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Statistics is the branch of mathematics that deals with real-life problems. As such, it is an essential tool for economists. Unfortunately, the way the concept of statistics is introduced to students is not compatible with the way economists think and learn. The problem is worse…
This textbook provides a guide for students using a computer package to analyse data from research projects and practical class work. The text takes a pragmatic approach to statistics with a strong focus on what is actually needed. There are chapters giving useful advice on the …
Relevant, concrete, and thorough--the essential data-based text on statistical inference The ability to formulate abstract concepts and draw conclusions from data is fundamental to mastering statistics. Aspects of Statistical Inference equips advanced undergraduate and graduate …
"Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologists training. This accessible book provides a contemporary introduction to the classical techniques and …
The goal of this textbook to help readers overcome any fear of statistics, especially those mathematically unsophisticated students in behavioral sciences, social sciences, health sciences and education. How? When not obscured by mathematical treatments better reserved for more …
This textbook takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. It begins by explaining ba…
With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts of applying statistical methods to these areas tend to…
"This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Pro…
Since the publication of the first edition of "Empirical Bayes methods" in 1970, there have been many contributions to the theory known as the empirical Bayes approach. This book collects and presents practical examples of the application of empirical Bayes ideas and techniques.
Since the publication of the first edition of "Empirical Bayes methods" in 1970, there have been many contributions to the theory known as the empirical Bayes approach. This book collects and presents practical examples of the application of empirical Bayes ideas and techniques.