Comparison between M-estimator and OLS - Mousa, Ismat
29,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 1-2 Wochen
payback
15 °P sammeln
  • Broschiertes Buch

Today the robust methods become one of the important subjects that pay attention statisticians because it's estimators have efficient results that are similar to efficient OLS in case of non existing outliers and become more efficient in case of existing outliers in data. In this research two criteria have been used which are (SAZ1, SAZ2) and will apply on barley data in Iraq between (1960-2014). The results that we get and after that we will discuss them in this research and application has been done to compare between Maximum likelihood estimator and Ordinary Least Squares.

Andere Kunden interessierten sich auch für
Produktbeschreibung
Today the robust methods become one of the important subjects that pay attention statisticians because it's estimators have efficient results that are similar to efficient OLS in case of non existing outliers and become more efficient in case of existing outliers in data. In this research two criteria have been used which are (SAZ1, SAZ2) and will apply on barley data in Iraq between (1960-2014). The results that we get and after that we will discuss them in this research and application has been done to compare between Maximum likelihood estimator and Ordinary Least Squares.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Dr. Ismat  M. Ibrahim. University of Polytechnic in Duhok, Department of Information Technology. This field of science has played a major impact on developing other disciplines. For the last two decades, I have been doing researches and working in my field, and I am fond of doing statistical research.