Least squares estimation

The Estimation of Blood Platelet Survival

Thrombosis and Haemostasis ◽

10.1055/s-0038-1649028 ◽

1972 ◽

Vol 28 (03) ◽

pp. 447-456 ◽

Cited By ~ 3

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.

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Least Squares Estimation in Uncertain Differential Equations

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2019.2939984 ◽

2020 ◽

Vol 28 (10) ◽

pp. 2651-2655 ◽

Cited By ~ 2

Author(s):

Yuhong Sheng ◽

Kai Yao ◽

Xiaowei Chen

Keyword(s):

Differential Equations ◽

Least Squares ◽

Least Squares Estimation

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Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3263 ◽

2021 ◽

Author(s):

Qilin Liu ◽

Feiyan Chen ◽

Feng Ding ◽

Ahmed Alsaedi ◽

Tasawar Hayat

Keyword(s):

Nonlinear Systems ◽

Least Squares ◽

Least Squares Estimation ◽

Recursive Least Squares ◽

Estimation Methods ◽

Uniform Sampling ◽

Non Uniform Sampling

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Nonlinear Least Squares Estimation for Parameters of Mixed Weibull Distributions by Using Particle Swarm Optimization

IEEE Access ◽

10.1109/access.2019.2915279 ◽

2019 ◽

Vol 7 ◽

pp. 60545-60554 ◽

Cited By ~ 2

Author(s):

Zhong Lu ◽

Li Dong ◽

Jia Zhou

Keyword(s):

Particle Swarm Optimization ◽

Least Squares ◽

Particle Swarm ◽

Nonlinear Least Squares ◽

Least Squares Estimation ◽

Weibull Distributions ◽

Swarm Optimization ◽

Nonlinear Least Squares Estimation

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Partial Least Squares Estimation of Crop Moisture and Density by Near-Infrared Spectroscopy

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3054637 ◽

2021 ◽

Vol 70 ◽

pp. 1-10

Author(s):

Davide Cassanelli ◽

Nicola Lenzini ◽

Luca Ferrari ◽

Luigi Rovati

Keyword(s):

Infrared Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Least Squares Estimation

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Strong consistency of least-squares estimation in linear regression models with vague concepts

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2005.04.009 ◽

2006 ◽

Vol 97 (3) ◽

pp. 633-654 ◽

Cited By ~ 15

Author(s):

Volker Krätschmer

Keyword(s):

Linear Regression ◽

Least Squares ◽

Regression Models ◽

Strong Consistency ◽

Least Squares Estimation ◽

Linear Regression Models

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Rebuttal to “Comments on Covariance Shaping Least-Squares Estimation”

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2004.834263 ◽

2004 ◽

Vol 52 (10) ◽

pp. 2939-2939

Author(s):

Y.C. Eldar ◽

A.V. Oppenheim

Keyword(s):

Least Squares ◽

Least Squares Estimation

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Least Squares Estimation of Avian Molt Rates

Biometrics ◽

10.2307/2531507 ◽

1989 ◽

Vol 45 (2) ◽

pp. 657 ◽

Cited By ~ 1

Author(s):

Douglas H. Johnson

Keyword(s):

Least Squares ◽

Least Squares Estimation

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Equivalence of least-squares estimation of eye aberrations in linearly transformed reference frames

Optics Communications ◽

10.1016/j.optcom.2008.01.020 ◽

2008 ◽

Vol 281 (10) ◽

pp. 2716-2721 ◽

Cited By ~ 4

Author(s):

J. Arines ◽

P. Prado ◽

S. Bará ◽

E. Acosta

Keyword(s):

Least Squares ◽

Reference Frames ◽

Least Squares Estimation

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A sliding-window least-squares estimation method for the biased velocity observation in the inertial-based integrated navigation systems

Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference ◽

10.1109/cgncc.2014.7007424 ◽

2014 ◽

Author(s):

Jie Yang ◽

Wei Tan

Keyword(s):

Least Squares ◽

Estimation Method ◽

Sliding Window ◽

Least Squares Estimation ◽

Navigation Systems ◽

Integrated Navigation

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