Least squares estimation of the coefficients of a partially explosive model, with polynomial regressions of same degree, generating a pair of related time series

1990 ◽  
Vol 31 (1) ◽  
pp. 15-31
Author(s):  
K. Suresh Chandra ◽  
P. Dhanavanthan
Keyword(s):  
Time Series ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Partially Explosive Model ◽  
Related Time Series ◽  
Polynomial Regressions

The validity of least squares estimation in a time series model using the bootstrap methodology

1988 ◽  
Vol 7 (4) ◽  
pp. 261-267 ◽  
Author(s):  
Mun Son ◽  
Hosny Hamdy ◽  
Mohammad Almahmeed ◽  
Bruce Sindahl
Keyword(s):  
Time Series ◽  
Least Squares ◽  
Time Series Model ◽  
Least Squares Estimation ◽  
Bootstrap Methodology

Update two-dimensional SAR offset tracking deformation time series with complex sequential least squares estimation

2021 ◽  
Vol 12 (3) ◽  
pp. 247-256
Author(s):  
Bao-Hang Wang ◽  
Chao-Ying Zhao ◽  
Qin Zhang ◽  
Li-Quan Chen ◽  
Heng-Yi Chen
Keyword(s):  
Time Series ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Two Dimensional ◽  
Offset Tracking

The Estimation of Blood Platelet Survival

1972 ◽  
Vol 28 (03) ◽  
pp. 447-456 ◽  
Author(s):  
E. A Murphy ◽  
M. E Francis ◽  
J. F Mustard
Keyword(s):  
Standard Deviation ◽  
Least Squares ◽  
Experimental Error ◽  
Blood Platelet ◽  
Least Squares Estimation ◽  
Systematic Relationship ◽  
Platelet Survival ◽  
The Mean ◽  
Normally Distributed

SummaryThe characteristics of experimental error in measurement of platelet radioactivity have been explored by blind replicate determinations on specimens taken on several days on each of three Walker hounds.Analysis suggests that it is not unreasonable to suppose that error for each sample is normally distributed ; and while there is evidence that the variance is heterogeneous, no systematic relationship has been discovered between the mean and the standard deviation of the determinations on individual samples. Thus, since it would be impracticable for investigators to do replicate determinations as a routine, no improvement over simple unweighted least squares estimation on untransformed data suggests itself.

Least Squares Estimation in Uncertain Differential Equations

2020 ◽  
Vol 28 (10) ◽  
pp. 2651-2655 ◽  
Author(s):  
Yuhong Sheng ◽  
Kai Yao ◽  
Xiaowei Chen
Keyword(s):  
Differential Equations ◽  
Least Squares ◽  
Least Squares Estimation
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