Numerical Methods of Statistics

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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

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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

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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.

Computational Methods for Numerical Analysis with R

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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 Issues in Statistical Computing for the Social Scientist

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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.

Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

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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 for Scientists and Engineers

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Publisher :
ISBN 13 :
Total Pages : 444 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Numerical Methods for Scientists and Engineers by : Richard Wesley Hamming

Download or read book Numerical Methods for Scientists and Engineers written by Richard Wesley Hamming and published by . This book was released on 1962 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Numerical Methods for Nonlinear Estimating Equations

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Publisher : Oxford University Press
ISBN 13 : 9780198506881
Total Pages : 330 pages
Book Rating : 4.5/5 (68 download)

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Book Synopsis Numerical Methods for Nonlinear Estimating Equations by : Christopher G. Small

Download or read book Numerical Methods for Nonlinear Estimating Equations written by Christopher G. Small and published by Oxford University Press. This book was released on 2003 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non linearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use of root search algorithms, or one-step estimators, is a standard method of solution. This book provides a comprehensive study of nonlinear estimating equations and artificial likelihood's for statistical inference. It provides extensive coverage and comparison of hill climbing algorithms, which when started at points of nonconcavity often have very poor convergence properties, and for additional flexibility proposes a number of modification to the standard methods for solving these algorithms. The book also extends beyond simple root search algorithms to include a discussion of the testing of roots for consistency, and the modification of available estimating functions to provide greater stability in inference. A variety of examples from practical applications are included to illustrate the problems and possibilities thus making this text ideal for the research statistician and graduate student.

Elements of Statistical Computing

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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.

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

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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 and Statistical Methods with SCILAB for Science and Engineering

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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/)

A Handbook of Numerical and Statistical Techniques

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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 Statistics

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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.

Advances in Numerical Analysis Emphasizing Interval Data

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Publisher : CRC Press
ISBN 13 : 1000540251
Total Pages : 218 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 218 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 Methods and Statistical Techniques Using 'C'

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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 Methods in Finance and Economics

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Publisher : John Wiley & Sons
ISBN 13 : 1118625579
Total Pages : 501 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Numerical Methods in Finance and Economics by : Paolo Brandimarte

Download or read book Numerical Methods in Finance and Economics written by Paolo Brandimarte and published by John Wiley & Sons. This book was released on 2013-06-06 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms. Newly featured in the Second Edition: * In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies * New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12 * New chapter on binomial and trinomial lattices * Additional treatment of partial differential equations with two space dimensions * Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance * New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.

Numerical Methods of Curve Fitting

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Publisher : Cambridge University Press
ISBN 13 : 1107646952
Total Pages : 439 pages
Book Rating : 4.1/5 (76 download)

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Book Synopsis Numerical Methods of Curve Fitting by : P. G. Guest

Download or read book Numerical Methods of Curve Fitting written by P. G. Guest and published by Cambridge University Press. This book was released on 2012-12-13 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1961 book provides information on the methods of treating series of observations; the field covered embraces portions of both statistics and numerical analysis.