Statistical Methods And Numerical Analysis

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Numerical Analysis for Statisticians

Author : Kenneth Lange
Publisher : Springer Science & Business Media
ISBN 13 : 1441959459
Total Pages : 606 pages
Book Rating : 4.4/5 (419 download)

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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.

Numerical Analysis & Statistical Methods

Author :
Publisher : Academic Publishers
ISBN 13 : 9380599293
Total Pages : 491 pages
Book Rating : 4.3/5 (85 download)

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Book Synopsis Numerical Analysis & Statistical Methods by :

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:

Numerical Methods of Statistics

Author : John F. Monahan
Publisher : Cambridge University Press
ISBN 13 : 1139498002
Total Pages : 465 pages
Book Rating : 4.1/5 (394 download)

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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.

Computer Based Numerical & Statistical Techniques

Author : Goyal
Publisher : Firewall Media
ISBN 13 : 9788170087830
Total Pages : 612 pages
Book Rating : 4.0/5 (878 download)

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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:

Computational Methods for Numerical Analysis with R

Author : James P Howard, II
Publisher : CRC Press
ISBN 13 : 1498723640
Total Pages : 257 pages
Book Rating : 4.4/5 (987 download)

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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.

Numerical Methods of Statistics

Author : John F. Monahan
Publisher : Cambridge University Press
ISBN 13 : 9780521791687
Total Pages : 446 pages
Book Rating : 4.7/5 (916 download)

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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 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.

An Introduction to Numerical Methods and Analysis

Author : James F. Epperson
Publisher : John Wiley & Sons
ISBN 13 : 1118626230
Total Pages : 579 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis An Introduction to Numerical Methods and Analysis by : James F. Epperson

Download or read book An Introduction to Numerical Methods and Analysis written by James F. Epperson and published by John Wiley & Sons. This book was released on 2013-06-06 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition ". . . outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises." —Zentrablatt Math ". . . carefully structured with many detailed worked examples . . ." —The Mathematical Gazette ". . . an up-to-date and user-friendly account . . ." —Mathematika An Introduction to Numerical Methods and Analysis addresses the mathematics underlying approximation and scientific computing and successfully explains where approximation methods come from, why they sometimes work (or don't work), and when to use one of the many techniques that are available. Written in a style that emphasizes readability and usefulness for the numerical methods novice, the book begins with basic, elementary material and gradually builds up to more advanced topics. A selection of concepts required for the study of computational mathematics is introduced, and simple approximations using Taylor's Theorem are also treated in some depth. The text includes exercises that run the gamut from simple hand computations, to challenging derivations and minor proofs, to programming exercises. A greater emphasis on applied exercises as well as the cause and effect associated with numerical mathematics is featured throughout the book. An Introduction to Numerical Methods and Analysis is the ideal text for students in advanced undergraduate mathematics and engineering courses who are interested in gaining an understanding of numerical methods and numerical analysis.

Numerical Analysis for Statisticians

Author : Kenneth Lange
Publisher : Springer Science & Business Media
ISBN 13 : 1441959440
Total Pages : 606 pages
Book Rating : 4.4/5 (419 download)

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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 2010-06-15 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.

Numerical and Statistical Methods with SCILAB for Science and Engineering

Author : Gilberto E. Urroz
Publisher :
ISBN 13 :
Total Pages : 606 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Numerical and Statistical Methods with SCILAB for Science and Engineering by : Gilberto E. Urroz

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/)

Statistical Methods and Numerical Analysis

Author : Dr.M.Kameswari
Publisher : Leilani Katie Publication
ISBN 13 : 9363487822
Total Pages : 202 pages
Book Rating : 4.3/5 (634 download)

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Book Synopsis Statistical Methods and Numerical Analysis by : Dr.M.Kameswari

Download or read book Statistical Methods and Numerical Analysis written by Dr.M.Kameswari and published by Leilani Katie Publication. This book was released on 2024-05-14 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.M.Kameswari, Associate Professor & Head, Department of Mathematics, School of Advanced Sciences, Kalasalingam Academy of Research & Education, Krishnankoil, Srivilliputhur, Virudhunagar,Tamil Nadu, India. Dr.A.Antony Mary, Assistant Professor, Department of Mathematics, SRM Institute of Science and Technology, Tiruchirappalli, Tamil Nadu, India. Dr.M.S.Muthuraman, Professor, Department of Mathematics, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India. Mrs.R.Latha, Assistant Professor, Department of Mathematics,K.S.R. College of Engineering( Autonomous), Tiruchengode, Namakkal, Tamil Nadu, India.

Mathematical and Statistical Methods in Food Science and Technology

Author : Daniel Granato
Publisher : John Wiley & Sons
ISBN 13 : 1118433688
Total Pages : 540 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Mathematical and Statistical Methods in Food Science and Technology by : Daniel Granato

Download or read book Mathematical and Statistical Methods in Food Science and Technology written by Daniel Granato and published by John Wiley & Sons. This book was released on 2014-03-03 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.

Numerical and Statistical Methods for Bioengineering

Author : Michael R. King
Publisher : Cambridge University Press
ISBN 13 : 9780521871587
Total Pages : 594 pages
Book Rating : 4.8/5 (715 download)

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Book Synopsis Numerical and Statistical Methods for Bioengineering by : Michael R. King

Download or read book Numerical and Statistical Methods for Bioengineering written by Michael R. King and published by Cambridge University Press. This book was released on 2010-11-04 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

C Programming: The Essentials for Engineers and Scientists

Author : David R. Brooks
Publisher : Springer Science & Business Media
ISBN 13 : 146121484X
Total Pages : 490 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis C Programming: The Essentials for Engineers and Scientists by : David R. Brooks

Download or read book C Programming: The Essentials for Engineers and Scientists written by David R. Brooks and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text teaches the essentials of C programming, concentrating on what readers need to know in order to produce stand-alone programs and so solve typical scientific and engineering problems. It is a learning-by-doing book, with many examples and exercises, and lays a foundation of scientific programming concepts and techniques that will prove valuable for those who might eventually move on to another language. Written for undergraduates who are familiar with computers and typical applications but are new to programming.

Numerical Methods and Statistical Techniques Using 'C'

Author : Manish Goyal
Publisher : Laxmi Publications
ISBN 13 : 9788131805220
Total Pages : 814 pages
Book Rating : 4.8/5 (52 download)

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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:

Numerical Issues in Statistical Computing for the Social Scientist

Author : Micah Altman
Publisher : John Wiley & Sons
ISBN 13 : 0471475742
Total Pages : 323 pages
Book Rating : 4.4/5 (714 download)

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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.

Computer Based Numerical and Statistical Techniques

Author : Santosh Kumar Sengar
Publisher : S. Chand Publishing
ISBN 13 : 9352833988
Total Pages : pages
Book Rating : 4.3/5 (528 download)

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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

Elements of Statistical Computing

Author : R.A. Thisted
Publisher : Routledge
ISBN 13 : 1351452754
Total Pages : 448 pages
Book Rating : 4.3/5 (514 download)

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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.