Modeling and Prediction Honoring Seymour Geisser

Name: Modeling and Prediction Honoring Seymour Geisser
Price: 54.0 USD
Availability: InStock
ISBN: 9780387948089

ISBN-10: 0387948082

ISBN-13: 9780387948089

Edition: 1996

Authors: Geisser Geisser, Jack C. Lee, Wesley O. Johnson, Arnold Zellner

List price: $99.00

30 day, 100% satisfaction guarantee!

Marketplace

4 new & used from $54.00

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Description:

This work contains the proceedings of the Conference on Forecasting, Prediction and Modelling, held at National Chiao Tung University, Taiwan in 1994. The papers discuss general methodological issues such as: prediction; design of experiments and classification; prior distributions and estimation; posterior odds, testing and model selection; modelling and prediction in finance; and time series modelling and applications. Specific topics includes statistical issues related to DNA fingerprinting and spatial image reconstruction, foundational issues for applied statistics and testing hypotheses, forecasting tax revenues and bond prces and assessing oxone depletion.

Book details

List price: $99.00
Copyright year: 1996
Publisher: Springer
Publication date: 7/19/1996
Binding: Hardcover
Pages: 448
Size: 6.75" wide x 9.75" long x 1.25" tall
Weight: 1.848
Language: English

SEYMOUR GEISSER, PHD, was Professor of Statistics and Director of the School of Statistics, University of Minnesota, for more than thirty years. In addition to publishing more than 150 scholarly papers and reviews, Dr. Geisser was the Editor of four important volumes in statistical inference and applications, and the author of the unique and critically acclaimed book Predictive Inference.



Preface


After Dinner Remarks: On the Occasion of Seymour Geisser's 65th Birthday, Hsinchu, Taiwan, December 13, 1994



Story about Cosimo di Medici



Some Statistical Issues in Forensic DNA Profiling



Statistical Practice as Argumentation: A Sketch of a Theory of Applied Statistics



Decision Rules and Market Share: Aggregation in an Information Contagion Model



Bayesian Method of Moments (BMOM) Analysis of Mean and Regression Models



On the Prediction of Growth Curves



Predictive Influence in the Log Normal Survival Model



Selecting the Form of Combining Regressions Based on Recursive Prediction Criteria



Multiperiod-Ahead Predictive Densities and Model Comparison in Dynamic Models



Bayesian Prediction Under Asymmetric Linear Loss: Forecasting State Tax Revenues in Iowa



On Small Sample Bayesian Inference and Sequential Design for Quantal Response Curves



Some Simulation Results for the Performance of DNA Classification of Noisy Image Data



Case-Control Studies and Bayesian Inference



Orthogonalizations and Prior Distributions for Orthogonalized Model Mixing



Improved Quasi-Maximum Likelihood Estimation for Stochastic Volatility Models



Bayesian Inference for Linear Models Subject to Inequality Constraints



The Asymptotic Distribution of the Maximum Likelihood and Mantel-Haenszel Estimators of the Common Odds Ratio in k 2x2 Tables



On the Justification of Default and Intrinsic Bayes Factors



Tests on Independence of VNTR Alleles in the Chinese Population in Hong Kong



Bayes Factors for Testing the Equality of Covariance Matrix Eigenvalues



Model Selection in Parapsychology: Psychokinesis, Precognition or Chance



An Empirical Bayesian Approach to Cointegrating Rank Selection and Test of the Present Value Model for Stock Prices



Prediction of Individual Bond Prices via the TDM Model



On the Use of Canonical Correlation Analysis in Testing Common Trends



Conjugate Processes



Nonlinear Time Series-Bifurcation, Chaos and Stationarity



The VAR-VARCH Model: A Bayesian Approach



Statistical Assessment of Atmospheric Ozone Data for Depletion



Author Index


Subject Index