Outlier Detection in a Preliminary Test Estimator of the Mean

نویسندگان

  • G. Yüksel
  • M. Candan Çetin
چکیده

Pre-test estimator has been studied to estimate the mean of a normal distribution when non-sample prior information is avaliable. Our aim is to consider pre-test estimator of the mean in thepresence of outliers. A well known procedure to define pre-test estimator of the mean is using thesample mean. However, the sample mean is not a robust location parameter. In order to overcomethis problem, we replace it with a robust estimator. Cook’s squared distance is used to study theinfluential observations in a Monte Carlo study. ReferencesCook, R.D. (1977) Detection of influential observations in linear regression. Technometrics, 19,15-18.C.P. Han. (2002) Influential observations in a preliminary test estimator of the mean. Pak. J.Statist. S. Ejaz Ahmed Special Issue, Vol.18(2), 321-333.G.G. Judge, M.E. Bock (1978) The Statistical Implications of pre-test and Stein-rule estimatorsin econometrics. North Holland Company.

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

Outlier Detection for Support Vector Machine using Minimum Covariance Determinant Estimator

The purpose of this paper is to identify the effective points on the performance of one of the important algorithm of data mining namely support vector machine. The final classification decision has been made based on the small portion of data called support vectors. So, existence of the atypical observations in the aforementioned points, will result in deviation from the correct decision. Thus...

متن کامل

Pitman-Closeness of Preliminary Test and Some Classical Estimators Based on Records from Two-Parameter Exponential Distribution

In this paper, we study the performance of estimators of parametersof two-parameter exponential distribution based on upper records. The generalized likelihood ratio (GLR) test was used to generate preliminary test estimator (PTE) for both parameters. We have compared the proposed estimator with maximum likelihood (ML) and unbiased estimators (UE) under mean-squared error (MSE) and Pitman me...

متن کامل

Simultaneous robust estimation of multi-response surfaces in the presence of outliers

A robust approach should be considered when estimating regression coefficients in multi-response problems. Many models are derived from the least squares method. Because the presence of outlier data is unavoidable in most real cases and because the least squares method is sensitive to these types of points, robust regression approaches appear to be a more reliable and suitable method for addres...

متن کامل

Detection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions

The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. In addition, we derive the corrected score test statistic for outliers detection ba...

متن کامل

A statistical test for outlier identification in data envelopment analysis

In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the prese...

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 2009