Author: Yudi Pawitan
Publisher: Oxford University Press, USA
Keywords: likelihood, using, inference, modelling, statistical
Number of Pages: 544
Published: 2001-08-30
List price: $114.99
ISBN-10: 0198507658
ISBN-13: 9780198507659

This text concentrates on what can be achieved using the likelihood/Fisherian methods of taking into account uncertainty when studying a statistical problem. It takes the concept of the likelihood as the best method for unifying the demands of statistical modeling and theory of inference. Every likelihood concept is illustrated with realistic examples ranging from a simple comparison of two accident rates to complex studies that require generalized linear or semiparametric modeling. The emphasis is on likelihood not as just a device used to produce an estimate, but as an important tool for mod

Author: A. W. F. Edwards
Publisher: The Johns Hopkins University Press
Keywords: likelihood
Number of Pages: 296
Published: 1992-10-01
List price: $27.00
ISBN-10: 0801844436
ISBN-13: 9780801844430

"The book is indeed a classic. Virtually every philosopher of science now writing about probabilistic inference has been influenced by Edwards’ book, and his ideas are now as alive and relevant as they were when the book first appeared. Edwards is an absolutely seminal thinker in the foundations of statistics and scientific inference." -- Elliott Sober, University of Wisconsin-Madison."Full of appropriate examples (especially from genetics) and historical commentary, this monograph offers a rare simultaneous treatment of both mathematical and philosophical foundations." -- American Math

Author: Art B. Owen
Publisher: Chapman and Hall/CRC
Keywords: likelihood, empirical
Number of Pages: 320
Published: 2001-05-18
List price: $99.95
ISBN-10: 1584880716
ISBN-13: 9781584880714

Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It also facilitates incorporating side information, and it simplifies accounting for censored, truncated, or biased sampling.One of the first books published on the subject, Empirical Likelihood offers an in-depth treatment of this method for constructing

Author: A. W. F. Edwards
Publisher: Cambridge University Press
Keywords: classics, science, cambridge, likelihood
Number of Pages: 250
Published: 1985-01-25
List price: $21.95
ISBN-10: 0521318718
ISBN-13: 9780521318716

Dr Edwards’ stimulating and provocative book advances the thesis that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom, but rather likelihood - the concept introduced by Fisher as a measure of relative support amongst different hypotheses. Starting from the simplest considerations and assuming no more than a modest acquaintance with probability theory, the author sets out to reconstruct nothing less than a consistent theory of statistical inference in science.

Author: Clive Loader
Publisher: Springer
Keywords: computing, statistics, likelihood, regression, local
Number of Pages: 308
Published: 1999-07-30
List price: $159.00
ISBN-10: 0387987754
ISBN-13: 9780387987750

Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.

Authors:Wilfrid S. Kendall, M.N.M. van Lieshout,
Publisher: Chapman and Hall/CRC
Keywords: computation, likelihood, geometry, stochastic
Number of Pages: 408
Published: 1998-10-20
List price: $119.95
ISBN-10: 0849303966
ISBN-13: 9780849303968

Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themeso co

Authors:David F. Hendry, Bent Nielsen,
Publisher: Princeton University Press
Keywords: approach, likelihood, modeling, econometric
Number of Pages: 378
Published: 2007-03-05
List price: $57.50
ISBN-10: 0691130892
ISBN-13: 9780691130897

Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques.David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrate