Neave Statistics Tables

For Mathematicians, Engineers, Economists and the Behavioural and Management Sciences
2. Auflage 2013
ISBN: 978-1-136-95218-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 96 Seiten

For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has seen a large increase in the level of mathematics and statistics required to achieve these qualifications and Statistics Tables has helped several generations of students meet their goals.

All the features of the first edition are retained including the full range of best-known standard statistical techniques, as well as some lesser-known methods that can be hard to track down elsewhere. The explanatory introductions to each section have been updated and the second edition benefits from the inclusion of a valuable and comprehensive new section on an approach to simple but powerful investigation of process data. This will help the book continue in its position as the prime statistical reference for all students of mathematics, engineering and the social sciences, and everyone who needs effective methods for analysing data.

Autoren/Hrsg.

Neave, Henry R.

Neave, Henry

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein
• Mathematik | Informatik Mathematik Mathematik Allgemein

Inhaltsverzeichnis

Preface 1. Discrete Probability Distributions 2. The Normal Distrubtion 3. Continuous Probability Distributions 4. Analysis of Variance 5. Nonparametrics Tests 6. Correlation 7. Random Numbers 8. Quality Control and Improvement 9. Miscellaneous

Über Autor(innen)

Henry R. Neave spent the first half of his career as lecturer in the Mathematics Department of the University of Nottingham. During part of this time he also held positions of Assistant Visiting Professor at the University of Wisconsin and Research Fellow at McGill University, and became a statistical quality advisor to companies in Britain and elsewhere in Europe. During the second half of his career he became increasingly involved with statistical contributions to the field of quality improvement. In 2001 his work in this area was recognised both in Britain by being confirmed as a Companion of the Institute of Quality Assurance (now the Chartered Quality Institute) and in America by the award of the American Society for Quality's Deming Medal. Prior to his retirement in 2004 he held the position of W Edwards Deming Professor of Leadership and Management at the Nottingham Trent University.