowchart and a detailed discussion. This book is a valuable source of information for biologists, computational biologists, research biologists, undergraduate students, and advanced or specialized students of biology.