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Listen to Coronavirus Patient Zero

A Rum Ole Norfolk Year

RRP $18.65

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When author Keith Skipper started to keep a comprehensive daily diary just as 1984 dawned, he knew there must be room for smaller local items to spice up his pages and underline Norfolk's well-deserved reputation for dewin' diffrunt and then confusing the rest of the world even more by laughing at the results.
The general idea behind this book, his 40th off the Norfolk production line, is to salute the downright silly, acknowledge the outstanding achievers, bless those able to brighten the bleakest of days and congratulate all with a penchant for attracting publicity in the name of home-grown posterity.
There are a few recurring themes - such as loyal service to local communities and the changing face of country life - but these month-by-month selections from over 30 years of eavesdropping and jotting around his native patch tend to emphasise a natural passion for the mildly unbecoming or markedly unusual.
For example, the following pages reveal what were called "hideosities" by a local councillor, who had a pacemaker fitted at the age of 107, where it was planned to put horses into nappies, why a bride turned up for her wedding in a wheelbarrow and when Sherba, Lady Baa Baa and Ewesain Bolt caused a village flutter.


Rumney And The Wentlooge Level

RRP $17.99

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Presents a pictorial history of Rumney through a series of photographs and images.


Singular Spectrum Analysis

RRP $436.99

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The term singular spectrum comes from the spectral (eigenvalue) decomposition of a matrix A into its set (spectrum) of eigenvalues. These eigenvalues, A, are the numbers that make the matrix A -AI singular. The term singular spectrum analysis* is unfortunate since the traditional eigenvalue decomposition involving multivariate data is also an analysis of the singular spectrum. More properly, singular spectrum analysis (SSA) should be called the analysis of time series using the singular spectrum. Spectral decomposition of matrices is fundamental to much the- ory of linear algebra and it has many applications to problems in the natural and related sciences. Its widespread use as a tool for time- series analysis is fairly recent, however, emerging to a large extent from applications of dynamical systems theory (sometimes called chaos theory). SSA was introduced into chaos theory by Fraedrich (1986) and Broomhead and King (l986a). Prior to this, SSA was used in biological oceanography by Colebrook (1978). In the digi- tal signal processing community, the approach is also known as the Karhunen-Loeve (K-L) expansion (Pike et aI., 1984). Like other techniques based on spectral decomposition, SSA is attractive in that it holds a promise for a reduction in the dimen- * Singular spectrum analysis is sometimes called singular systems analysis or singular spectrum approach. vii viii Preface sionality. This reduction in dimensionality is often accompanied by a simpler explanation of the underlying physics.



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