Bayesian Methods for Finite Population Sampling
β Scribed by M. Ghosh, G. Meeden (auth.)
- Publisher
- Springer US
- Year
- 1997
- Tongue
- English
- Leaves
- 296
- Series
- Monographs on Statistics and Applied Probability 79
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Front Matter....Pages i-x
Bayesian foundations....Pages 1-19
A noninformative Bayesian approach....Pages 21-60
Extensions of the Polya posterior....Pages 61-159
Empirical Bayes estimation....Pages 161-220
Hierarchical Bayes estimation....Pages 221-273
Back Matter....Pages 275-289
π SIMILAR VOLUMES
<B>Contents:</B> Decision Theoretic Foundations in Survey Sampling.- Minimax Solutions in Permutation Invariant Parameter Spaces.- The Cuboid as Parameter Space.- The HH-Space as Parameter Space.- The Generalized HH-Space as Parameter Space.- Bibliog- raphy.- List of Notation.- Subject Index.
Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to eas
<p>A large number of papers have appeared in the last twenty years on estimating and predicting characteristics of finite populations. This monograph is designed to present this modern theory in a systematic and consistent manner. The authors' approach is that of superpopulation models in which valu
A trusted classic on the key methods in population samplingβnow in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible sty
<b>A trusted classic on the key methods in population samplingβnow in a modernized and expanded new edition</b><p><i>Sampling of Populations</i>, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and a