Primer in Data Reduction: An Introductory Statistics Textbook - Tapa blanda

Acerca del autor

Andrew Ehrenberg (1 May 1926 – 25 August 2010) was a statistician and marketing scientist. For over half a century, he made contributions to the methodology of data collection, analysis and presentation, and to understanding buyer behaviour and how advertising works.
 
Andrew Ehrenberg was born in Germany in 1926 into a well-known academic family. His father was Hans Ehrenberg, his uncle was the historian Victor Ehrenberg, and Geoffrey and Lewis Elton his cousins. He moved to England with his parents in 1938, and attended Queen's College, Taunton. Subsequently he studied statistics at Kings College, Newcastle and Cambridge University.

De la contraportada

This is an introductory text in statistics for those who are not specialists in the subject. It makes the subject more relevant for students who have to use statistics as part of their other studies. It avoids mathematics without oversimplifying, emphasizing numeracy and relevance. It not only describes traditional statistical methods but deals with their limitations and discusses alternatives.

The approach derives from the Author's earlier successful book on Data Reduction adapted here for classroom use. It covers the basic topics of a statistics course: averages and measures of scatter, frequency distributions and probability, sampling and statistical inference, relationships (including correlation regression, lawlike relationships, and an introduction to multivariate methods), the communication of data, and the design and interpretation of scientific studies. A teachers' guide is available from the publishers.

"Data Reduction is a very innovative different kind of basic statistical book. I believe our discipline and the disciplines of those whose students we teach would be much better off if we based our first and second courses on Ehrenberg's book rather than on any book of which I am aware."
—Brian L. Joiner, review of Data Reduction, JASA, September 1982

"It is rare for a text-book, particularly an elementary one, to appeal to the established practitioner many of the tenets contained in this excellent, clear, short and readable work, make one regret it was not available sooner."
—The Business Economist, Spring 1983

"If you have time to read just one book on basic statistics, The Primer should be it.
—Chuck Chakrapani, PMRS Journal, Toronto, Nov 1982

De la solapa interior

This is an introductory text in statistics for those who are not specialists in the subject. It makes the subject more relevant for students who have to use statistics as part of their other studies. It avoids mathematics without oversimplifying, emphasizing numeracy and relevance. It not only describes traditional statistical methods but deals with their limitations and discusses alternatives.

The approach derives from the Author's earlier successful book on Data Reduction adapted here for classroom use. It covers the basic topics of a statistics course: averages and measures of scatter, frequency distributions and probability, sampling and statistical inference, relationships (including correlation regression, lawlike relationships, and an introduction to multivariate methods), the communication of data, and the design and interpretation of scientific studies. A teachers' guide is available from the publishers.

Data Reduction is a very innovative different kind of basic statistical book. I believe our discipline and the disciplines of those whose students we teach would be much better off if we based our first and second courses on Ehrenberg's book rather than on any book of which I am aware.
--Brian L. Joiner, review of Data Reduction, JASA, September 1982

It is rare for a text-book, particularly an elementary one, to appeal to the established practitioner many of the tenets contained in this excellent, clear, short and readable work, make one regret it was not available sooner.
--The Business Economist, Spring 1983

If you have time to read just one book on basic statistics, The Primer should be it.
--Chuck Chakrapani, PMRS Journal, Toronto, Nov 1982