✦ LIBER ✦

Bayesian inference for categorical data analysis

✍ Scribed by Alan Agresti; David B. Hitchcock

Publisher: Springer
Year: 2005
Tongue: English
Weight: 205 KB
Volume: 14
Category: Article
ISSN: 1613-981X
DOI: 10.1007/s10260-005-0121-y

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An Introduction to Categorical Data Anal

An Introduction to Categorical Data Analysis || Appendix A: Software for Categorical Data Analysis

✍ Agresti, Alan 📂 Article 📅 2007 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 156 KB 👁 2 views

All major statistical software has procedures for categorical data analyses. This appendix has emphasis on SAS. For information about other packages (such as S-plus, R, SPSS, and Stata) as well as updated information about SAS, see the web site www.stat.ufl.edu/∼aa/cda/software.html. For certain an

Dependent masking and system life data a

Dependent masking and system life data analysis: Bayesian inference for two-component systems

✍ Irwin Guttman; Dennis K. J. Lin; B. Reiser; John S. Usher 📂 Article 📅 1995 🏛 Springer 🌐 English ⚖ 601 KB

BAYESIAN DATA ANALYSIS.

✍ NICKY BEST 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 204 KB

Bayesian Inference for Multivariate Surv

Bayesian Inference for Multivariate Survival Data with a Cure Fraction

✍ Ming-Hui Chen; Joseph G. Ibrahim; Debajyoti Sinha 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 208 KB

We develop Bayesian methods for right censored multivariate failure time data for populations with a cure fraction. We propose a new model, called the multivariate cure rate model, and provide a natural motivation and interpretation of it. To create the correlation structure between the failure time

Bayesian data analysis for ERDA measurem

Bayesian data analysis for ERDA measurements

✍ E. Edelmann; K. Arstila; J. Keinonen 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 267 KB

In elastic recoil detection analysis (ERDA) the measured energy spectra suffers from broadening due to energy straggling, multiple and plural scattering, and surface roughness. This broadening in combination with measurements errors makes deconvolution problem associated with the determination of th

Applications of bootstrap methods for ca

Applications of bootstrap methods for categorical data analysis

✍ Myoungshic Jhun; Hyeong-Chul Jeong 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 127 KB

Simultaneous conÿdence regions for proportions of a single multinomial population, and for a ÿnite number of contrasts from several multinomial populations are proposed. In this paper bootstrap methods are used to construct conÿdence regions. We compare the performance of bootstrap methods with othe