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Statistical Principles and Techniques in Scientific and Social Research
This graduate-level text provides a survey of the logic and reasoning underpinning statistical analysis, as well as giving a broad-brush overview of the various statistical techniques that play a major role in scientific and social investigations. Arranged in rough historical order, the text starts with the ideas of probability that underpin statistical methods and progresses through the developments of the nineteenth and twentieth centuries to modern concerns and solutions. Assuming only a basic level of Mathematics and with numerous examples and illustrations, this text presents a valuable resource not only to the experienced researcher but also to the student, by complementing courses in a wide range of substantive areas and enabling the reader to rise above the details in order to see the overall structure of the subject.
Principles of Multivariate Analysis
Multivariate analysis is necessary whenever more than one characteristic is observed on each individual under study. Applications arise in very many areas of study. This book provides a comprehensive introduction to available techniques for analysing date of this form, written in a style that should appeal to non-specialists as well as to statisticians. In particular, geometric intuition is emphasized in preference to algebraic manipulation wherever possible. The new edition includes a survey of the most recent developments in the subject.
ROC Curves for Continuous Data
Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. ROC Curves for Continuous Data is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear understanding of how to analyze ROC curves.The fundamenta
Recent Advances in Descriptive Multivariate Analysis
This book contains a collection of commissioned, edited chapters on the general theme of descriptive multivariate analysis, provided by a series of contributors to a symposium held at the University of Exeter. Areas covered include cluster analysis, principal components, canonicalcorrelations and varieties, nonlinear methods, biplots, Procrustes analysis, correspondence analysis, graphical models, and analysis of functional data. The emphasis throughout is on methodology, but computational aspects and applications are also highlighted where appropriate. Each chapter iswritten by an expert in the field, and the book as a whole provides a state of the art summary of the descriptive multivariate area. The academic level lies between that of an introduction to the subject and an advanced monograph, and the book contains numerous topics not covered elsewhere inexisting texts.
Statistical Principles and Techniques in Scientific and Social Research
This text provides a clear discussion of the basic statistical concepts and methods frequently encountered in statistical research. Assuming only a basic level of Mathematics, and with numerous examples and illustrations, this text is a valuable resource for students and researchers in the Sciences and Social Sciences.
An Introduction to Statistical Modelling
Statisticians rely heavily on making models of 'causal situations' in order to fully explain and predict events. Modelling therefore plays a vital part in all applications of statistics and is a component of most undergraduate programmes. 'An Introduction to Statistical Modelling' provides a single reference with an applied slant that caters for all three years of a degree course. The book concentrates on core issues and only the most essential mathematical justifications are given in detail. Attention is firmly focused on the statistical aspects of the techniques, in this lively, practical approach.
Statistical Principles and Techniques in Scientific and Social Investigations
Assuming only a basic level of mathematics, this text provides a clear discussion of the basic statistical concepts and methods frequently encountered in statistical research.
Multivariate Analysis, Volume 1, Part 1
A common and important statistical technique, multivariate analysis has applications in a wide range of fields of study including subjects as diverse as biology and linguistics. This two part overview provides comprehensive coverage of all the available techniques for analyzing data in this form. The first part, on distributions, ordination and inference, concentrates on basic techniques. While full technical details are supplied, the emphasis throughout is on a readable and user-friendly presentation with ample use of illustrative exercises.
Multivariate Analysis, Volume 2, Part 2
A readable and user-friendly presentation of multivariate analysis A common and important statistical technique, multivariate analysis has applications in a wide range of fields of study, including subjects as diverse as biology and linguistics. Multivariate Analysis is a two-part overview that provides comprehensive coverage of all the available techniques for analyzing data in this form. The first part — on distributions, ordination, and inference — concentrates on basic techniques. While full technical details are supplied, the emphasis throughout is on a readable and user-friendly presentation with ample use of illustrative exercises.
