Beginning Statistics. An Introduction for Social Scientists, Paperback - Liam Foster

With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book provides readers with ...

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Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifica...

Quantitative social scientists use survival analysis to understand the forces that determine the duration of events. This Element provides a guidel...

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It...

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data...

Reducere. Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, ...

Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistic...

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of...

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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction - Guido W. Imbens, Donald B. Rubin

Interpreting Statistics for Beginners teaches readers to correctly read and interpret results of basic statistical procedures as they are presented...

This book introduces you to the basic rules and principles of statistics and shows you how straightforward statistical tests can be performed and a...

Reducere. Learn statistics without fear Build a solid foundation in data analysis. Be confident that you understand what your data are telling you and that y...

Contributor(s): Author: Guido W. ImbensAuthor: Donald B. RubinMost questions in social and biomedical sciences are causal in nature: what would hap...

Reducere. In this volume of the popular Book of Black Heroes series, readers will learn about the many contributions Black men and women have made in the are...

Correctly understanding and using medical statistics is a key skill for all medical students and health professionals.In an informal and friendly s...

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A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists ...

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

Publisher: Taylor & Francis LtdAuthor(s): Peter (Cardiff Metropolitan University, UK) O'DonoghueIllustration(s): 194 Tables, black and whiteNumber ...

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

Contributor(s): Author: John TownendAll students and researchers in environmental and biologicalsciences require statistical methods at some stage ...

Featuring recent advances in probability, statistics, and stochastic processes, this new textbook presents Probability and Statistics, and an intro...

In this Element the authors provide a detailed account of the advantages of using parcels, their potential pitfalls, as well as the techniques for ...

The book places a clear emphasis of the impact of information technology on the business world, drawing on recent literature and examples. Similarl...

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Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The fi...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fun...

Reducere. Contributor(s): Author: Antony DaviesThe modern world is brimming with statistical information--information relevant to our personal health and saf...

Focuses on underlying principles that are important to students in a range of disciplines. This book emphasizes the interpretation of results, the ...

Suitable for engineering and sciences students, this book emphasizes modern statistical methodology and data analysis.

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students how to re...

Monte Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the ba...

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Written for laboratory scientists, research clinicians and lab-based graduate students, this concise, practical book teaches readers how to confide...

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This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their appli...

Publisher: Pearson Education LimitedAuthor(s): Sharon MyersNumber of pages: 480Publication date: 2013Dimensions: 219 x 279 x 27Cover type: Paperbac...

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics...

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Description..".I know of no better book of its kind..." (Journal ofthe Royal Statistical Society, Vol 169 (1), January2006)A revised and updated ed...

A practical guide to methods of psychological research and the analytical procedures required in creating a research project in psychology.

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For more than thirty years, Writing for Social Scientists has been a lifeboat for writers in all fields, from beginning students to published autho...

This textbook emphasizes the applications of statistics and probability to finance. It reviews the basics and advanced topics are introduced, inclu...

Reducere. Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for bio...