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Biased estimation and hypothesis testing in linear regression

https://doi.org/10.1007/bf00046995
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0378-4754(91)90041-zopenalex-snapshot
Regression estimators — a comparative study
inferredcites →https://doi.org/10.1080/00401706.1970.10488634openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.1080/00401706.1970.10488635openalex-snapshot
Ridge Regression: Applications to Nonorthogonal Problems
inferredcites →https://doi.org/10.1080/00401706.1973.10489076openalex-snapshot
On Biased Estimation in Linear Models
inferredcites →https://doi.org/10.1080/02331888708802010openalex-snapshot
Quasi minimax estimation in the linear regression model
inferredcites →https://doi.org/10.2307/1271436openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.2307/2286558openalex-snapshot
Theory and Application of the Linear Model.
inferredcites →https://doi.org/10.2307/2290622openalex-snapshot
Regression Estimators: A Comparative Study.
inferredcites →https://doi.org/10.2307/2344939openalex-snapshot
Theory and Application of the Linear Model.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2106192openalex-extracted
Hypothesis Testing When a Linear Regression is Estimated by Biased Estimators
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_1openalex-snapshot
The First Problem of Algebraic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_10openalex-snapshot
The Fifth Problem of Probabilistic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_12openalex-snapshot
The Nonlinear Problem of the 3d Datum Transformation and the Procrustes Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_13openalex-snapshot
The Sixth Problem of Generalized Algebraic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_14openalex-snapshot
Special Problems of Algebraic Regression and Stochastic Estimation
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_15openalex-snapshot
Algebraic Solutions of Systems of Equations
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_2openalex-snapshot
The First Problem of Probabilistic Regression: The Bias Problem
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_3openalex-snapshot
The Second Problem of Algebraic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_4openalex-snapshot
The Second Problem of Probabilistic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_5openalex-snapshot
The Third Problem of Algebraic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_6openalex-snapshot
The Third Problem of Probabilistic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_8openalex-snapshot
The Fourth Problem of Probabilistic Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-22241-2_9openalex-snapshot
The Fifth Problem of Algebraic Regression: The System of Conditional Equations: Homogeneous and Inhomogeneous Equations: $$\{\mathbf{By} = \mathbf{Bi}\ \mathbf{versus} -\mathbf{c} + \mathbf{By} = \mathbf{Bi}\}$$
inferred← citeshttps://doi.org/10.1007/bf00046996openalex-snapshot
Hypothesis testing using affine linear estimators
inferred← citeshttps://doi.org/10.1080/02664763.2018.1526891openalex-snapshot
Multicolinearity and ridge regression: results on type I errors, power and heteroscedasticity
inferred← citeshttps://doi.org/10.1080/10705511.2021.1927736openalex-snapshot
Can Ridge and Elastic Net Structural Equation Modeling be Used to Stabilize Parameter Estimates when Latent Factors are Correlated?
inferred← citeshttps://doi.org/10.1097/aud.0000000000001503openalex-snapshot
Hypothesis Tests for Continuous Audiometric Threshold Data
inferred← citeshttps://doi.org/10.48550/arxiv.2104.14423openalex-snapshot
The Raise Regression: Justification, properties and application
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