Numerical Methods Of Statistics

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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.

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 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.

Numerical Issues in Statistical Computing for the Social Scientist

Author : Micah Altman
Publisher : John Wiley & Sons
ISBN 13 : 0471475742
Total Pages : 349 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 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.

A Handbook of Numerical and Statistical Techniques

Author : J. H. Pollard
Publisher : CUP Archive
ISBN 13 : 9780521297509
Total Pages : 372 pages
Book Rating : 4.2/5 (975 download)

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Book Synopsis A Handbook of Numerical and Statistical Techniques by : J. H. Pollard

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.

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.

Elements of Statistical Computing

Author : R.A. Thisted
Publisher : Routledge
ISBN 13 : 1351452746
Total Pages : 456 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 456 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.

Computational Statistics

Author : Geof H. Givens
Publisher : John Wiley & Sons
ISBN 13 : 1118555481
Total Pages : 496 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Computational Statistics by : Geof H. Givens

Download or read book Computational Statistics written by Geof H. Givens and published by John Wiley & Sons. This book was released on 2012-10-09 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

Advances in Numerical Analysis Emphasizing Interval Data

Author : Tofigh Allahviranloo
Publisher : CRC Press
ISBN 13 : 1000540316
Total Pages : 135 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Advances in Numerical Analysis Emphasizing Interval Data by : Tofigh Allahviranloo

Download or read book Advances in Numerical Analysis Emphasizing Interval Data written by Tofigh Allahviranloo and published by CRC Press. This book was released on 2022-02-18 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical analysis forms a cornerstone of numeric computing and optimization, in particular recently, interval numerical computations play an important role in these topics. The interest of researchers in computations involving uncertain data, namely interval data opens new avenues in coping with real-world problems and deliver innovative and efficient solutions. This book provides the basic theoretical foundations of numerical methods, discusses key technique classes, explains improvements and improvements, and provides insights into recent developments and challenges. The theoretical parts of numerical methods, including the concept of interval approximation theory, are introduced and explained in detail. In general, the key features of the book include an up-to-date and focused treatise on error analysis in calculations, in particular the comprehensive and systematic treatment of error propagation mechanisms, considerations on the quality of data involved in numerical calculations, and a thorough discussion of interval approximation theory. Moreover, this book focuses on approximation theory and its development from the perspective of linear algebra, and new and regular representations of numerical integration and their solutions are enhanced by error analysis as well. The book is unique in the sense that its content and organization will cater to several audiences, in particular graduate students, researchers, and practitioners.

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.

Data Analysis

Author : Siegmund Brandt
Publisher : Springer Science & Business Media
ISBN 13 : 3319037625
Total Pages : 532 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Data Analysis by : Siegmund Brandt

Download or read book Data Analysis written by Siegmund Brandt and published by Springer Science & Business Media. This book was released on 2014-02-14 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.

Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners

Author : Marcos von Sperling
Publisher : IWA Publishing
ISBN 13 : 1780409311
Total Pages : 668 pages
Book Rating : 4.7/5 (84 download)

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Book Synopsis Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners by : Marcos von Sperling

Download or read book Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners written by Marcos von Sperling and published by IWA Publishing. This book was released on 2020-01-15 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basic principles for evaluating water quality and treatment plant performance in a clear, innovative and didactic way, using a combined approach that involves the interpretation of monitoring data associated with (i) the basic processes that take place in water bodies and in water and wastewater treatment plants and (ii) data management and statistical calculations to allow a deep interpretation of the data. This book is problem-oriented and works from practice to theory, covering most of the information you will need, such as (a) obtaining flow data and working with the concept of loading, (b) organizing sampling programmes and measurements, (c) connecting laboratory analysis to data management, (e) using numerical and graphical methods for describing monitoring data (descriptive statistics), (f) understanding and reporting removal efficiencies, (g) recognizing symmetry and asymmetry in monitoring data (normal and log-normal distributions), (h) evaluating compliance with targets and regulatory standards for effluents and water bodies, (i) making comparisons with the monitoring data (tests of hypothesis), (j) understanding the relationship between monitoring variables (correlation and regression analysis), (k) making water and mass balances, (l) understanding the different loading rates applied to treatment units, (m) learning the principles of reaction kinetics and reactor hydraulics and (n) performing calibration and verification of models. The major concepts are illustrated by 92 fully worked-out examples, which are supported by 75 freely-downloadable Excel spreadsheets. Each chapter concludes with a checklist for your report. If you are a student, researcher or practitioner planning to use or already using treatment plant and water quality monitoring data, then this book is for you! 75 Excel spreadsheets are available to download.

Numerical Methods of Statistics

Author : John Monahan
Publisher :
ISBN 13 : 9781107665934
Total Pages : pages
Book Rating : 4.6/5 (659 download)

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Book Synopsis Numerical Methods of Statistics by : John Monahan

Download or read book Numerical Methods of Statistics written by John Monahan and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

Author : Rudolf Frühwirth
Publisher : Springer Nature
ISBN 13 : 303065771X
Total Pages : 208 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors by : Rudolf Frühwirth

Download or read book Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors written by Rudolf Frühwirth and published by Springer Nature. This book was released on 2021 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.

Numerical Methods in Finance

Author : L. C. G. Rogers
Publisher : Cambridge University Press
ISBN 13 : 9780521573542
Total Pages : 348 pages
Book Rating : 4.5/5 (735 download)

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Book Synopsis Numerical Methods in Finance by : L. C. G. Rogers

Download or read book Numerical Methods in Finance written by L. C. G. Rogers and published by Cambridge University Press. This book was released on 1997-06-26 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Methods in Finance describes a wide variety of numerical methods used in financial analysis.

Numerical Methods for Engineers and Scientists

Author : Joe D. Hoffman
Publisher : CRC Press
ISBN 13 : 1482270609
Total Pages : 840 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Numerical Methods for Engineers and Scientists by : Joe D. Hoffman

Download or read book Numerical Methods for Engineers and Scientists written by Joe D. Hoffman and published by CRC Press. This book was released on 2018-10-03 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing the finite difference approach for solving differential equations, the second edition of Numerical Methods for Engineers and Scientists presents a methodology for systematically constructing individual computer programs. Providing easy access to accurate solutions to complex scientific and engineering problems, each chapter begins with objectives, a discussion of a representative application, and an outline of special features, summing up with a list of tasks students should be able to complete after reading the chapter- perfect for use as a study guide or for review. The AIAA Journal calls the book "...a good, solid instructional text on the basic tools of numerical analysis."

Computational Statistics

Author : James E. Gentle
Publisher : Springer Science & Business Media
ISBN 13 : 0387981446
Total Pages : 732 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Computational Statistics by : James E. Gentle

Download or read book Computational Statistics written by James E. Gentle and published by Springer Science & Business Media. This book was released on 2009-07-28 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.