Scientific Data Ranking Methods Book

Scientific Data Ranking Methods


  • Author : Anonim
  • Publisher : Elsevier
  • Release Date : 2008-11-17
  • Genre: Mathematics
  • Pages : 224
  • ISBN 10 : 0080931936

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Scientific Data Ranking Methods Excerpt :

This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR. . Covers a wide range of applications, from the environment and toxicology to DNA sequencing . Incorporates contributions from renowned experts in the field . Meets the increasing demand for literature concerned with ranking methods and their applications

Statistical Methods for Ranking Data Book

Statistical Methods for Ranking Data


  • Author : Mayer Alvo
  • Publisher : Springer
  • Release Date : 2014-09-02
  • Genre: Mathematics
  • Pages : 273
  • ISBN 10 : 9781493914715

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Statistical Methods for Ranking Data Excerpt :

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.

Encyclopedia of Survey Research Methods Book

Encyclopedia of Survey Research Methods


  • Author : Paul J. Lavrakas
  • Publisher : SAGE Publications
  • Release Date : 2008-09-12
  • Genre: Social Science
  • Pages : 1072
  • ISBN 10 : 9781506317885

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Encyclopedia of Survey Research Methods Excerpt :

In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint.

Comprehensive Chemometrics Book

Comprehensive Chemometrics


  • Author : Steven Brown
  • Publisher : Elsevier
  • Release Date : 2020-05-26
  • Genre: Science
  • Pages : 2944
  • ISBN 10 : 9780444641663

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Comprehensive Chemometrics Excerpt :

Comprehensive Chemometrics, Second Edition features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but there are also many new chapters on the latest developments. Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience

Sports Analytics and Data Science Book

Sports Analytics and Data Science


  • Author : Thomas W. Miller
  • Publisher : FT Press
  • Release Date : 2015-11-18
  • Genre: Computers
  • Pages : 225
  • ISBN 10 : 9780133887419

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Sports Analytics and Data Science Excerpt :

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.

Analyzing Social Science Data Book

Analyzing Social Science Data


  • Author : David de Vaus
  • Publisher : SAGE
  • Release Date : 2002-09-17
  • Genre: Social Science
  • Pages : 401
  • ISBN 10 : 0761959386

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Analyzing Social Science Data Excerpt :

Abridged Contents PART ONE: HOW TO PREPARE DATA FOR ANALYSIS\PART TWO: HOW TO PREPARE VARIABLE FOR ANALYSIS\PART THREE: HOW TO REDUCE THE AMOUNT OF DATA TO ANALYZE\PART FOUR: HOW AND WHEN TO GENERALIZE\PART FIVE: HOW TO ANALYZE A SINGLE VARIABLE\PART SIX: HOW TO ANALYZE TWO VARIABLES\PART SEVEN: HOW TO CARRY OUT MULTIVARIATE ANALYSIS

Collaborative and Distributed E Research  Innovations in Technologies  Strategies and Applications Book

Collaborative and Distributed E Research Innovations in Technologies Strategies and Applications


  • Author : Juan, Angel A.
  • Publisher : IGI Global
  • Release Date : 2012-02-29
  • Genre: Computers
  • Pages : 419
  • ISBN 10 : 9781466601260

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Collaborative and Distributed E Research Innovations in Technologies Strategies and Applications Excerpt :

"This book offers insight into practical and methodological issues related to collaborative e-research and furthers readers understanding of current and future trends in online research and the types of technologies involved"--Provided by publisher.

The Palgrave Handbook of Economic Performance Analysis Book

The Palgrave Handbook of Economic Performance Analysis


  • Author : Thijs ten Raa
  • Publisher : Springer Nature
  • Release Date : 2019-12-13
  • Genre: Business & Economics
  • Pages : 759
  • ISBN 10 : 9783030237271

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The Palgrave Handbook of Economic Performance Analysis Excerpt :

This Handbook takes an econometric approach to the foundations of economic performance analysis. The focus is on the measurement of efficiency, productivity, growth and performance. These concepts are commonly measured residually and difficult to quantify in practice. In real-life applications, efficiency and productivity estimates are often quite sensitive to the models used in the performance assessment and the methodological approaches adopted by the analysis. The Palgrave Handbook of Performance Analysis discusses the two basic techniques of performance measurement – deterministic benchmarking and stochastic benchmarking – in detail, and addresses the statistical techniques that connect them. All chapters include applications and explore topics ranging from the output/input ratio to productivity indexes and national statistics.

Innovations in Classification  Data Science  and Information Systems Book

Innovations in Classification Data Science and Information Systems


  • Author : Daniel Baier
  • Publisher : Springer Science & Business Media
  • Release Date : 2004-11-19
  • Genre: Language Arts & Disciplines
  • Pages : 616
  • ISBN 10 : 3540232214

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Innovations in Classification Data Science and Information Systems Excerpt :

The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

The Data Science Design Manual Book

The Data Science Design Manual


  • Author : Steven S. Skiena
  • Publisher : Springer
  • Release Date : 2017-07-01
  • Genre: Computers
  • Pages : 445
  • ISBN 10 : 9783319554440

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The Data Science Design Manual Excerpt :

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

Innovations in Computer Science and Engineering Book

Innovations in Computer Science and Engineering


  • Author : H. S. Saini
  • Publisher : Springer
  • Release Date : 2018-05-25
  • Genre: Technology & Engineering
  • Pages : 541
  • ISBN 10 : 9789811082016

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Innovations in Computer Science and Engineering Excerpt :

The book is a collection of high-quality peer-reviewed research papers presented at the Fifth International Conference on Innovations in Computer Science and Engineering (ICICSE 2017) held at Guru Nanak Institutions, Hyderabad, India during 18-19 August 2017. The book discusses a wide variety of industrial, engineering and scientific applications of the engineering techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of Communication, Computing and Data Science and Analytics.

Data Science and Big Data Analytics Book

Data Science and Big Data Analytics


  • Author : Durgesh Kumar Mishra
  • Publisher : Springer
  • Release Date : 2018-08-01
  • Genre: Technology & Engineering
  • Pages : 406
  • ISBN 10 : 9789811076411

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Data Science and Big Data Analytics Excerpt :

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

Data Science Book

Data Science


  • Author : Qinglei Zhou
  • Publisher : Springer
  • Release Date : 2018-09-10
  • Genre: Computers
  • Pages : 649
  • ISBN 10 : 9789811322068

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Data Science Excerpt :

This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.