For Mathematicians, Engineers, Economists and the Behavioural and Management Sciences
Author: Henry R. Neave
Category: Business & Economics
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.
Quantitative and Statistical Approaches to Geography: A Practical Manual is a practical introduction to some quantitative and statistical techniques of use to geographers and related scientists. This book is composed of 15 chapters, each begins with an outline of the purpose and necessary mechanics of a technique or group of techniques and is concluded with exercises and the particular approach adopted. These exercises aim to enhance student's ability to use the techniques as part of the process by which sound judgments are made according to scientific standards while tackling complex problems. After a brief introduction to the principles of quantitative and statistical geography, this book goes on dealing with the topics of measures of central tendency; probability statements and maps; the problem of time-dependence, time-series analysis, non-normality, and data transformations; and the elements of sampling methodology. Other chapters cover the confidence intervals and estimation from samples, statistical hypothesis testing, analysis of contingency tests, and non-parametric tests for independent and dependent samples. The final chapters consider the evaluation of correlation coefficients, regression prediction, and choice and limitations of statistical techniques. This book is of value to undergraduate geography students.
This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid. The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.
A revised and updated guide to reference material. It contains selective and evaluative entries to guide the enquirer to the best source of reference in each subject area, be it journal article, CD-ROM, on-line database, bibliography, encyclopaedia, monograph or directory. It features full critical annotations and reviewers' comments and comprehensive author-title and subject indexes. The contents include: mathematics; astronomy and surveying; physics; chemistry; earth sciences; palaeontology; anthropology; biology; natural history; botany; zoology; patents and interventions; medicine; engineering; transport vehicles; agriculture and livestock; household management; communication; chemical industry; manufactures; industries, trades and crafts; and the building industry.
This new edition of Lee's popular book introduces the Bayesian philosophy of statistics. It has been completely updated and features new chapters on Gibbs sampling and hierarchical methods and more exercises.
Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, as Oakes demonstrates in this introduction to the subject which is designed for the use of non-mathematicians.