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Advances and Innovations in Statistics and Data Science
  • Language: en
  • Pages: 339

Advances and Innovations in Statistics and Data Science

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.

New Advances in Statistics and Data Science
  • Language: en
  • Pages: 348

New Advances in Statistics and Data Science

  • Type: Book
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  • Published: 2018-01-17
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  • Publisher: Springer

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely...

Cure Models
  • Language: en
  • Pages: 268

Cure Models

  • Type: Book
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  • Published: 2021-03-22
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  • Publisher: CRC Press

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, and software. This book is useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications. The prerequisites of this book include some basic knowledge of statistical modeling, survival models, and R and SAS for data analysis. The book features real-world examples from clinical trials and population-based studies and a detailed intro...

Making Politics Work for Development
  • Language: en
  • Pages: 278

Making Politics Work for Development

Governments fail to provide the public goods needed for development when its leaders knowingly and deliberately ignore sound technical advice or are unable to follow it, despite the best of intentions, because of political constraints. This report focuses on two forces—citizen engagement and transparency—that hold the key to solving government failures by shaping how political markets function. Citizens are not only queueing at voting booths, but are also taking to the streets and using diverse media to pressure, sanction and select the leaders who wield power within government, including by entering as contenders for leadership. This political engagement can function in highly nuanced w...

Social Psychology of Inclusion and Exclusion
  • Language: en
  • Pages: 651

Social Psychology of Inclusion and Exclusion

This book is about the social psychological dynamics and phenomenology of social inclusion and exclusion. The editors take as their starting point the assumption that social life is conducted in a framework of relationships in which individuals seek inclusion and belongingness. Relationships necessarily include others, but equally they have boundaries that exclude. Frequently these boundaries are challenged or crossed. The book will draw together research on individual motivation, small group processes, stigmatization and intergroup relations, to provide a comprehensive social psychological account of social inclusion and exclusion.

Colloquial Chinese
  • Language: en
  • Pages: 386

Colloquial Chinese

  • Type: Book
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  • Published: 2015-08-27
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  • Publisher: Routledge

Colloquial Chinese: The Complete Course for Beginners has been carefully developed by an experienced teacher to provide a step-by-step course to Chinese as it is written and spoken today. Combining a clear, practical and accessible style with a methodical and thorough treatment of the language, it equips learners with the essential skills needed to communicate confidently and effectively in Chinese in a broad range of situations. No prior knowledge of the language is required. Colloquial Chinese is exceptional; each unit presents a wealth of grammatical points that are reinforced with a wide range of exercises for regular practice. A full answer key, a grammar summary, bilingual glossaries a...

A History of Data Visualization and Graphic Communication
  • Language: en
  • Pages: 337

A History of Data Visualization and Graphic Communication

A comprehensive history of data visualizationÑits origins, rise, and effects on the ways we think about and solve problems. With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time, interactive traffic data. A color-coded map of exit polls details election balloting down to the county level. Charts communicate stock market trends, government spending, and the dangers of epidemics. A History of Data Visualization and Graphic Communication tells the story of how graphics left the exclusive confines of scientific research and became ubiquitous. As data visualization spread, it changed the way we think. Michael Friendly and Howar...

Bayes Rules!
  • Language: en
  • Pages: 606

Bayes Rules!

  • Type: Book
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  • Published: 2022-03-03
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  • Publisher: CRC Press

Praise for Bayes Rules!: An Introduction to Applied Bayesian Modeling “A thoughtful and entertaining book, and a great way to get started with Bayesian analysis.” Andrew Gelman, Columbia University “The examples are modern, and even many frequentist intro books ignore important topics (like the great p-value debate) that the authors address. The focus on simulation for understanding is excellent.” Amy Herring, Duke University “I sincerely believe that a generation of students will cite this book as inspiration for their use of – and love for – Bayesian statistics. The narrative holds the reader’s attention and flows naturally – almost conversationally. Put simply, this is p...

Computer and Computing Technologies in Agriculture II, Volume 3
  • Language: en
  • Pages: 761

Computer and Computing Technologies in Agriculture II, Volume 3

  • Type: Book
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  • Published: 2010-02-03
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  • Publisher: Springer

The papers in this volume comprise the refereed proceedings of the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), in Beijing, China, 2008. The conference on the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA 2008) is cooperatively sponsored and organized by the China Agricultural University (CAU), the National Engineering Research Center for Information Technology in Agriculture (NERCITA), the Chinese Society of Agricultural Engineering (CSAE) , International Federation for Information Processing (IFIP), Beijing Society for Information Technology in Agriculture, China and Beijing Researc...

Data Science
  • Language: en
  • Pages: 466

Data Science

  • Type: Book
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  • Published: 2022-07-15
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  • Publisher: CRC Press

Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows. Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for data science projects. The book is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates in the University of British Columbia’s DSCI100: Introduction to Data Science course.