Identification Of Outliers In Time Series Data
In regression analysis, data sets usually contain unusual observations that produces undesirable effects on least squares estimates, this unusual observations are refer to as outliers. Detecting these unusual observations prior data analysis is an important aspect of model building. However, many...
Saved in:
主要作者: | Adewale Asiata Omotoyosi |
---|---|
格式: | Thesis |
語言: | en_US |
主題: | |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Weighted Maximum Median Likelihood Estimation For Parameters In Multiple Linear Regression Model
由: Mohamed Ramli, Norazan
出版: (2008) -
Outlier Detections and Robust Estimation Methods for Nonlinear Regression Model Having Autocorrelated and Heteroscedastic Errors
由: Riazoshams, Hossein
出版: (2010) -
Some problems of outliers in circular data /
由: Abuzaid, Ali H.M
出版: (2010) -
Robust outlier detection and estimation in response surface methodology
由: Mustafa, Mohd Shafie
出版: (2015) -
Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
由: Uraibi, Hassan S.
出版: (2016)