Amanote Research

Amanote Research

    RegisterSign In

Bootstrap Variance Estimators for the Parameters of Small-Sample Sensory-Performance Functions

Biological Cybernetics - Germany
doi 10.1007/bf00338826
Full Text
Open PDF
Abstract

Available in full text

Categories
BiotechnologyComputer Science
Date

November 1, 1987

Authors
D. H. FosterW. F. Bischof
Publisher

Springer Nature


Related search

Bootstrap Variance of Diversity and Differentiation Estimators in a Subdivided Population

Heredity
Genetics
1998English

Kernel-Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency

Econometrica
EconomicsEconometrics
2018English

Estimators and Bootstrap Confidence Intervals for Ruin Probabilities

ASTIN Bulletin
AccountingEconomicsEconometricsFinance
1989English

Evaluating the Performance of Species Richness Estimators: Sensitivity to Sample Grain Size

Journal of Animal Ecology
EvolutionEcologySystematicsAnimal ScienceBehaviorZoology
2006English

The Correlation Between Mean and Variance Estimators

1985English

Class of Bootstrap Estimators for Identification of Linear Discrete-Time Models.

English

Error Analysis for Small-Sample, High-Variance Data: Cautions for Bootstrapping and Bayesian Bootstrapping

Biophysical Journal
Biophysics
2019English

Supplemental Material for Bayesian Methods for the Analysis of Small Sample Multilevel Data With a Complex Variance Structure

Psychological Methods
Philosophy of SciencePsychologyHistory
2012English

Improved Ratio Estimators of Variance Based on Robust Measures

Scientia Iranica
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy