query: What are the weakest assumptions about the errors needed to derive the ordinary least squares estimator?
positive_passages.docid: 16120
positive_passages.text: What is a complete list of the usual assumptions for linear regression?
negative_passages.docid: 7193
negative_passages.text: Textbooks on linear regression with least squares
negative_passages.docid: 36807
negative_passages.text: Derivation of OLS Variance
negative_passages.docid: 104008
negative_passages.text: Can the empirical Hessian of an M-estimator be indefinite?
negative_passages.docid: 104487
negative_passages.text: Finding Bias$(s^2)$ in incorrect linear model
negative_passages.docid: 1290
negative_passages.text: Expectation of squared error
negative_passages.docid: 54795
negative_passages.text: Estimate error on slope of linear regression given data with associated uncertainty
negative_passages.docid: 97384
negative_passages.text: Error Analysis and Modes of Convergences
negative_passages.docid: 23868
negative_passages.text: Normality assumption in linear regression
negative_passages.docid: 98586
negative_passages.text: Mathematical Basis behind inflation of Standard errors of Regression estimates due to multicollinearity
negative_passages.docid: 112318
negative_passages.text: Estimating the integrated Tchebychev function and calculating its error
negative_passages.docid: 54734
negative_passages.text: Standard error of the estimate in logistic regression
negative_passages.docid: 105781
negative_passages.text: Least squares problem with constraint on the unit sphere
negative_passages.docid: 62513
negative_passages.text: Proving that the estimate of a mean is a least squares estimator?
negative_passages.docid: 22236
negative_passages.text: Is least squares the standard method to fit a 3 parameters Gaussian function to some x and y data?
negative_passages.docid: 90215
negative_passages.text: Proof/Derivation of Residual Sum of Squares (Based on Introduction to Statistical Learning)
negative_passages.docid: 73434
negative_passages.text: Assumptions to derive OLS estimator