Statistical Methods

Statistical Methods, Fourth Edition, is a textbook for undergraduates in statistics or graduate students in the physical, life, and social sciences that covers popular and practical statistical techniques. It provides an overview of statistical reasoning and equips readers with the insight needed to summarize data, recognize good experimental designs, implement appropriate analyses, and arrive at sound interpretations of statistical results.

Format: Paperback / softback
Length: 784 pages
Publication date: 31 August 2021
Publisher: Elsevier Science Publishing Co Inc

Statistical Methods, Fourth Edition, is a comprehensive textbook designed to introduce students to a diverse array of widely employed and practical statistical techniques. While requiring a foundational understanding of advanced mathematics, it is particularly well-suited for undergraduates pursuing statistics courses or graduate students specializing in the physical, life, and social sciences. By providing a comprehensive overview of statistical reasoning, this text equips readers with the necessary skills to effectively summarize data, identify robust experimental designs, execute appropriate analyses, and draw reliable conclusions from statistical findings.

The book begins by introducing fundamental concepts and principles of statistics, including probability theory, hypothesis testing, and statistical inference. It then delves into various statistical methodologies, such as descriptive statistics, exploratory data analysis, and regression analysis, providing detailed explanations and examples to facilitate a deep understanding of these techniques.

Throughout the text, real-world examples and case studies are employed to illustrate the practical applications of statistical methods. These examples range from scientific research to business analytics, allowing students to see how statistical techniques are used in real-world situations to solve complex problems and make informed decisions.

In addition to its theoretical coverage, Statistical Methods emphasizes the importance of statistical software and computational tools in modern statistical analysis. It provides guidance on selecting and using appropriate software packages, as well as demonstrating how to implement statistical algorithms and perform data manipulation and visualization using popular programming languages such as R and Python.

The Fourth Edition of Statistical Methods has been extensively revised and updated to reflect the latest developments in the field. It includes new chapters on machine learning, big data analysis, and statistical genetics, as well as updated coverage of existing topics such as Bayesian inference, survival analysis, and multivariate analysis.

Overall, Statistical Methods, Fourth Edition, is an essential resource for students seeking to develop a strong foundation in statistical analysis and apply these skills in a wide range of professional and academic contexts. Whether you are a aspiring statistician, data scientist, or researcher, this textbook will provide you with the knowledge and tools needed to succeed in your statistical endeavors.

Weight: 1380g
Dimension: 235 x 191 (mm)
ISBN-13: 9780128230435
Edition number: 4 ed