Paperback ISBN: 0-8058-5547-5
Hardcover ISBN: 0-8058-5546-7
Pub. Date: May 2006
Description
This book provides a comprehensive introduction to latent
variable growth curve modeling (LGM) for analyzing repeated
measures. It presents the statistical basis for LGM and its
various methodological extensions, including a number of
practical examples of its use. It is designed to take advantage
of the reader’s familiarity with analysis of variance and
structural equation modeling (SEM) in introducing LGM techniques.
Sample data, syntax, input and output, are provided for EQS,
Amos, LISREL, and Mplus on the book’s CD. Throughout the book,
the authors present a variety of LGM techniques that are useful
for many different research designs, and numerous figures provide
helpful diagrams of the examples.
Updated throughout, the second edition features three new
chapters?growth modeling with ordered categorical variables,
growth mixture modeling, and pooled interrupted time series LGM
approaches. Following a new organization, the book now covers the
development of the LGM, followed by chapters on multiple-group
issues (analyzing growth in multiple populations, accelerated
designs, and multi-level longitudinal approaches), and then
special topics such as missing data models, LGM power and Monte
Carlo estimation, and latent growth interaction models. The model
specifications previously included in the appendices are now
available on the CD so the reader can more easily adapt the
models to their own research.
This practical guide is ideal for a wide range of social and
behavioral researchers interested in the measurement of change
over time, including social, developmental, organizational,
educational, consumer, personality and clinical psychologists,
sociologists, and quantitative methodologists, as well as for a
text on latent variable growth curve modeling or as a supplement
for a course on multivariate statistics. A prerequisite of
graduate level statistics is recommended.
Contents:
Preface. Introduction. Specification of the LGM. LGM, Repeated
Measures ANOVA, and the Mixed Linear Model. Multivariate
Representations of Growth and Development. Analyzing Growth in
Multiple Populations. Accelerated Designs. Multilevel
Longitudinal Approaches. Growth Mixture Modeling. Piecewise and
Pooled Interruped Time Series LGMs. Latent Growth Curve Modeling
With Categorical Variables. Missing Data Models. Latent Variable
Framework for LGM Power Estimation. Testing Interaction Effects
in LGMs. Summary.
NEW IN PAPERBACK
ISBN-10: 0-19-920613-9
ISBN-13: 978-0-19-920613-1
Publication date: 6 July 2006
512 pages, 234mm x 156mm
Reviews
'Review from previous edition It is a high-quality and extensive
book of statistical terms covering a broad area of statistical
methodology in the areas of medicine, law, politics, economics,
finance, business and history ... This book would be a worthwhile
addition to a general technical reference library.' -Pharmaceutical
Statistics
'This statistical dictionary brings together an extensive
collection of statistical terminology regarding statistical
methodology used within all areas of statistics.' -Pharmaceutical
Statistics
'... a useful reference book.' -Statistics in Medicine
Description
Indispensable reference work providing reliable definitions of
statistical terms
Renowned international editorial board
Substantial list of references to provide further information
This is the new in paperback edition of The Oxford Dictionary of
Statistical Terms, the much-awaited sixth edition of the
acclaimed standard reference work in statistics, published on
behalf of the International Statistical Institute. The first
edition, known as the Dictionary of Statistical Terms, was edited
in 1957 by the late Sir Maurice Kendall and the late Dr W.R.
Buckland. As one of the first dictionaries of statistics it set
high standards for the subject, and became a well-respected
reference.
This edition has been carefully updated and extended to include
the most recent terminology and techniques in statistics.
Significant revision and expansion from an international
editorial board of senior statisticians has resulted in a
comprehenisive reference text which includes 30% more material
than previous editions. Ideal for all who use statistics in the
workplace and in research including all scientists and social
scientists, especially in law, politics, finance, business, and
history, it is an indispensable reference.
(Hardback)
ISBN-10: 0-19-857119-4
ISBN-13: 978-0-19-857119-3
Publication date: 7 September 2006
192 pages, 30 line drawings, 246mm x 171mm
Series: Oxford Graduate Texts
Description
A modern introduction to quantum information with emphasis on
quantum entanglement.
Discusses the physics behind introduced concepts at great length
and favours this to mathematical formalism.
Covers a number of non-standard topics, such as Maxwell's demon,
Landauer's erasure, the Bekenstein bound and Caratheodory's view
of the Second Law of thermodynamics.
Includes an explanation of the basic rules of quantum mechanics
as well as the more advanced topics of mixed states and
completely positive maps.
Includes an introduction to classical information theory.
This book offers a concise and up-to-date introduction to the
popular field of quantum information. It has originated in a
series of invited lecture courses at various universities in
different countries. This is reflected in its informal style of
exposition and presentation of key results in the subject. In
addition to treating quantum communication, entanglement and
algorithms in great depth, this book also addresses a number of
interesting miscellaneous topics, such as Maxwell's demon,
Landauer's erasure, the Bekenstein bound and Caratheodory's
treatment of the Second law of thermodyanmics. All mathematical
derivations are based on clear physical pictures which make even
the most involved results - such as the Holevo bound - look
comprehensible and transparent. The book is ideal as a first
introduction to the subject, but may also appeal to the
specialist due to its unique presentation.
Readership: Graduates and professionals in physics, mathematics,
computer science and engineering.
Contents
1 Classical Information
2 Quantum Mechanics
3 Quantum Information - The Basics
4 Quantum Communication with Entanglement
5 Quantum Information I
6 Quantum Information II
7 Quantum Entanglement - Introduction
8 Witnessing Quantum Entanglement
9 Quantum Entanglement Detection in Practice
10 Measures of Entanglement
11 Quantum Algorithms
12 Entanglement, Computation and Quantum Measurement
13 Quantum Error Correction
14 Outlook
(Hardback)
ISBN-10: 0-19-857000-7 / ISBN-13: 978-0-19-857000-4
(Paperback)
ISBN-10: 0-19-857049-X / ISBN-13: 978-0-19-857049-3
Publication date: 26 October 2006
288 pages, numerous b/w line drawings, 234mm x 156mm
Description
Assumes basic background in mathematics and computer science
Emphasis on pedagogical presentation of concepts
Clear, explanatory diagrams are provided throughout
Contains numerous integrated exercises
This concise, accessible text provides a thorough introduction to
quantum computing - an exciting emergent field at the interface
of the computer, engineering, mathematical and physical sciences.
Aimed at advanced undergraduate and beginning graduate students
in these disciplines, the text is technically detailed and is
clearly illustrated throughout with diagrams and exercises. Some
prior knowledge of linear algebra is assumed, including vector
spaces and inner products. However, prior familiarity with topics
such as tensor products and spectral decomposition is not
required, as the necessary material is reviewed in the text.
Readership: Undergradute and beginning graduate students in
mathematics, computer science, physics, and engineering
Contents
Preface
1 Introduction and background
2 Linear algebra and the Dirac notation
3 Qubits and the framework of quantum mechanics
4 A quantum model of computation
5 Superdense coding and quantum teleportation
6 Introductory quantum algorithms
7 Algorithms with super-polynomial speed-up
8 Algorithms based on amplitude amplification
9 Quantum computational complexity theory and lower bounds
10 Quantum error correction
Appendices
Bibliography
Index