A Jackknife Empirical Likelihood Approach to Goodness-of-fit Degenerate U-statistics Testing

نویسنده

  • Hanxiang Peng
چکیده

Motivated by applications to goodness of fit degenerate U-statistics testing, the Jackknife empirical likelihood approach for U-statistics is generalized to degenerate U-statistics. The proposed empirical likelihood based goodness of fit tests are asymptotically distribution free. The asymptotic theory for testing shift of location, spatial depth testing for central symmetry, Cramér-von Mises type statistic of Mdistribution Testing for a Specific Distribution, Cramér-von Mises statistic testing for a specific distribution, Simplicial depth testing for angular symmetry are presented.

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

A Jackknife Empirical Likelihood Approach to Goodness of Fit U-statistics Testing with Side Information

Motivated by applications to goodness of fit U-statistics testing, the empirical likelihood approach is generalized to allow for the number of constraints to grow with the sample size and for the constraints to use estimated criteria functions. The latter is needed to handle naturally occurring nuisance parameters. The proposed empirical likelihood based goodness of fit tests are asymptotically...

متن کامل

A JACKKNIFE EMPIRICAL LIKELIHOOD APPROACH TO GOODNESS OF FIT U-STATISTICS TESTING WITH SIDE INFORMATION A Thesis

Lin, Qun. Ph.D., Purdue University, December, 2013. A Jackknife Empirical Likelihood Approach To Goodness of Fit U-Statistics Testing With Side Information. Major Professor: Dr. Hanxiang Peng. Motivated by applications to goodness of fit U-statistics testing, the jackknife empirical likelihood of Jing, et al. (2009) is justified with an alternative approach, and the Wilks theorem for vector U-s...

متن کامل

A Jackknife Empirical Likelihood Approach To Goodness Of Fit U-Statistic Testing With Side Information

Lin, Qun Ph.D., Purdue University, December 2013. A Jackknife Empirical Likelihood Approach To Goodness of Fit U-Statistic Testing With Side Information. Major Professor: Hanxiang Peng. Motivated by applications to goodness of fit U-statistic testing, the jackknife empirical likelihood (JEL) of Jing, et al. (2009) is justified with an alternative approach, and the Wilks theorem for vector U-sta...

متن کامل

Jackknife Empirical Likelihood Goodness-of-fit Tests for Vector U-statistics

Motivated by applications to goodness of fit U-statistic testing, the jackknife empirical likelihood (Jing, et al. [14]) is justified with an alternative approach and the Wilks theorems for vector U-statistics are proved. This generalizes Owen’s empirical likelihood for vectors to vector U statistics and includes the JEL for U-statistics with side information as a special case. The results are ...

متن کامل

Jackknife Empirical Likelihood Goodness-Of-Fit Tests For U-Statistics Based General Estimating Equations

Motivated by applications to goodness of fit U-statistic testing, the jackknife empirical likelihood (JEL) for vector U-statistics is justified with two approaches and the Wilks theorems are proved. This extends empirical likelihood (EL) for general estimating equations (GEE’s) to U-statistics based GEE’s. The results are extended to allow for the use of estimated constraints and for the number...

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 2013