ESTIMASI PARAMETER REGRESI LINEAR BERGANDA MENGGUNAKAN METODE JACKKNIFE

Purnamasari, Desi, Herni Utama

2015 | Skripsi | FMIPA UGM

Jackknife is one inference statistical estimation methods used to obtain the best possible estimate based on minimal data. One of the advantages of the Jackknife method is not require any assumptions about the distribution of the sample owned. Jackknife method can be used on the data pairs in the case of linear regression models. In this paper, Jackknife method is applied to estimate the parameters of linear regression. Linear regression analysis is analytical technique to determine the relathionship between two or more variables and estimation using mathematical model called the regression model, by searching the best model to describe the causality problem/ causal relationship is the least square method.

Kata Kunci : Jackknife Method; Linear Regression; Ordinary Least Square(OLS)