Download or read book A Handbook of Numerical and Statistical Techniques written by J. H. Pollard and published by . This book was released on 1981 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Handbook of Numerical and Statistical Techniques written by J. H. Pollard and published by CUP Archive. This book was released on 1977 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is designed for experimental scientists, particularly those in the life sciences. It is for the non-specialist, and although it assumes only a little knowledge of statistics and mathematics, those with a deeper understanding will also find it useful. The book is directed at the scientist who wishes to solve his numerical and statistical problems on a programmable calculator, mini-computer or interactive terminal. The volume is also useful for the user of full-scale computer systems in that it describes how the large computer solves numerical and statistical problems. The book is divided into three parts. Part I deals with numerical techniques and Part II with statistical techniques. Part III is devoted to the method of least squares which can be regarded as both a statistical and numerical method. The handbook shows clearly how each calculation is performed. Each technique is illustrated by at least one example and there are worked examples and exercises throughout the volume.
Download or read book Computer Based Numerical Statistical Techniques written by Goyal and published by Firewall Media. This book was released on 2005 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book COMPUTER BASED NUMERICAL AND STATISTICAL TECHNIQUES written by Rakesh Kumar and published by CBS Publishers & Distributors Private Limited. This book was released on 2018-01-30 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces subject techniques to approximate mathematical procedures/solutions of problems that arise in science and engineering. It handles carefully a detailed elucidation of errors in numerical analysis. It aims to fully cater to the needs of students of the courses: BSc/MSc (mathematics and physics), BSc (computer science), BTech (all courses in engineering) and MCA.
Download or read book Numerical Analysis Statistical Methods written by and published by Academic Publishers. This book was released on with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Numerical Methods of Statistics written by John F. Monahan and published by Cambridge University Press. This book was released on 2011-04-18 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder–Mead search algorithm.
Download or read book Numerical Methods and Statistical Techniques Using C written by Manish Goyal and published by Laxmi Publications. This book was released on 2009 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Based Numerical and Statistical Techniques written by Santosh Kumar Sengar and published by S. Chand Publishing. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Based Numerical and Statistical Techniques has been written to provide fundamental introduction of numerical analysis for the students who take a course on Engineering Mathematics and for the students of computer science engineering. The book has been divided into 14 chapters covering all important aspects starting from high speed computation to Interpolation and Curve Fitting to Numerical Integration and Differentiation and finally focusing on Test of Significance
Download or read book A Handbook of Numerical and Statistical Techniques with Examples Mainly from the Life Sciences Numerical and Statistical Techn written by J. H. Pollard and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Numerical and Statistical Methods with SCILAB for Science and Engineering written by Gilberto E. Urroz and published by . This book was released on 2001 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/)
Download or read book A Handbook of numerical and statistical techniques with examples mainly from the life sciences written by and published by . This book was released on 1977 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Numerical Analysis for Statisticians written by Kenneth Lange and published by Springer Science & Business Media. This book was released on 2010-05-17 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Download or read book A handbook of numerical statistical techniques written by J. H. Pollard and published by . This book was released on 1977 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Numerical Methods of Statistics written by John F. Monahan and published by Cambridge University Press. This book was released on 2001-02-05 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2001 book provides a basic background in numerical analysis and its applications in statistics.
Download or read book Numerical Issues in Statistical Computing for the Social Scientist written by Micah Altman and published by John Wiley & Sons. This book was released on 2004-02-15 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled a rich set of interrelated chapters designed to guide empirical social scientists through the potential minefield of modern statistical computing. Uniquely accessible and abounding in modern-day tools, tricks, and advice, the text successfully bridges the gap between the current level of social science methodology and the more sophisticated technical coverage usually associated with the statistical field. Highlights include: A focus on problems occurring in maximum likelihood estimation Integrated examples of statistical computing (using software packages such as the SAS, Gauss, Splus, R, Stata, LIMDEP, SPSS, WinBUGS, and MATLAB®) A guide to choosing accurate statistical packages Discussions of a multitude of computationally intensive statistical approaches such as ecological inference, Markov chain Monte Carlo, and spatial regression analysis Emphasis on specific numerical problems, statistical procedures, and their applications in the field Replications and re-analysis of published social science research, using innovative numerical methods Key numerical estimation issues along with the means of avoiding common pitfalls A related Web site includes test data for use in demonstrating numerical problems, code for applying the original methods described in the book, and an online bibliography of Web resources for the statistical computation Designed as an independent research tool, a professional reference, or a classroom supplement, the book presents a well-thought-out treatment of a complex and multifaceted field.
Download or read book C Programming written by Madhumangal Pal and published by Alpha Science International, Limited. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes exercises at the end of chapters to help develop C programming skills.
Download or read book Computer Based Numerical Statistical Techniques written by A. K. Jaiswal and published by New Age International. This book was released on 2009 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book: Application of Numerical Analysis has become an integral part of the life of all the modern engineers and scientists. The contents of this book covers both the introductory topics and the more advanced topics such as partial differential equations. This book is different from many other books in a number of ways. Salient Features: Mathematical derivation of each method is given to build the students understanding of numerical analysis. A variety of solved examples are given. Computer programs for almost all numerical methods discussed have been presented in C̀ ̀langu.
