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Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables.

• Authors : McKitrick, Ross¹ (AUTHOR)

Subjects: *Climatology; *Climate change; Least squares

• Source: Environmetrics. Mar2024, Vol. 35 Issue 2, p1-12. 12p.

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Can you trust the parametric standard errors in nonlinear least squares? Yes, with provisos.

• Authors : Tellinghuisen J; Department of Chemistry, Vanderbilt University Nashville, TN 37235, USA. Electronic address: .

Subjects: Algorithms* ; Computer Simulation* ; Least-Squares Analysis*

• Source: Biochimica et biophysica acta. General subjects [Biochim Biophys Acta Gen Subj] 2018 Apr; Vol. 1862 (4), pp. 886-894. Date of Electronic Publication: 2017 Dec 29.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101731726 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0304-4165

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Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares.

• Authors : Li CH; Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, Houston, TX, USA. .

Subjects: Data Interpretation, Statistical* ; Factor Analysis, Statistical* ; Least-Squares Analysis*

• Source: Behavior research methods [Behav Res Methods] 2016 Sep; Vol. 48 (3), pp. 936-49.Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Print Cited Medium: Internet ISSN: 1554-3528

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Education Full Text (H.W. Wilson)

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Pareto parameter estimation by merging locally weighted median of multiple neural networks and weighted least squares.

• Authors : Aydi, Walid; Alatiyyah, Mohammed

Subjects: PARAMETER estimation; LEAST squares; MONTE Carlo method

• Source: Alexandria Engineering Journal; Jan2024, Vol. 87, p524-532, 9p

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Robust segmented regression: application to oxygen uptake plateau identification.

• Authors : Sarnaglia, Alessandro J. Q.¹ (AUTHOR) ; Fajardo Molinares, Fabio A.¹ (AUTHOR); Azevedo, Paulo H. S. M.² (AUTHOR)

Subjects: *Oxygen; Standard deviations; Least squares

• Source: Environmental & Ecological Statistics. Dec2023, Vol. 30 Issue 4, p625-648. 24p.

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An alternative corrected ordinary least squares estimator for the stochastic frontier model.

• Authors : Parmeter, Christopher F.¹ (AUTHOR); Zhao, Shirong² (AUTHOR)

Subjects: *STOCHASTIC models; *MONTE Carlo method; LEAST squares

• Source: Empirical Economics. Jun2023, Vol. 64 Issue 6, p2831-2857. 27p. 15 Charts.

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Multilevel Modeling and Ordinary Least Squares Regression: How Comparable Are They?

• Authors : Huang, Francis L. (AUTHOR)

Subjects: REGRESSION analysis; LEAST squares; ACCURACY

• Source: Journal of Experimental Education. 2018, Vol. 86 Issue 2, p265-281. 17p. 4 Charts, 2 Graphs.

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