Approximate repeated-measures shrinkage

E-Bayesian Approach in A Shrinkage Estimation of Parameter of Inverse Rayleigh Distribution under General Entropy Loss Function

‎Whenever approximate and initial information about the unknown parameter of a distribution is available, the shrinkage estimation method can be used to estimate it. In this paper, first the $ E $-Bayesian estimation of the parameter of inverse Rayleigh distribution under the general entropy loss function is obtained. Then, the shrinkage estimate of the inverse Rayleigh distribution parameter i...

Long-Term Strategic Asset Allocation: An Out-of-Sample Evaluation

The objective of this paper is to find out whether the expected potential gains from strategic asset allocation can be realized in an out-of-sample test. Firstly, we find that long-term investors should time the market if they use our proposed shrinkage prior. This prior downplays the predictability of asset returns and leads to superior out-of-sample results compared to a standard uniform prio...

Silorane- and high filled-based "low-shrinkage" resin composites: shrinkage, flexural strength and modulus.

This study compared the volumetric shrinkage (VS), flexural strength (FS) and flexural modulus (FM) properties of the low-shrinkage resin composite Aelite LS (Bisco) to those of Filtek LS (3M ESPE) and two regular dimethacrylate-based resin composites, the microfilled Heliomolar (Ivoclar Vivadent) and the microhybrid Aelite Universal (Bisco). The composites (n = 5) were placed on the Teflon ped...

Analyzing Multivariate Repeated Measures Designs: A Comparison of Two Approximate Degrees of Freedom Solutions

Confidence regions for repeated measures ANOVA power curves based on estimated covariance

BACKGROUND Using covariance or mean estimates from previous data introduces randomness into each power value in a power curve. Creating confidence intervals about the power estimates improves study planning by allowing scientists to account for the uncertainty in the power estimates. Driving examples arise in many imaging applications. METHODS We use both analytical and Monte Carlo simulation...