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Computer Based Numerical Statistical Techniques
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Book Synopsis Computer Based Numerical and Statistical Techniques by : Santosh Kumar Sengar
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
Book Synopsis Computer Based Numerical & Statistical Techniques by : Goyal
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:
Book Synopsis Computer Based Numerical & Statistical Techniques by : A. K. Jaiswal
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.
Book Synopsis COMPUTER BASED NUMERICAL AND STATISTICAL TECHNIQUES by : Rakesh Kumar
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.
Book Synopsis Computer Based Numerical & Statistical Techniques by : Manish Goyal
Download or read book Computer Based Numerical & Statistical Techniques written by Manish Goyal and published by . This book was released on 2006-01-01 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Based Numerical and Statistical Techniques by : Manish Goyal
Download or read book Computer Based Numerical and Statistical Techniques written by Manish Goyal and published by . This book was released on 2015 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Based Numerical & Statistical Techniques by :
Download or read book Computer Based Numerical & Statistical Techniques written by and published by Krishna Prakashan Media. This book was released on with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Based Numerical Methods and Statistical Techniques by : Pijus Kanti De
Download or read book Computer Based Numerical Methods and Statistical Techniques written by Pijus Kanti De and published by . This book was released on 2006-02-01 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Numerical Methods and Statistical Techniques Using 'C' by : Manish Goyal
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:
Book Synopsis COMPUTER ORIENTED NUMERICAL METHODS by : RAJARAMAN, V.
Download or read book COMPUTER ORIENTED NUMERICAL METHODS written by RAJARAMAN, V. and published by PHI Learning Pvt. Ltd.. This book was released on 2018-11-01 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a concise and lucid introduction to computer oriented numerical methods with well-chosen graphical illustrations that give an insight into the mechanism of various methods. The book develops computational algorithms for solving non-linear algebraic equation, sets of linear equations, curve-fitting, integration, differentiation, and solving ordinary differential equations. OUTSTANDING FEATURES • Elementary presentation of numerical methods using computers for solving a variety of problems for students who have only basic level knowledge of mathematics. • Geometrical illustrations used to explain how numerical algorithms are evolved. • Emphasis on implementation of numerical algorithm on computers. • Detailed discussion of IEEE standard for representing floating point numbers. • Algorithms derived and presented using a simple English based structured language. • Truncation and rounding errors in numerical calculations explained. • Each chapter starts with learning goals and all methods illustrated with numerical examples. • Appendix gives pointers to open source libraries for numerical computation.
Book Synopsis Numerical Analysis for Statisticians by : Kenneth Lange
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.
Book Synopsis Numerical Methods of Statistics by : John F. Monahan
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.
Book Synopsis Computer Based Numerical and Statistical Techniques by : Kumar Santosh
Download or read book Computer Based Numerical and Statistical Techniques written by Kumar Santosh and published by S. Chand Publishing. This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contents of this book have numerous distinguishing features over the already existing textbooks on the same topic.The contents of the book have been organized in a logical order and the topics are discussed in a systematic manner.The Book is designed as a textbook on computational numarical methods for the students of engineering,mathematics,BCA,MCA of different technical universities.
Book Synopsis Computational Methods for Numerical Analysis with R by : James P Howard, II
Download or read book Computational Methods for Numerical Analysis with R written by James P Howard, II and published by CRC Press. This book was released on 2017-07-12 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.
Book Synopsis Elements of Statistical Computing by : R.A. Thisted
Download or read book Elements of Statistical Computing written by R.A. Thisted and published by Routledge. This book was released on 2017-10-19 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.
Book Synopsis Computer Based Numerical And Statistical Techniques by : P. K. Mittal
Download or read book Computer Based Numerical And Statistical Techniques written by P. K. Mittal and published by Galgotia Publications. This book was released on with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Numerical Issues in Statistical Computing for the Social Scientist by : Micah Altman
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 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: At last—a social scientist's guide through the pitfalls ofmodern statistical computing Addressing the current deficiency in the literature onstatistical methods as they apply to the social and behavioralsciences, Numerical Issues in Statistical Computing for the SocialScientist seeks to provide readers with a unique practicalguidebook to the numerical methods underlying computerizedstatistical calculations specific to these fields. The authorsdemonstrate that knowledge of these numerical methods and how theyare used in statistical packages is essential for making accurateinferences. With the aid of key contributors from both the socialand behavioral sciences, the authors have assembled a rich set ofinterrelated chapters designed to guide empirical social scientiststhrough the potential minefield of modern statisticalcomputing. Uniquely accessible and abounding in modern-day tools, tricks,and advice, the text successfully bridges the gap between thecurrent level of social science methodology and the moresophisticated technical coverage usually associated with thestatistical field. Highlights include: A focus on problems occurring in maximum likelihoodestimation Integrated examples of statistical computing (using softwarepackages 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 intensivestatistical approaches such as ecological inference, Markov chainMonte Carlo, and spatial regression analysis Emphasis on specific numerical problems, statisticalprocedures, and their applications in the field Replications and re-analysis of published social scienceresearch, using innovative numerical methods Key numerical estimation issues along with the means ofavoiding common pitfalls A related Web site includes test data for use in demonstratingnumerical problems, code for applying the original methodsdescribed in the book, and an online bibliography of Web resourcesfor the statistical computation Designed as an independent research tool, a professionalreference, or a classroom supplement, the book presents awell-thought-out treatment of a complex and multifaceted field.