**Author**: Kenneth Lange

**Publisher:** Springer Science & Business Media

**ISBN:** 1441959440

**Category : **Business & Economics

**Languages : **en

**Pages : **606

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**Book Description**
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.

**Author**: Kenneth Lange

**Publisher:** Springer Science & Business Media

**ISBN:** 1441959440

**Category : **Business & Economics

**Languages : **en

**Pages : **606

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**Book Description**
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.

**Author**: John F. Monahan

**Publisher:** Cambridge University Press

**ISBN:** 9780521791687

**Category : **Computers

**Languages : **en

**Pages : **446

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**Book Description**
This 2001 book provides a basic background in numerical analysis and its applications in statistics.

**Author**:

**Publisher:** Academic Publishers

**ISBN:** 9788187504276

**Category : **
**Languages : **en

**Pages : **452

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**Book Description**

**Author**: Karl Gustafson

**Publisher:** World Scientific

**ISBN:** 9814405191

**Category : **Mathematics

**Languages : **en

**Pages : **260

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**Book Description**
Karl Gustafson is the creator of the theory of antieigenvalue analysis. Its applications spread through fields as diverse as numerical analysis, wavelets, statistics, quantum mechanics, and finance. Antieigenvalue analysis, with its operator trigonometry, is a unifying language which enables new and deeper geometrical understanding of essentially every result in operator theory and matrix theory, together with their applications. This book will open up its methods to a wide range of specialists. Contents:IntroductionThe Original Motivation: Operator SemigroupsThe Essentials of Antieigenvalue TheoryApplications in Numerical AnalysisApplications in Wavelets, Control, ScatteringThe Trigonometry of Matrix StatisticsQuantum TrigonometryFinancial InstrumentsOther Directions Readership: Professionals and students in applied mathematics. Keywords:Linear Algebra;Matrices;Operators;Antieigenvalues;Numerical Analysis;Wavelets;Statistics;Quantum Mechanics;Finance;Geometry;TrigonometryKey Features:Forty years after its appearance and subsequent developments, the first comprehensive treatment showing the present state of the subject is welcomeAntieigenvalue analysis revealed that the celebrated Kantorovich convergence rates for optimization in numerical analysis and economics are exactly operator-trigonometricIn quantum mechanics, one of the great developments was John Bell's formulation of his inequalities to test the Einstein–Podolsky–Rosen hidden variable theory. Gustafson's antieigenvalue operator trigonometry has provided a new geometrical viewpoint which significantly clarified the mathematical and physical meanings of the Bell Inequalities

**Author**: Dr. R. Nagendran

**Publisher:** Dr. R.NAGENDRAN

**ISBN:** 9353000173

**Category : **Antiques & Collectibles

**Languages : **en

**Pages : **210

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**Book Description**
This book spreads into Five chapters covering the various aspects of Statistics and Numerical Methods. This book covers the syllabus of B.E. Courses in Mechanical Engineering, Automobile Engineering and production Engineering.

**Author**: Cram101 Textbook Reviews

**Publisher:** Cram101

**ISBN:** 9781478407287

**Category : **
**Languages : **en

**Pages : **444

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**Book Description**
Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9781441959447 .

**Author**: R.A. Thisted

**Publisher:** Routledge

**ISBN:** 1351452746

**Category : **Mathematics

**Languages : **en

**Pages : **297

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**Book Description**
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.

**Author**: Cram101 Textbook Reviews

**Publisher:** Cram101

**ISBN:** 9781478497080

**Category : **
**Languages : **en

**Pages : **344

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**Book Description**
Never HIGHLIGHT a Book Again Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9780872893795. This item is printed on demand.

**Author**: Yadolah Dodge

**Publisher:** Physica

**ISBN:** 9783662268131

**Category : **Business & Economics

**Languages : **en

**Pages : **579

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**Book Description**
The Role of the Computer in Statistics David Cox Nuffield College, Oxford OXIINF, U.K. A classification of statistical problems via their computational demands hinges on four components (I) the amount and complexity of the data, (il) the specificity of the objectives of the analysis, (iii) the broad aspects of the approach to analysis, (ill) the conceptual, mathematical and numerical analytic complexity of the methods. Computational requi rements may be limiting in (I) and (ill), either through the need for special programming effort, or because of the difficulties of initial data management or because of the load of detailed analysis. The implications of modern computational developments for statistical work can be illustrated in the context of the study of specific probabilistic models, the development of general statistical theory, the design of investigations and the analysis of empirical data. While simulation is usually likely to be the most sensible way of investigating specific complex stochastic models, computerized algebra has an obvious role in the more analyti cal work. It seems likely that statistics and applied probability have made insufficient use of developments in numerical analysis associated more with classical applied mathematics, in particular in the solution of large systems of ordinary and partial differential equations, integral equations and integra-differential equations and for the ¢raction of "useful" in formation from integral transforms. Increasing emphasis on models incorporating specific subject-matter considerations is one route to bridging the gap between statistical ana.

**Author**:

**Publisher:**
**ISBN:**
**Category : **Technology

**Languages : **en

**Pages : **730

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**Book Description**