EUROPEAN DOCUMENTATION CENTRE
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The following new publications are available for reference at the European Documentation Centre.
ANALYSIS OF LONGITUDINAL DATA (2nd edition)
Peter J. Diggle et al.
Oxford University Press
The first edition of Analysis for Longitudinal Data has become a classic. Describing the
statistical models and methods for the analysis of longitudinal data, it covers both the
underlying statistical theory of each method, and its application to a range of examples
from the agricultural and biomedical sciences. The main topics discussed are design
issues, exploratory methods of analysis, linear models for continuous data, general linear
models for discrete data, and models and methods for handling data and missing values.
Under each heading, worked examples are presented in parallel with the methodological
development, and sufficient detail is given to enable the reader to reproduce the author's
results using the data-sets as an appendix. This second edition, published for the first time
in paperback, provides a thorough and expanded revision of this important text. It includes
two new chapters; the first discusses fully parametric models for discrete repeated
measures data, and the second explores statistical models for time-dependent predictors.
STATISTICS AND SCIENTIFIC METHOD: AN INTRODUCTION FOR STUDENTS
AND RESEARCHERS
Peter J. Diggle & Amanda Chetwynd
Oxford University Press
This book studiously avoids the recipe-book style and keeps algebraic details of specific
statistical methods to the minimum extent necessary to understand the underlying
concepts. The text aims to give the reader a clear understanding of how core statistical
ideas of experimental design, modelling and data analysis are integral to the scientific
method. Aimed primarily at beginning postgraduate students across a range of scientific
disciplines, it therefore assumes some maturity of understanding of scientific method, but
does not require any prior knowledge of statistics, or any mathematical knowledge beyond
basic algebra and a willingness to come to terms with mathematical notation. Any
statistical analysis of a realistically sized data-set requires the use of specially written
computer software. An Appendix introduces the reader to our open-source software of
choice, R, whilst the book's web-page includes downloadable data and R code that
enables the reader to reproduce all of the analyses in the book and, with easy
modifications, to adapt the code to analyse their own data if they wish. However, the book
is not intended to be a textbook on statistical computing, and all of the material in the book
can be understood without using either R or any other computer software.
TEACHING STATISTICS: A BAG OF TRICKS
Andrew Gelman & Deborah Nolan
Oxford University Press
Gelman and Nolan have put together this fascinating and thought-provoking book. Based
on years of teaching experience the book provides a wealth of demonstrations, examples
and projects that involve active student participation. Part I of the book presents a large
selection of activities for introductory statistics courses and combines chapters such as,
'First week of class', with exercises to break the ice and get students talking; then
'Descriptive statistics' , collecting and displaying data; then follows the traditional topics linear regression, data collection, probability and inference. Part II gives tips on what does
and what doesn't work in class: how to set up effective demonstrations and examples, how
to encourage students to participate in class and work effectively in group projects. A
sample course plan is provided. Part III presents material for more advanced courses on
topics such as decision theory, Bayesian statistics and sampling.
QUANTITATIVE METHODS FOR DECISION MAKING USING EXCEL
Glyn Davis & Branko Pecar
Oxord University Press
Quantitative Methods for Decision Making is a comprehensive guide that provides
students with the key techniques and methodology they will need to successfully engage
with all aspects of quantitative analysis and decision making; both on their undergraduate
course, and in the larger context of their future business environments. Organized in
accordance with the enterprise functional structure where the decision making takes place,
the textbook encompasses a broad range of functions, each detailed with clear examples
illustrated through the single application tool Microsoft Excel. The authors approach a
range of methods which are divided into major enterprise functions such as marketing,
sales, business development, manufacturing, quality control and finance; illustrating how
the methods can be applied in practice and translated into a working environment. Each
chapter is packed with short case studies to exemplify the practical use of techniques, and
contains a wealth of exercises after key sections and concepts, giving students the
opportunity to monitor their own progress using the solutions at the back of the book.
A GENTLE INTRODUCTION TO STATA (3rd edition, revised)
Alan C. Acock
Stata Press
Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third
Edition continues to help new Stata users become proficient in Stata. After reading this
introductory text, you will be able to enter, build, and manage a data set as well as perform
fundamental statistical analyses. New to the Third Edition A new chapter on the analysis of
missing data and the use of multiple-imputation methods Extensive revision of the chapter
on ANOVA Additional material on the application of power analysis The book covers data
management; good work habits, including the use of basic do-files; basic exploratory
statistics, including graphical displays; and analyses using the standard array of basic
statistical tools, such as correlation, linear and logistic regression, and parametric and
nonparametric tests of location and dispersion. Rather than splitting these topics by their
Stata implementation, the material on graphics and postestimation are woven into the text
in a natural fashion. The author teaches Stata commands by using the menus and dialog
boxes while still stressing the value of do-files. Each chapter includes exercises and real
data sets are used throughout.
APPLIED PANEL DATA ANALYSIS FOR ECONOMIC AND SOCIAL SURVEYS
Hans-Jürgen Andreß et al.
Springer-Verlag
Many economic and social surveys are designed as panel studies, which provide
important data for describing social changes and testing causal relations between social
phenomena. This textbook shows how to manage, describe, and model these kinds of
data. It presents models for continuous and categorical dependent variables, focusing
either on the level of these variables at different points in time or on their change over
time. It covers fixed and random effects models, models for change scores and event
history models. All statistical methods are explained in an application-centered style using
research examples from scholarly journals, which can be replicated by the reader through
data provided on the accompanying website. As all models are compared to each other, it
provides valuable assistance with choosing the right model in applied research. The
textbook is directed at master and doctoral students as well as applied researchers in the
social sciences, psychology, business administration and economics. Readers should be
familiar with linear regression and have a good understanding of ordinary least squares
estimation.
EC COMPETITION LAW: TEXT, CASES AND MATERIALS (4th edition)
Alison Jones and Brenda Sufrin
Oxford University Press
By providing a careful selection of case law and journal opinion combined with penetrating
analysis, critique and commentary, EU Competition Law: Text, Cases, and Materials
provides a stand-alone guide that really helps the reader get to grips with this challenging
area of law. This fourth edition has been fully updated to cover recent developments within
EU competition law including the implications for state aid following government bail-outs
of the banking sector, the Commission Guidance Paper on the application of Article 82,
and all of the major cases including France Telecom v Commission (2008) and the actions
brought against Microsoft and Intel.
COMPETITION LAW (7th edition)
Richard Whish & David Bailey
Oxford University Press
Richard Whish and David Bailey's Competition Law is the definitive textbook on this
subject. The authors' authoritative treatment of the area is matched by a lively and easyto-follow writing style, making this book an indispensable resource for undergraduate and
postgraduate law and economics students, as well as for practitioners and officials
involved in competition law. Explaining the economic context within which competition law
operates in the UK, EU and internationally, the authors look at the constituent parts of the
law and analyze how they affect commercial phenomena. Key aspects are examined in
detail, including mergers, horizontal and vertical agreements, the Abuse of Dominance,
Intellectual Property and the obligations of Member States under the EC. The book also
scrutinizes fundamental Acts and Articles - Competition Act 1998; Enterprise Act 2002;
Articles 101 and 102 - providing readers with context, consequences and an overview of
how these are applied in practice. Online Resource Centre The Online Resource Centre
that accompanies this edition of the book contains an author video podcasts, articles from
the authors, useful web links, and extended versions of the tables in the text. This book is
essential reading for students, practitioners and officials seeking a respected, reliable,
intelligent and critical approach to competition law.