Restricted most powerful Bayesian tests for linear models-Reference-Cited by-同舟云学术

Restricted most powerful Bayesian tests for linear models

Published:2016-07-22 Issue:4 Volume:43 Page:1162-1177
ISSN:0303-6898
Container-title:Scandinavian Journal of Statistics
language:en
Short-container-title:Scand J Statist

Author:

Goddard Scott D.¹,Johnson Valen E.²

Affiliation:

1. Department of Mathematics and Statistics University of Alaska Fairbanks

2. Department of Statistics Texas A & M University

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12235

Reference20 articles.

1. Preparing statisticians for careers in industry;American Statistical Association Committee on Training of Statisticians for Industry;Amer. Statist,1980

2. Testing Precise Hypotheses

3. Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence

4. Bayesian statistical inference for psychological research.

5. Feldkircher M.&Zeugner S.(2009).Benchmark priors revisited: On adaptive shrinkage and the supermodel effect in Bayesian model averaging. IMF working paper WP/09/202 International Monetary Fund.Washington DC USA.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the Existence of Uniformly Most Powerful Bayesian Tests With Application to Non-Central Chi-Squared Tests;Bayesian Analysis;2021-03-01

2. Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality;Computational Statistics;2020-09-20

3. Bayesian and frequentist testing for differences between two groups with parametric and nonparametric two‐sample tests;WIREs Computational Statistics;2020-07-13

4. A Bayesian-motivated test for high-dimensional linear regression models with fixed design matrix;Statistical Papers;2020-01-22

5. Bayesian t-tests for correlations and partial correlations;Journal of Applied Statistics;2019-11-21