Output Analysis and Run - Length Control

نویسنده

  • Martin Haugh
چکیده

In these notes we describe how to measure the confidence we have in our Monte-Carlo estimates. In particular, we use he Central Limit Theorem to construct confidence intervals for the quantity we are truing to estimate. We also describe methods to estimate the number of samples that are required to achieve a given confidence level.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On the Performance of a Multivariate Control Chart in Multistage Environment

In this paper, a Multivariate-Multistage Quality Control (MVMSQC) procedure is investigated. In this procedure discriminate analysis, linear regression and control chart theory are combined to control the means of correlated characteristics of a process, which involves several serial stages. Furthermore, the quality of the output at each stage depends on the output of the previous stage as well...

متن کامل

A New Optimization Model for Designing Acceptance Sampling Plan Based on Run Length of Conforming Items

The purpose of this article is to present an optimization model for designing an acceptance sampling plan based on cumulative sum of run length of conforming items. The objective is to minimize the total loss including both the producer and consumer losses. The concept of minimum angle method is applied to consider producer and consumer risks in the optimization model. Also the average number o...

متن کامل

Providing comprehensive control chart for monitoring of linear and nonlinear profiles using functional data analysis.

Considering profiles as functional variables, two control charts are proposed for their monitoring in phase II. Due to its conformity with the nature of real-world profiles, applying functional model leads to proposed control charts obtained through functional data analysis techniques with desired features. These include simplicity in calculation and possibility of using them for different prof...

متن کامل

Adaptive Spectral Methods for Simulation Output Analysis

This paper addresses two central problems in simulation methodology: the generation of conjidence intervals for the steady state means of the output sequences and the sequential use of these conjidence intervals to control the run length. The variance of the sample mean of a covariance stationary process is given approximately by p(O)lN, where p( f ) is the spectral density at frequency f and N...

متن کامل

Survey of Money- Output Causality: Case Study of Iran, Based on Vector Error Correction Model (VECM)

This study investigated the dynamic relationship between money, prices and output in a multivariate structure of casualty analysis in Iran for the two period of 1969 to 2012 (entire period) and 1989 to 2012 (sub-period). This statistical framework has been projected for situations where causal links may have changed over the sample period. Results of a three-variable Vector Error Correction Mod...

متن کامل

RUN LENGTH CONTROL FOR SIMULTANEOUS ESTIMATION OF SEVERAL PERCENTILES IN DEPENDENT SEQUENCESy

Percentiles are convenient indices to describe simulation output data. A few percentiles are more informative than the mean and the standard deviation. However, percentiles are very seldom used in practice. The reason has been that percentile estimation is regarded as a cumbersome task. All previously reported methods estimate only a single percentile. In addition, they have been methods of xed...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010