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A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics
Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. For more information and to purchase this book, please click here.
The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps.
Eric Sowey and Peter Petocz (2017), A panorama of statistics – perspectives, puzzles
This is a popular book on statistics for anyone who already knows something of the
For further description of this book and its intended readership, see the two-page flyer