2000•TechnometricsRequires access

A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

Michael D. McKay, Richard J. Beckman, W. J. Conover

Abstract

Two types of sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 7570 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Simple random sample, Estimator, Statistics, Monte Carlo method, Sampling (signal processing), Mathematics, Simple (philosophy), Sampling design