Implementasi strategi bilangan biner pada permainan NIM dengan basa pemrograman pascal

Metode Jackknife dapat digunakan untuk mereduksi bias suatu estimator. Untuk mengetahui keefektifan dari estimator Jackknife order satu dan estimator Jackknife order dua sebagai pereduksi bias dapat dilihat dari sifat-sifatnya. Ciri-ciri bias estimator terfetak pada suku-suku bias dari estimator yang asli. Kemudian bias dari Jackknife order dua dibandingkan dengan bias estimator yang asli dan juga dibandingkan dengan bias Jackknife order satu. Dari perbandingan ini dapat dilihat untuk keadaan tertentu Jackknife order dua lebih efektif daripada Jackknife order satu maupun terhadap estimator aslinya. Jackknife method can be used to bias reduction. To investigates the effectiveness of the first and second order Jackknife estimators,as tools for bias reduction, we must look from the characterized. The biases of estimators are characterized in terms of the bias original estimator. Then biases of the two estimators are compared, biases second order Jackknife are compared with biases first order Jackknife and biases second order Jackknife compared with bias of the original estimator. From this comparison we can see that second order Jackknife more effectif than first order Jackknife or the original estimator. L. This document is Undip Institutional Repository Collection. The author(s) or copyright owner(s) agree that UNDIP-IR may, without changing the content, translate the submission to any medium or kormat for the purpose of preservation. The author(s) or copyright owner(s) also agree that UNDIP-IR may keep more than one copy of this submission for purpose of security, back-up and preservation: ( http://eprints.undip.ac.id

Optimal Jackknife for Discrete Time and Continuous Time Unit Root Models

Maximum likelihood estimation of the persistence parameter in the discrete time unit root model is known for suffering from a downward bias. The bias is more pronounced in the continuous time unit root model. Recently Chambers and Kyriacou (2010) introduced a new jackknife method to remove the fi…rst order bias in the estimator of the persistence parameter in a discrete time unit root model. This paper proposes an improved jackknife estimator of the persistence parameter that works for both the discrete time unit root model and the continuous time unit root model. The proposed jackknife estimator is optimal in the sense that it minimizes the variance. Simulations highlight the performance of the proposed method in both contexts. They show that our optimal jackknife reduces the variance of the jackknife method of Chambers and Kyriacou by at least 10% in both cases.Bias reduction, Variance reduction, Vasicek model, Long-span Asymptotics, Autoregression

First season QUaD CMB temperature and polarization power spectra

QUaD is a bolometric CMB polarimeter sited at the South Pole, operating at frequencies of 100 and 150 GHz. In this paper we report preliminary results from the first season of operation (austral winter 2005). All six CMB power spectra are presented derived as cross spectra between the 100 and 150 GHz maps using 67 days of observation in a low foreground region of approximately 60 deg^2. These data are a small fraction of the data acquired to date. The measured spectra are consistent with the ΛCDM cosmological model. We perform jackknife tests that indicate that the observed signal has negligible contamination from instrumental systematics. In addition, by using a frequency jackknife we find no evidence for foreground contamination