Benjamin Bolker's Books

Infectious Disease

A Very Short Introduction

By: Marta L. Wayne,Benjamin M. Bolker

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Infectious Disease

A Very Short Introduction

By: Marta L. Wayne,Benjamin M. Bolker

A Very Short Introduction considers where particular diseases come from, how they are transmitted from one person to another, why some individuals are more susceptible than others, and what strategies can be used to combat these diseases. It explains the general principles of infection, the management of outbreaks, and the evolutionary and ecological approaches that are now central to much research about infectious disease.

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Page Count

137

Publisher

Oxford University Press, USA

Published Date

ISBN 10

0199688931

ISBN 13

9780199688937

Ecological Models and Data in R

By: Benjamin M. Bolker

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Ecological Models and Data in R

By: Benjamin M. Bolker

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics. Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R Step-by-step instructions for fitting models to messy, real-world data Balanced view of different statistical approaches Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) Techniques for data manipulation and graphical display Companion Web site with data and R code for all examples

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Page Count

409

Publisher

Princeton University Press

Published Date

ISBN 10

1400840902

ISBN 13

9781400840908

Infectious Disease: A Very Short Introduction

By: Marta Wayne,Benjamin Bolker

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Infectious Disease: A Very Short Introduction

By: Marta Wayne,Benjamin Bolker

Very Short Introductions: Brilliant, Sharp, Inspiring Infectious disease is a moving target: new diseases emerge every year, old diseases evolve into new forms, and ecological and socioeconomic upheavals change the transmission pathways that spread disease. But where does disease come from? How is it transmitted from one person to another? And why are some individuals more susceptible than others? In this Very Short Introduction, Marta Wayne and Benjamin Bolker address these questions through the lenses of ecology and evolution. Assessing the management of outbreaks of diseases such as influenza, HIV/AIDS, cholera, and COVID-19, they provide specific examples to illustrate why major diseases still threaten populations all over the world. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

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Page Count

161

Publisher

Oxford University Press

Published Date

ISBN 10

0192674447

ISBN 13

9780192674449

Analyzing Baseball Data with R

By: Jim Albert,Benjamin S. Baumer,Max Marchi

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Analyzing Baseball Data with R

By: Jim Albert,Benjamin S. Baumer,Max Marchi

“Our community has continued to grow exponentially, thanks to those who inspire the next generation. And inspiring the next generation is what the authors of Analyzing Baseball Data with R are doing. They are setting the career path for still thousands more. We all need some sort of kickstart to take that first or second step. You may be a beginner R coder, but you need access to baseball data. How do you access this data, how do you manipulate it, how do you analyze it? This is what this book does for you. But it does more, by doing what sabermetrics does best: it asks baseball questions. Throughout the book, baseball questions are asked, some straightforward, and others more thought-provoking.” From the Foreword by Tom Tango Analyzing Baseball Data with R Third Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available for download online. New to the third edition is the revised R code to make use of new functions made available through the tidyverse. The third edition introduces three chapters of new material, focusing on communicating results via presentations using the Quarto publishing system, web applications using the Shiny package, and working with large data files. An online version of this book is hosted at https://beanumber.github.io/abdwr3e/.

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Page Count

418

Publisher

CRC Press

Published Date

ISBN 10

104009712X

ISBN 13

9781040097120

Modern Data Science with R

By: Benjamin S. Baumer,Daniel T. Kaplan,Nicholas J. Horton

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Modern Data Science with R

By: Benjamin S. Baumer,Daniel T. Kaplan,Nicholas J. Horton

From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

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Page Count

650

Publisher

CRC Press

Published Date

ISBN 10

0429577508

ISBN 13

9780429577505

Research Methods in Vocabulary Studies

By: Philip Durrant,Anna Siyanova-Chanturia,Benjamin Kremmel,Suhad Sonbul

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Research Methods in Vocabulary Studies

By: Philip Durrant,Anna Siyanova-Chanturia,Benjamin Kremmel,Suhad Sonbul

Understanding vocabulary and its role in language learning is one of the central tasks of applied linguistic research. It is also an area that has seen, and continues to see, huge progress in terms of the complexity and diversity of work being done. While this makes for a rich and exciting research scene, it can also make the task of developing vocabulary research skills a daunting one as specialist subfields develop ever more sophisticated concepts and methods. This book aims to give readers an understanding of the area that is both detailed and rounded by introducing them to understanding and doing vocabulary research from four key perspectives: corpus linguistics, psycholinguistics, language testing, and teaching and learning. Within each area, a state-of-the-art review describes fundamental concepts and commonly used methods, evaluates ongoing methodological debates, and points to areas for future development. It aims both to give readers a solid grounding in the specialized methods and debates associated with each area and to build connections across these specializations, considering points of contact and ways in which they can work together.

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Page Count

343

Publisher

John Benjamins Publishing Company

Published Date

ISBN 10

9027257752

ISBN 13

9789027257758

Monitoring Animal Populations and Their Habitats

A Practitioner's Guide

By: Brenda McComb,Benjamin Zuckerberg,David Vesely,Christopher Jordan

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Monitoring Animal Populations and Their Habitats

A Practitioner's Guide

By: Brenda McComb,Benjamin Zuckerberg,David Vesely,Christopher Jordan

In the face of so many unprecedented changes in our environment, the pressure is on scientists to lead the way toward a more sustainable future. Written by a team of ecologists, Monitoring Animal Populations and Their Habitats: A Practitioner’s Guide provides a framework that natural resource managers and researchers can use to design monitoring programs that will benefit future generations by distilling the information needed to make informed decisions. In addition, this text is valuable for undergraduate- and graduate-level courses that are focused on monitoring animal populations. With the aid of more than 90 illustrations and a four-page color insert, this book offers practical guidance for the entire monitoring process, from incorporating stakeholder input and data collection, to data management, analysis, and reporting. It establishes the basis for why, what, how, where, and when monitoring should be conducted; describes how to analyze and interpret the data; explains how to budget for monitoring efforts; and discusses how to assemble reports of use in decision-making. The book takes a multi-scaled and multi-taxa approach, focusing on monitoring vertebrate populations and upland habitats, but the recommendations and suggestions presented are applicable to a variety of monitoring programs. Lastly, the book explores the future of monitoring techniques, enabling researchers to better plan for the future of wildlife populations and their habitats. Monitoring Animal Populations and Their Habitats: A Practitioner’s Guide furthers the goal of achieving a world in which biodiversity is allowed to evolve and flourish in the face of such uncertainties as climate change, invasive species proliferation, land use expansion, and population growth.

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Page Count

300

Publisher

CRC Press

Published Date

ISBN 10

1420070584

ISBN 13

9781420070583

Analyzing Baseball Data with R, Second Edition

By: Max Marchi,Jim Albert,Benjamin S. Baumer

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Analyzing Baseball Data with R, Second Edition

By: Max Marchi,Jim Albert,Benjamin S. Baumer

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.

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Page Count

302

Publisher

CRC Press

Published Date

ISBN 10

1351107070

ISBN 13

9781351107075

Studying the Biology of Aquatic Animals through Calcified Structures

By: Benjamin D. Walther

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Studying the Biology of Aquatic Animals through Calcified Structures

By: Benjamin D. Walther

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

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Page Count

248

Publisher

Frontiers Media SA

Published Date

ISBN 10

2889661121

ISBN 13

9782889661121

Ecological Models and Data in R

By: Benjamin M. Bolker

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Ecological Models and Data in R

By: Benjamin M. Bolker

Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

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Page Count

408

Publisher

Princeton University Press

Published Date

ISBN 10

0691125228

ISBN 13

9780691125220

Infectious Disease: A Very Short Introduction

By: Marta Wayne,Benjamin Bolker

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Infectious Disease: A Very Short Introduction

By: Marta Wayne,Benjamin Bolker

As doctors and biologists have learned, to their dismay, infectious disease is a moving target: new diseases emerge every year, old diseases evolve into new forms, and ecological and socioeconomic upheavals change the transmission pathways by which disease spread. By taking an approach focused on the general evolutionary and ecological dynamics of disease, this Very Short Introduction provides a general conceptual framework for thinking about disease. Ecology and evolution provide the keys to answering the 'where', 'why', 'how', and 'what' questions about any particular infectious disease: where did it come from? How is it transmitted from one person to another, and why are some individuals more susceptible than others? What biochemical, ecological, and evolutionary strategies can be used to combat the disease? Is it more effective to block transmission at the population level, or to block infection at the individual level? Through a series of case studies, Benjamin Bolker and Marta L. Wayne introduce the major ideas of infectious disease in a clear and thoughtful way, emphasising the general principles of infection, the management of outbreaks, and the evolutionary and ecological approaches that are now central to much research about infectious disease. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

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Age

Page Count

138

Publisher

OUP Oxford

Published Date

ISBN 10

0191002836

ISBN 13

9780191002830

Book's by Benjamin Bolker

Infectious Disease

Infectious Disease

Ecological Models and Data in R

Ecological Models and Data in R

Infectious Disease: A Very Short Introduction

Infectious Disease: A Very Short Introduction

Analyzing Baseball Data with R

Analyzing Baseball Data with R

Modern Data Science with R

Modern Data Science with R

Research Methods in Vocabulary Studies

Research Methods in Vocabulary Studies

Monitoring Animal Populations and Their Habitats

Monitoring Animal Populations and Their Habitats

Analyzing Baseball Data with R, Second Edition

Analyzing Baseball Data with R, Second Edition

Studying the Biology of Aquatic Animals through Calcified Structures

Studying the Biology of Aquatic Animals through Calcified Structures

Ecological Models and Data in R

Ecological Models and Data in R

Infectious Disease: A Very Short Introduction

Infectious Disease: A Very Short Introduction

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