Series: Monographs on Statistics and Applied Probability
ISBN: 1-58488-410-X
Publication Date: 12/12/2003
Number of Pages: 256
A textbook format ideally suited for use as a graduate text in
spatial statistics or as a supplementary text for lower-level
course in spatial statistics or Bayesian statistics
Summaries of analysis methods for spatial data and Bayesian
techniques and computing
A team of authors who are leading researchers in the field
Applications in epidemiology, public health, geography, and
environmental science
This is the first practical treatment of Bayesian methods,
modeling, and data analysis focused specifically on spatial and
spatio-temporal data. Written by pre-eminent researchers in the
field, it covers state-of-the-art methods for hierarchical
modeling of spatial data sets, but for the uninitiated, includes
gentle overviews of both spatial data analysis methods and
Bayesian methodology and computing. Each chapter contains
exercises, and a partial solution list is provided in an appendix.
Sample WinBUGS code supporting many of the problems is available
for download from the Internet.
ISBN: 1-58488-408-8
Publication Date: 8/15/2003
Number of Pages: 224
Fills the need for an intermediate textbook for a first-course on
survival analysis
Presents material on parametric models and corresponding
procedures but does not require a high level of mathematics
background
Offers a lecture-book format that presents a list of objectives
at the beginning of each chapters and a summary of results for
each analysis
Provides a Web site containing a wealth of supporting materials
Survival Analysis Using S: Analysis of Time-to-Event Data is
designed as text for a one-semester class in survival analysis
for upper-level or graduate students in statistics,
biostatistics, and epidemiology. It requires only a first course
in probability and statistics as a prerequisite. The authors
emphasize parametric models and the advantages of hazard plots
over survivor plots. Easy-to-follow S programs are interwoven
throughout the book, and a supporting Web site contains S code, S-functions
created by the authors, SAS codes, all of the data sets used in
the book, and some additional data sets.
ISBN: 1-58488-369-3
Publication Date: 11/14/2003
Number of Pages: 320
Provides concise, straightforward descriptions of how to conduct
a range of statistical analyses using the latest version of SPSS
Includes exercises and model answers in each chapter relating to
the data sets introduced
Presents a different type of analytical procedure in each chapter
and applies it to one or more data sets
Offers a companion Web site from which all the datasets described
in the book are available to download
A Handbook of Statistical Analyses Using SPSS clearly describes
how to conduct a range of univariate and multivariate statistical
analyses using the latest version of the Statistical Package for
the Social Sciences, SPSS 11. Each chapter addresses a different
type of analytical procedure applied to one or more data sets,
primarily from the social and behavioral sciences areas. Each
chapter also contains exercises relating to the data sets
introduced, providing readers with a means to develop both their
SPSS and statistical skills. Model answers to the exercises are
also provided. Readers can download all of the data sets from a
companion Web site furnished by the authors.
Series: Discrete Mathematics and Its Applications
ISBN: 1-58488-090-2
Publication Date: 11/15/2003
Number of Pages: 592
Provides a unified, up-to-date resource for graph theory and its
applications
Presents core definitions, facts, methods, examples, historical
data, and unsolved problems
Identifies major application areas, furnishes clear explanations
of the objectives in each area and presents the relevant graph-theoretic
models, complete with descriptions of the special problems
associated with each
Emphasizes practical results and methods
Contains a comprehensive glossary and numerous illustrations
Rapid growth and a proliferation of literature scattered
throughout application areas have made it often difficult to
locate information in graph theory. This new handbook provides a
unified guide to graph theory and its most important applications.
This single resource offers quick, convenient access to the most
widely needed concepts, methods, facts, data, and terminology in
graph theory, all presented in ready-to-use form. Part A
addresses general concepts and methods, Part B explores
applications, specifies graph theoretic models for each, presents
important results, and explains current objectives. Part C
comprises a glossary that helps readers makes sense out of the
often inconsistent and confusing terminology used in various
sectors of the field.