Wiley, 2015. — 472 p. — (Wiley Series in Probability and Statistics). — ISBN: 9781118730034. A valuable overview of the most important ideas and results in statistical modeling. Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book...
Leanpub, 2017. — 525 p. — ISBN N\A. Learn the R language as a child would: Do not struggle, just play! If going gets difficult and frustrating, take a break! If you get a new insight, take abreak to enjoy the victory! This book covers different aspects of the use of the R language plus the languages behind some R packages, including the “grammar of graphics” implemented in...
Leanpub, 2023. — 388 p. Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. This book first presents the theory behind calculations related to research in photobiology and describes how to use R as a tool for carrying out these calculations. This handbook describes how to use R as a tool for doing...
3rd Edition. — Cambridge University Press, 2021. — 280 p. — ISBN: 978-1-108-99345-6. This third edition of Braun and Murdoch's bestselling textbook now includes a discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box-Muller, and Metropolis-Hastings...
CRC Press, 2022. — 549 p. — (The R Series). — ISBN: 978-1 -032 -19385-4. Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, the researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some...
Leanpub, 2021. — 374 p. Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensor data and electronic records. This book shows you how to explore, preprocess, encode, and visualize your data This is the first version (Leanpub) of the book. In terms of content, all versions are very similar. The newer HTML and print versions...
Wadsworth & Brooks/Cole Publishing Company, 1983. — 407 p. — ISBN: 0871504138, 053498052X. This book is an excellent introductory book to graphical data analysis. If you are an advanced reader, this book is a good one to have lying around for reference (especially since it costs so little and does not take up much space). The book relies heavily on the use of S-PLUS , a...
Publisher: Chapman and Hall/C.R.C. |1991ISBN: 0412053012, 0412052911608 p. | Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research...
N.-Y.: Springer, 2014. - 349 p. This book introduces Astrostatistics as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical...
2nd Edition. — Packt Publishing, 2020. — 592 p. — ISBN13: 978-1-4987-8575-4. An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections....
John Wiley & Sons Inc., 2020. — 873 p. — ISBN: 978-1-118-38798-6. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are...
John Wiley & Sons, Inc., 2014. — 308 p. — ISBN: 978-1-118-42254-0. Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the...
Chapman and Hall/CRC – 2001, 256 p. ISBN: 1584882808, 978-1584882800. Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to...
Sage Publications, Inc2002ISBN: 0761922792328 p. | "The text does an outstanding job of providing the necessary mechanics and theory of the S language. I will use this book in every such course that I teach from this point on." -JEFF GILL, University of Florida, Gainesville "The book provides a valuable supplement to texts on regression analysis and linear models by showing...
Palgrave Macmillan, 2015. — 281 p. — ISBN: 978-1-349-46986-4. Quantitative Trading with R offers readers a winning strategy for devising expertly-crafted and workable trading models using the R open-source programming language. Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding complex...
New York: Springer, 2017. — 282 p. This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non...
Boca Raton: CRC Press, 2022. — 302 p. This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are relevant to...
2nd Edition. — John Wiley & Sons, Inc., 2020. — 473 p. — ISBN: 978-1119536949. Provides a comprehensive introduction to probability with an emphasis on computing-related applications This self-contained new and extended edition outlines a first course in probability applied to computer-related disciplines. As in the first edition, experimentation and simulation are favoured...
O’Reilly, 2014. — 212 p. — ISBN: 978-1-491-94785-2. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started — whether you’re on Windows, OS X, or Linux...
3rd Edition. — John Wiley & Sons Ltd, 2022. — 882 p. — ISBN: 978-1119634409. A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields. In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Apress, 2017. — 103 p. — ISBN13: 978-1-4842-2880-7. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a...
Simon Munzert, Christian Rubba, Peter Meißner, Dominic Nyhuis. — John Wiley & Sons Ltd, 2015. — 469 p. — ISBN: 978-1-118-83481-7. A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query...
Pakistan: Rawalpindi, 2019. — 384 p. — ISBN: 978-1707715268. This book is a try to make statistics colorful along with basic instructions in R Programming Language … It has handy illustrations on a huge number of statistical topics with beautiful colors as can be found through the table of contents. This book will help the students to learn and utilize some basic concepts of...
N.-Y.: Leanpub, 2015. - 132 p. This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. History and Overview of R What is R? What is S? The S Philosophy Back to...
Oxford: Oxford University Press, 2021. — 314 p. Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategies. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining...
Packt Publishing, 2015. — 248 p. — ISBN13: 978-1784396312. Extract valuable data from your social media sites and make better business decisions using R About This Book Explore the social media APIs in R to capture data and tame it Employ the machine learning capabilities of R to gain optimal business value A hands-on guide with real-world examples to help you take advantage of...
Wiley, 2018. — 240 p. — ISBN: 1119302609. Introduces the fundamentals of probability, statistics, decision theory, and game theory, and features interesting examples of games of chance and strategy to motivate and illustrate abstract mathematical concepts. Covering both random and strategic games, Probability, Decisions and Games features a variety of gaming and gambling...
Hoboken: Wiley, 2014. - 439 p. Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R...
Wiley – 2005, 565 p. ISBN: 9780471745839 An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: Thorough...
O’Reilly Media, 2011. — 436 p. — ISBN: 978-0-596-80915-7. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with...
N.-Y.: Wiley, 2012. - 416 p. A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers...
CRC, 2017. — 342 p. — ISBN: 978-1138088634. — (Chapman & Hall/CRC The R Series). Building on over thirty years’ experience in teaching and practicing data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practice of data science while building their data skills. Proven frameworks are provided as reusable...
Comments