State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...

Bu çalışmada, sayım verilerini modellemek için kullanılan Poisson regresyonmodeline alternatif olarak tanımlanan Bell regresyon modelinde çoklu iç ilişkiolması durumunda yanlı tahmin edicilere bir ediciönerilmiştir. modeli aşırı yayılım probleminin çözümü kullanılanbir modeldir. modelinin parametreleri genellikle en çok olabilirlik(EÇO) edicisi kullanılarak edilmektedir. Fakat, ilişkiproblemi o...

This paper develops a robust testing procedure for the nonparametric kernel method in the presence of temporal dependence of unknown forms. We …rst propose a new variance estimator that corrects the …nite sample bias caused by temporal dependence. The new variance estimator is novel in the sense that it is not only robust to temporal dependence in …nite samples but also consistent in large samp...

In this paper we derive some unbiased estimators of the population mean under simple inverse sampling with replacement, using the class of Hansen-Hurwitz and Horvitz-Thompson type estimators and the post-stratification approach. We also compare the efficiency of resulting estimators together with Murthy's estimator. We show that in despite of general belief, the strategy consisting of inverse s...