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Product Details 基本信息 ISBN-13 书号 9781461429296 Author 作者 Gentle Format 版本 平装-胶订 Pages Number 页数 728页 Publication Date 出版日期 2012-03-03 Product Dimensions 商品尺寸 9.2 x 6.1 x 1.5 cm Shipping Weight 商品重量 1134g Language 语种 英语 Book Contents 内容简介 Computational inference has taken its place alongside asymptotic inference and exact techniques in the standard collection of statistical methods. 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.The book assumes an intermediate background in mathematics, computing, and applied and theoretical statistics. The fi
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Product Details 基本信息 ISBN-13 书号 9780299172046 Author 作者 Getz-Gentle Format 版本 平装-胶订 Pages Number 页数 360页 Publisher 出版社 University of Wisconsin Press Publication Date 出版日期 2013-09-30 Product Dimensions 商品尺寸 27.7 x 21.3 x 2 cm Shipping Weight 商品重量 0.9 kg Language 语种 其它(含多语) Book Contents 内容简介 Pat Getz-Gentle provides a clear and detailed survey of the Cycladic period, an early Bronze Age culture that thrived at the heart of the Aegean. In particular, she emphasizes the steps leading to the iconic, reclining folded-arm figure that uniquely defines the Cycladic era. Getz-Gentle also focuses on the personal aesthetics of fifteen carvers, several of whom are identified and discussed in this volume. New to this paperback edition is an expanded bibliography as well an addendum that contains additional works Getz-Gentle has attributed to some
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Product Details 基本信息 ISBN-13 书号 9783319648668 Author 作者 Gentle, James E Format 版本 平装-胶订 Publisher 出版社 Springer Publication Date 出版日期 2017-10-21 Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9781461268420 Author 作者 Gentle Format 版本 平装-胶订 Pages Number 页数 221页 Publisher 出版社 Springer New York Publication Date 出版日期 2012-10-06 Product Dimensions 商品尺寸 9.2 x 6.1 x 0.5 cm Shipping Weight 商品重量 750g Language 语种 英语 Book Contents 内容简介 Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires
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Product Details 基本信息 ISBN-13 书号 9783031421433 Author 作者 James E. Gentle Format 版本 精装 Publisher 出版社 Springer International Publishing Publication Date 出版日期 2023-10-20 Language 语种 其它(含多语) Book Contents 内容简介 This book for graduate and advanced undergraduate students, presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous editions of this very popular textbook had essential updates and comprehensive coverage on critical topics in mathematics.This 3rd edition offers a self-contained description of relevant aspects of matrix algebra for applications in statistics. It begins with fundamental concepts of vectors and vector spaces; covers basic algebraic pro
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Product Details 基本信息 ISBN-13 书号 9781032173467 Author 作者 James Gentle Format 版本 平装-胶订 Pages Number 页数 668页 Publisher 出版社 CRC Press Publication Date 出版日期 2021-09-30 Product Dimensions 商品尺寸 234 x 156 mm (6.14 x 9.21 Language 语种 其它(含多语) Book Contents 内容简介 Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are pre
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Product Details 基本信息 ISBN-13 书号 9781138599499 Author 作者 James Gentle Format 版本 精装 Pages Number 页数 352页 Publisher 出版社 CRC Press Publication Date 出版日期 2020-03-09 Product Dimensions 商品尺寸 6-1/8 x 9-1/4 Language 语种 其它(含多语) Book Contents 内容简介 Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are presented and illustra
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Product Details 基本信息 ISBN-13 书号 9781441930248 Author 作者 Gentle Format 版本 平装-胶订 Pages Number 页数 420页 Publication Date 出版日期 2010-12-06 Language 语种 英语 Book Contents 内容简介 In recent years developments in statistics have to a great extent gone hand in hand with developments in computing. Indeed, many of the recent advances in statistics have been dependent on advances in computer science and techn- ogy. Many of the currently interesting statistical methods are computationally intensive, eitherbecausetheyrequireverylargenumbersofnumericalcompu- tions or because they depend on visualization of many projections of the data. The class of statistical methods characterized by computational intensity and the supporting theory for such methods constitute a discipline called “com- tational statistics”. (Here, I am following Wegman, 1988, and distinguishing “computationalstatistics”from“st
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