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Author : J. H. Pollard
Publisher : Unknown
Page : 128 pages
File Size : 55,9 Mb
Release : 1981
Category : Electronic
ISBN : OCLC:464073409
Author : J. H. Pollard
Publisher : CUP Archive
Page : 372 pages
File Size : 46,7 Mb
Release : 1977
Category : Mathematics
ISBN : 0521297508
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.
Author : Goyal
Publisher : Firewall Media
Page : 612 pages
File Size : 48,8 Mb
Release : 2005
Category : Electronic
ISBN : 817008783X
Author : Rakesh Kumar,Kamlendra Kumar
Publisher : CBS Publishers & Distributors Private Limited
Page : 11 pages
File Size : 50,5 Mb
Release : 2018-01-30
Category : Electronic
ISBN : 9789387085121
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.
Author : Anonim
Publisher : Academic Publishers
Page : 491 pages
File Size : 43,7 Mb
Release : 2024-06-02
Category : Electronic
ISBN : 9789380599298
Author : Santosh Kumar Sengar
Publisher : S. Chand Publishing
Page : 128 pages
File Size : 41,5 Mb
Release : 2024-06-02
Category : Electronic
ISBN : 9789352833986
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
Author : A. K. Jaiswal
Publisher : New Age International
Page : 42 pages
File Size : 44,6 Mb
Release : 2009
Category : Numerical analysis
ISBN : 9788122424669
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.
Author : John F. Monahan
Publisher : Cambridge University Press
Page : 465 pages
File Size : 41,6 Mb
Release : 2011-04-18
Category : Computers
ISBN : 9781139498005
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.
Author : Manish Goyal
Publisher : Laxmi Publications
Page : 814 pages
File Size : 50,8 Mb
Release : 2009
Category : C (Computer program language)
ISBN : 8131805220
Author : John F. Monahan
Publisher : Cambridge University Press
Page : 446 pages
File Size : 52,5 Mb
Release : 2001-02-05
Category : Computers
ISBN : 0521791685
This 2001 book provides a basic background in numerical analysis and its applications in statistics.
Author : Manish Goyal
Publisher : Unknown
Page : 588 pages
File Size : 55,8 Mb
Release : 2015
Category : Engineering mathematics
ISBN : 9381159270
Author : David J. Smith
Publisher : CRC Press
Page : 91 pages
File Size : 40,6 Mb
Release : 2021-10-25
Category : Business & Economics
ISBN : 9781000469585
We are bombarded with statistical data each and every day, and healthcare professionals are no exception. All sectors of healthcare rely on data provided by insurance companies, consultants, research firms, and government to help them make a host of decisions regarding the delivery of medical services. But while these health professionals rely on data, do they really make the best use of the information? Not if they fail to understand whether the assumptions behind the formulas generating the numbers make sense. Not if they don’t understand that the world of healthcare is flooded with inaccurate, misleading, and even dangerous statistics. The purpose of this book is to provide members of medical and other professions, including scientists and engineers, with a basic understanding of statistics and probability together with an explanation and worked examples of the techniques. It does not seek to confuse the reader with in-depth mathematics but provides basic methods for interpreting data and making inferences. The worked examples are medically based, but the principles apply to the analysis of any numerical data.
Author : James P Howard, II
Publisher : CRC Press
Page : 257 pages
File Size : 48,8 Mb
Release : 2017-07-12
Category : Mathematics
ISBN : 9781498723640
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.
Author : Gilberto E. Urroz
Publisher : Unknown
Page : 606 pages
File Size : 42,6 Mb
Release : 2001
Category : Engineering
ISBN : UCSD:31822031271356
Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/)
Author : Kenneth Lange
Publisher : Springer Science & Business Media
Page : 606 pages
File Size : 41,6 Mb
Release : 2010-05-17
Category : Business & Economics
ISBN : 9781441959454
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.