by
Hair, Joseph F.
Format:
Books
Publication Date
2017
Excerpt:
A primer on partial least squares structural equation modeling (PLS-SEM) / Hair, Joseph F.
by
Wooldridge, Jeffrey M., 1960- author.
Format:
Books
Publication Date
2020
Excerpt:
methods ; Advanced panel data methods ; Instrumental variables estimation and two-stage least squares
by
Mavesere , Derek, author
Format:
Books
Publication Date
2017
Excerpt:
ordinary least squares (OLS) regression method to determinethe factors affecting variation in water used by
by
Wooldridge, Jeffrey M., 1960- author.
Format:
Books
Publication Date
2016
Excerpt:
and two stage least squares ; Simultaneous equations models ; Limited dependent variable models and
by
Woodwell, Douglas.
Format:
Books
Publication Date
2014
Excerpt:
-- Ordinary Least Squares -- Heteroscedasticity and Other Big Words -- Regression With "Limited Dependent
by
Webster, Allen.
Format:
Books
Publication Date
2013
Excerpt:
Model and Weighted Least Squares -- The Linear Probability Model -- Weighted Least Squares -- 6.3
by
Edwards, Michael C. (Michael Charles), 1977-
Format:
Books
Publication Date
2013
Excerpt:
Models / Irini Moustaki -- ch. 6 Standard Errors for Ordinary Least Squares Estimates of Parameters in
by
Abramovich, Felix.
Format:
Books
Publication Date
2013
Excerpt:
moments -- 2.4.Method of least squares -- 2.5.Goodness-of-estimation. Mean squared error -- 2.6.Unbiased
by
Westfall, Peter H., 1957-
Format:
Books
Publication Date
2013
Excerpt:
-Derivatives and Least Squares -- 2.6.More Calculus-Integrals and Cumulative Distribution Functions -- Vocabulary
by
Aichinger, Michael, 1979-
Format:
Books
Publication Date
2013
Excerpt:
algorithm -- 11.2.A Modified Least Squares Monte Carlo Algorithm for Bermudan Callable Interest Rate
by
Wilcox, Rand R.
Format:
Books
Publication Date
2012
Excerpt:
Estimator -- 15.1.2.R Functions tsreg and regplot -- 15.1.3.Least Median of Squares -- 15.1.4.Least Trimmed
by
Ekstrøm, Claus Thorn, 1971-
Format:
Books
Publication Date
2012
Excerpt:
partial least squares regression for prediction -- Resampling statistics and bootstrapping -- 3.35.Non
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