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Structural Equation Modelling: A Bayesian Approach (Wiley Series in Probability and Statistics)
By Sik-Yum Lee
Publisher: Wiley
Number Of Pages: 458
Publication Date: 2007-03-23
ISBN-10 / ASIN: 0470024232
ISBN-13 / EAN: 9780470024232
Binding: Hardcover
Book Description:
Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples.
Structural Equation Modeling introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject’s recent advances.
Demonstrates how to utilize powerful statistical computing tools, including the Gibbs sampler, the Metropolis-Hasting algorithm, bridge sampling and path sampling to obtain the Bayesian results.
Discusses the Bayes factor and Deviance Information Criterion (DIC) for model comparison.
Includes coverage of complex models, including SEMs with ordered categorical variables, and dichotomous variables, nonlinear SEMs, two-level SEMs, multisample SEMs, mixtures of SEMs, SEMs with missing data, SEMs with variables from an exponential family of distributions, and some of their combinations.
Illustrates the methodology through simulation studies and examples with real data from business management, education, psychology, public health and sociology.
Demonstrates the application of the freely available software WinBUGS via a supplementary website featuring computer code and data sets.
Structural Equation Modeling: A Bayesian Approach is a multi-disciplinary text ideal for researchers and students in many areas, including: statistics, biostatistics, business, education, medicine, psychology, public health and social science.

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Bootstrap Methods: A Guide for Practitioners and Researchers (Wiley Series in Probability and Statistics)
By Michael R. Chernick
Publisher: Wiley-Interscience
Number Of Pages: 369
Publication Date: 2007-11-12
ISBN-10 / ASIN: 0471756210
ISBN-13 / EAN: 9780471756217
Binding: Hardcover
Book Description:
This book provides an introduction to the bootstrap, offering reliable, authoritative coverage of the bootstrap's considerable advantages--as well as its drawbacks. This Second Edition takes great care to draw connections between the more traditional resampling methods and the bootstrap and places even more emphasis on the use of the bootstrap as an exploratory tool.

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Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice (Wiley Series in Probability and Statistics)
By Natalia Markovich
Publisher: Wiley-Interscience
Number Of Pages: 336
Publication Date: 2007-12-21
ISBN-10 / ASIN: 0470510870
ISBN-13 / EAN: 9780470510872
Binding: Hardcover
Book Description:
Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer’s condition, possible non-existence of some moments, and sparse observations in the tail of the distribution.
The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function.
Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements.

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Applied Linear Regression (Wiley Series in Probability and Statistics)
By Sanford Weisberg
Publisher:   Wiley-Interscience
Number Of Pages:   336
Publication Date:   2005-02-11
Sales Rank:   495174
ISBN / ASIN:   0471663794
EAN:   9780471663799
Binding:   Hardcover
Book Description
Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool for learning how to use linear regression analysis techniques to solve and gain insight into real-life problems.

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Theory of Probability: A Critical Introductory Treatment (Wiley Series in Probability & Mathematical Statistics)
By Bruno De Finetti
Publisher: John Wiley & Sons
Number Of Pages: 675
Publication Date: 1992-06
ISBN-10 / ASIN: 0471588822
ISBN-13 / EAN: 9780471588825
Binding: Paperback

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Financial Derivatives in Theory and Practice (Wiley Series in Probability and Statistics)
By Philip Hunt, Joanne Kennedy
Publisher:   Wiley
Number Of Pages:   468
Publication Date:   2004-07-23
ISBN-10 / ASIN:   0470863595
ISBN-13 / EAN:   9780470863596
Binding:   Paperback
Product Description:
The term Financial Derivative is a very broad term which has come to mean any financial transaction whose value depends on the underlying value of the asset concerned. Sophisticated statistical modelling of derivatives enables practitioners in the banking industry to reduce financial risk and ultimately increase profits made from these transactions.
The book originally published in March 2000 to widespread acclaim. This revised edition has been updated with minor corrections and new references, and now includes a chapter of exercises and solutions, enabling use as a course text.
Comprehensive introduction to the theory and practice of financial derivatives.
Discusses and elaborates on the theory of interest rate derivatives, an area of increasing interest.
Divided into two self-contained parts – the first concentrating on the theory of stochastic calculus, and the second describes in detail the pricing of a number of different derivatives in practice.
Written by well respected academics with experience in the banking industry.
A valuable text for practitioners in research departments of all banking and finance sectors. Academic researchers and graduate students working in mathematical finance.

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Quantitative Methods in Population Health: Extensions of Ordinary Regression (Wiley Series in Probability and Statistics)
By Mari Palta
Publisher:   Wiley-Interscience
Number Of Pages:   311
Publication Date:   2003-08-04
ISBN-10 / ASIN:   0471455059
ISBN-13 / EAN:   9780471455059
Binding:   Hardcover
Product Description:
Each topic starts with an explanation of the theoretical background necessary to allow full understanding of the technique and to facilitate future learning of more advanced or new methods and software
Explanations are designed to assume as little background in mathematics and statistical theory as possible, except that some knowledge of calculus is necessary for certain parts.
SAS commands are provided for applying the methods. (PROC REG, PROC MIXED, and PROC GENMOD)
All sections contain real life examples, mostly from epidemiologic research
First chapter includes a SAS refresher

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Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics)
By Elisa T. Lee, John Wenyu Wang
Publisher:   Wiley-Interscience
Number Of Pages:   534
Publication Date:   2003-04-17
ISBN-10 / ASIN:   0471369977
ISBN-13 / EAN:   9780471369974
Binding:   Hardcover
Book Description:
Third Edition brings the text up to date with new material and updated references.
New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional hazards model (including stratification and time-dependent covariates); and multiple responses to the logistic regression model.
Coverage of graphical methods has been deleted.
Large data sets are provided on an FTP site for readers' convenience.
Bibliographic remarks conclude each chapter.

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alicelau217 2008-10-28 09:52 http://rapidshare.com/files/8559442/applied.bayesian.modelling-0471486957.pdf http://ifile.it/e3dvf4 Applied Bayesian Modelling (Wiley Series in Probability and Statistics) By Peter Congdon Publisher:   Wiley Number Of Pages:   478 Publication Date:   2003-05-06 ISBN-10 / ASIN:   0471486957 ISBN-13 / EAN:   9780471486954 Binding:   Hardcover Product Description: The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS – a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example – explaining fully the choice of model for each particular problem. The book · Provides a broad and comprehensive account of applied Bayesian modelling. · Describes a variety of model assessment methods and the flexibility of Bayesian prior specifications. · Covers many application areas, including panel data models, structural equation and other multivariate structure models, spatial analysis, survival analysis and epidemiology. · Provides detailed worked examples in WINBUGS to illustrate the practical application of the techniques described. All WINBUGS programs are available from an ftp site. The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis.

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Spatial Statistics (Wiley Series in Probability and Statistics)
By Brian D. Ripley
Publisher:   Wiley-Interscience
Number Of Pages:   272
Publication Date:   2004-08-09
ISBN-10 / ASIN:   047169116X
ISBN-13 / EAN:   9780471691167
Binding:   Paperback
Product Description:
Presents the first comprehensive guide to the analysis of spatial data. Each chapter covers a particular data format and the associated class of problems, introducing theory, giving computational suggestions, and providing examples. Methods are illustrated by computer-drawn figures. Serves as an introduction to this rapidly growing research area for mathematicians and statisticians, and as a reference to new computer methods for research workers in ecology, geology, archeology, and the earth sciences.