Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 3

type i error Related Abstracts

3 Unit Root Tests Based On the Robust Estimator

Authors: Wararit Panichkitkosolkul

Abstract:

The unit root tests based on the robust estimator for the first-order autoregressive process are proposed and compared with the unit root tests based on the ordinary least squares (OLS) estimator. The percentiles of the null distributions of the unit root test are also reported. The empirical probabilities of Type I error and powers of the unit root tests are estimated via Monte Carlo simulation. Simulation results show that all unit root tests can control the probability of Type I error for all situations. The empirical power of the unit root tests based on the robust estimator are higher than the unit root tests based on the OLS estimator.

Keywords: Monte Carlo Simulation, autoregressive, ordinary least squares, type i error, power of the test

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2 Robust ANOVA: An Illustrative Study in Horticultural Crop Research

Authors: Dinesh Inamadar, R. Venugopalan, K. Padmini

Abstract:

An attempt has been made in the present communication to elucidate the efficacy of robust ANOVA methods to analyze horticultural field experimental data in the presence of outliers. Results obtained fortify the use of robust ANOVA methods as there was substantiate reduction in error mean square, and hence the probability of committing Type I error, as compared to the regular approach.

Keywords: Horticulture, type i error, outliers, robust ANOVA, cook distance

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1 Economic Design of a Quality Control Chart for the Proportion of Defective Items

Authors: Francisco J. Blanco-Encomienda, Juan F. Muñoz-Rosas, Encarnación Álvarez-Verdejo, Pablo J. Moya-Fernández, Raúl Amor-Pulido

Abstract:

Many companies use the statistical tool named as statistical quality control, and which can have a high cost for the companies interested on these statistical tools. The evaluation of the quality of products and services is an important topic, but the reduction of the cost of the implantation of the statistical quality control also has important benefits for the companies. For this reason, it is important to implement a economic design for the various steps included into the statistical quality control. In this paper, we describe some relevant aspects related to the economic design of a quality control chart for the proportion of defective items. They are very important because the suggested issues can reduce the cost of implementing a quality control chart for the proportion of defective items. Note that the main purpose of this chart is to evaluate and control the proportion of defective items of a production process.

Keywords: type i error, distribution function, proportion, economic plan

Procedia PDF Downloads 225