Quantitative Social Science Data with R: An Introduction, Paperback - Brian J. Fogarty

Description"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is...

Contributor(s): Author: Kosuke ImaiAn introductory textbook on data analysis and statistics written especially for students in the social sciences ...

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A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniq...

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We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected ...

Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable g...

Updated and expanded edition of this well-known Physics textbook provides an excellent Undergraduate introduction to the field This new edition of ...

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Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practi...

"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building bl...

This textbook provides a truly unique introduction that integrates the concepts and methods of optics, molecular and cellular biology, image analys...

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A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, ...

Reducere. Hedge Fund Secrets provides a needed complement to journalistic accounts of the hedge fund industry, to deepen the understanding of nonspecialist r...

Reducere. R is a free, open source programming language that's become a popular standard for financial and economic analysis. Quantitative Investment Portfol...

DescriptionThe worlds of Wall Street and The City have always held a certain allure, but in recent years have left an indelible mark on the wider p...

A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned resea...

DescriptionWhen the Nazis took power in 1933, most Germans did not foresee the oncoming storm. Many were wildly enthusiastic; some were alarmed; mo...

Reducere. DescriptionThis book is a guide for you on how to present data using graphics. The various tools that can be used for presenting data visually have...

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Reducere. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense...

Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and...

Reducere. ** TIDYVERSION** Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a firs...

Contributor(s): Author: Scott MurrayCreate and publish your own interactive data visualization projects on the web--even if you have little or no e...

Publisher: SAGE Publications IncAuthor(s): Peter CaputiNumber of pages: 272Publication date: 2001Dimensions: 234 x 157 x 16Cover type: Paperback / ...

Publisher: Princeton University PressAuthor(s): Anthony FowlerIllustration(s): 32 b/w illus. 81 tables.Number of pages: 400Publication date: 2021Di...

DescriptionHigh-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to ...

DescriptionThis unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-wor...

The follow-up to Casino capitalism, this is another classic text, and the last book written by Susan Strange. It builds on the previous work, discu...

A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or ...

Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithm...

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book f...

This text follows a developmental theme, with an emphasis on diversity coverage and critical thinking. Personal applications and real life examples...

Reducere. For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The...

Data Visualization is the presentation of data in graphical format.In this tutorial for beginners, you will learn how to present data graphically w...

DescriptionThe lastest edition of this classic text continues to provide the basis for understanding the genetic principles behind quantitative dif...

DescriptionThis invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techni...

This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians an...

This textbook covers essential numerical techniques including basic methods for linear systems, root finding, interpolation, numerical integration ...

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examp...

The Science of Psychology: An Interbehavioral Survey, Hardcover

With more than 260, 000 copies in print, this bestselling primer on the science of plants is back and better than ever, with updated content and ne...

A pioneering textbook that balances descriptive classification and quantitative analysis of geological structures using tools from calculus and mec...

The only prep book you will ever need to succeed on the DAT Quantitative Reasoning Math Test DAT Quantitative Reasoning Math Prep 2019 - 2020, whic...

In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problem...