Bücher von Steven Kay

Questioning refereeing decisions is part of the matchday experience - a topic for post-match debate - but all too often fans embarrass themselves by not knowing what they are talking about. The common one is "but he got the ball!" - even TV pundits, who are supposed to be there to provide expert analysis, often don't understand what Law 12 of the game actually means.This is a book for fans, for amateur players and lovers of the beautiful game. As well as a easy to follow look at the laws of the game, there are insights into how the laws developed, and a humorous take on the state of the modern game.

Up on the hills above the town Geoffrey Harland’s body lies in the snow with a bullet through his skull. Was it suicide or murder?    Intrigue, romance, and the solidarity of a mining community in the bitter Miners’ Strike of 1893 provide the backdrop to this story of triumph of the human spirit. It is a unique and genuine collaboration between two authors, with Steven Kay re-working a novel written by Alfred Fletcher in 1895. 

A contemporary political thriller based on the ridiculous notion of what might happen if a left-wing, Labour leader was resurgent despite all the attempts by the media to discredit him. What if, as an election approached, he started to gain traction because of a serious downturn in the economy, unrest in the country and corruption revealed at the highest levels? What if the electorate started seeing him as an answer to their problems? How would the right and big business react?Finding himself at the heart of a conspiracy is 30-year-old Health and Safety Inspector, Mitch Miller who falls in love with someone he shouldn’t and gets into very hot water. A modern day Romeo and Juliet facing car chases through the streets of Sheffield, murder, betrayal and kidnap. 

Offering an introduction to probability and random processes, this book merges theory with practice. It is suitable for undergraduate and first-year graduate students in engineering, practicing engineers as well as others having appropriate mathematical background.

Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.