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Author: Sanjay Mohapatra
Publisher: Springer Science & Business Media
ISBN: 1461430437
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
The importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density.
Author: Sanjay Mohapatra
Publisher: Springer Science & Business Media
ISBN: 1461430437
Category : Business & Economics
Languages : en
Pages : 228
Get Book
Book Description
The importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density.
Author: Sanjay Mohapatra
Publisher: Springer Science & Business Media
ISBN: 1461430429
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
The importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density.
Author: Raymond W. Yeung
Publisher: Springer Science & Business Media
ISBN: 1441986081
Category : Technology & Engineering
Languages : en
Pages : 426
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Book Description
This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
Author: Robert M. Gray
Publisher: Springer Science & Business Media
ISBN: 1475739826
Category : Computers
Languages : en
Pages : 346
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Book Description
This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and discrimination or relative entropy, along with the limiting normalized versions of these quantities such as entropy rate and information rate. Much of the book is concerned with their properties, especially the long term asymptotic behavior of sample information and expected information. This is the only up-to-date treatment of traditional information theory emphasizing ergodic theory.
Author: Thomas M. Cover
Publisher: John Wiley & Sons
ISBN: 1118585771
Category : Computers
Languages : en
Pages : 788
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Book Description
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
Author: Richard E. Blahut
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 480
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Book Description
Author: David J. C. MacKay
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
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Book Description
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Author: Sergio Verdú
Publisher: Wiley-IEEE Press
ISBN:
Category : Computers
Languages : en
Pages : 776
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Book Description
See:
Author: Przemysław Deszczyński
Publisher: Wydawnictwo Poznańskiego Towarzystwa Przyjaciół Nauk
ISBN: 8376544896
Category : Business & Economics
Languages : en
Pages : 152
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Book Description
The economics of information. Theory and practice is an English-language version of the monograph Ekonomia informacji written in September 2019 and published at the beginning of 2020. The idea of translating it into English was born after posting the texts on Research-Gate. Then requests to make it available in English appeared. Rapid changes that have taken place in the world economy over the past year caused some authors to consider it necessary to include them in their texts. Therefore, the update of the texts have been provided, mainly in the context of consequences of the pandemic, but also concerning the entry of Brexit into the next phase. Attention was paid not only to the theoretical but most of all to the practical dimension of information economics. Moreover, the comments that appeared in reviews published in scientific journals, including those concerning the structure of work, have been taken into account. The monograph consists of eight chapters. Each of them was written by a different author. In the first chapter, the conceptualization of the term ‘economics of information’ was presented. It covers the genesis of information economics, an original definition and methodological foundations. It is a starting point and supporting structure of the entire book. The authors of the remaining chapters refer to and comply with the adopted convention of analysis presented by the research editor. The second chapter is devoted to the economics of information in internal communication in the era of social media. It constitutes a sort of bridge between information economics and public relations narrowed down to internal communication. Jacek Trębecki refers to the relationship between behavioral economics and classical economics. He emphasizes that the consequence of information asymmetry may be its influence on distortion of decisions. Chapter three by Waldemar Rydzak – Changes in Access to Information in Crisis Situations – as intended by the author, is to be a starting point for a discussion about the role of information in the contemporary market, which is more and more frequently discussed in the context of the fourth digital wave of development, with significant influence of mass media and the Internet, also in the context of the COVID-related situation. In the fourth chapter, Filip Kaczmarek used the assumptions of counterfactual analysis in his considerations, and on the basis of its results he showed that the so-called opportunity costs, or ‘cost of non-Europe’, are used as an instrument of legitimizing the European Union. In chapter five by Aleksandra Rabczun, Brexit and the Economics of Information, the Brexit case was analyzed in the context of the role played by information economics in this process. Chapter six, written by Izabela Janicka, is an example of using the concept of economics of information to analyze one country, in this case Germany. It was also assumed that both macro and micro aspects are taken into account. The author points to the overriding role of information in the post-industrial economy and to the fact that information has become one of the basic production factors. She also introduces the concept of a functional information minimum and an information gap. In the seventh chapter Marcin Leszczyński defines the role of the state’s reputation in reducing information asymmetry in the global market. The chapter ends with the analysis of policy and diplomacy in shaping trust in a government and the demand for products from a given country on the example of the trade war between the US and China. In the eighth chapter, Information, Welfare and Migrations – Practical Remarks in the Context of the Economics of Information, Katarzyna Świerczyńska fitted into the scope of research on the impact of information on economy and economic decisions of entities at the mega-economic level.
Author: Oliver Thomas Johnson
Publisher: World Scientific
ISBN: 1860944736
Category : Mathematics
Languages : en
Pages : 224
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Book Description
This book provides a comprehensive description of a new method of proving the central limit theorem, through the use of apparently unrelated results from information theory. It gives a basic introduction to the concepts of entropy and Fisher information, and collects together standard results concerning their behaviour. It brings together results from a number of research papers as well as unpublished material, showing how the techniques can give a unified view of limit theorems.
