This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable models and new material for the practical implementation of integrated likelihood using the free ADMB software. Fundamental issues of statistical inference are also examined, with a presentation of some of the philosophical debates underlying the choice of statistical paradigm.
Provides an accessible introduction to pragmatic maximum likelihood modelling.
Covers more advanced topics, including general forms of latent variable models (including non-linear and non-normal mixed-effects and state-space models) and the use of maximum likelihood variants, such as estimating equations, conditional likelihood, restricted likelihood and integrated likelihood.
Adopts a practical approach, with a focus on providing the relevant tools required by researchers and practitioners who collect and analyze real data.
Presents numerous examples and case studies across a wide range of applications including medicine, biology and ecology.
Features applications from a range of disciplines, with implementation in R, SAS and/or ADMB.
Provides all program code and software extensions on a supporting website.
Confines supporting theory to the final chapters to maintain a readable and pragmatic focus of the preceding chapters.
This book is not just an accessible and practical text about maximum likelihood, it is a comprehensive guide to modern maximum likelihood estimation and inference. It will be of interest to readers of all levels, from novice to expert. It will be of great benefit to researchers, and to students of statistics from senior undergraduate to graduate level. For use as a course text, exercises are provided at the end of each chapter.
Apache Solr PHP Integration
For PHP developers who need to integrate a search facility into their applications, this guide is your passport to success. It takes you step by step through the great features of Apache Solr and how to implement them.
Understand the tools that can be used to communicate between PHP and Solr, and...
Researching Learning in Virtual Worlds (Human-Computer Interaction Series)
Most of the chapters in this book are extended papers from Research Learning in Virtual Environments (reLIVE08), an international conference held by the UK Open University in Milton Keynes in November 2008. Authors of the best papers and presentations from the conferences were invited to contribute to Research Learning in Virtual Worlds, the...
Modeling Semantic Web Services: The Web Service Modeling Language Semantic Web services promise to automate tasks such as discovery, mediation, selection, composition, and invocation of services, enabling fully flexible automated e-business. Their usage, however, still requires a significant amount of human intervention due to the lack of support for a machine-processable description.
In this book, Jos de...
Web Services Security
Minimize security risks in your system by successfully rolling out secure Web Services with help from this exceptional guide. Web Services Security covers everything network security professionals need to know, including details on Web Services architecture, SOAP, UDDI, WSDL, XML Signature, XML Encryption, SAML, XACML, XKMS, and...
CoffeeScript Programming with jQuery, Rails, and Node.js