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Subjects / keywords: Econometrics; Mathematics; Statistics; Computer science

This is the revision of the classic text in the field, adding two new chapters and thoroughly updating all others. The original structure is retained, and the book continues to serve as a combined text/reference.

Subjects / keywords: Nonparametric statistics; Statistics; Econometrics; Psychology; Mathematics; Computer science

Subjects / keywords: Statistics; Estimation; Computer science; Econometrics; Mathematics; Engineering; Systems engineering

Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given to the technique's pract...

Subjects / keywords: Statistical power; Power analysis; Statistical analysis; Behavioural sciences; Power (physics); Psychology; Computer science; Statistics; Econometrics; Mathematics; Data science; Physics

Subjects / keywords: Power analysis; Statistical power; Statistical analysis; Statistics; Power (physics); Computer science; Mathematics; Psychology; Econometrics; Physics; Quantum mechanics

Subjects / keywords: Statistical power; Power analysis; Statistical analysis; Psychology; Computer science; Power (physics); Econometrics; Data science; Statistics; Mathematics; Physics; Quantum mechanics

Several issues relating to goodness of fit in structural equations are examined. The convergence and differentiation criteria, as applied by Bagozzi, are shown not to stand up under mathematical or statistical analysis. ...

Subjects / keywords: Statistics; Econometrics; Mathematics; Computer science

Summary In recent years the use of species distribution models by ecologists and conservation managers has increased considerably, along with an awareness of the need to provide accuracy assessment for predictions of suc...

Click to increase image sizeClick to decrease image size Notes 1. Although the partitioning of a total effect into direct and indirect components in the manner described here does not require the assumption that the erro...

Building on an idea in Abadie and Gardeazabal (2003), this article investigates the application of synthetic control methods to comparative case studies. We discuss the advantages of these methods and apply them to study...

Subjects / keywords: Class (philosophy); Mathematics; Poverty; Economics; Econometrics; Statistics; Mathematical economics; Computer science; Economic growth; Artificial intelligence

A review of the literature suggests that few studies use formative indicator measurement models, even though they should. Therefore, the purpose of this research is to (a) discuss the distinction between formative and re...

Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Forn...

An index of factorial simplicity, employing the quartimax transformational criteria of Carroll, Wrigley and Neuhaus, and Saunders, is developed. This index is both for each row separately and for a factor pattern matrix ...

Subjects / keywords: Bivariate analysis; Copula (linguistics); Econometrics; Statistics; Probability and statistics; Mathematics; Statistical physics; Computer science; Physics

Introduction Assumptions EM and Inference by Data Augmentation Methods for Normal Data More on the Normal Model Methods for Categorical Data Loglinear Models Methods for Mixed Data Further Topics Appendices References In...

Subjects / keywords: Mathematics; Statistics; Linear model; Econometrics; Computer science

Basic Prerequisite Knowledge. Fitting a Straight Line by Least Squares. Checking the Straight Line Fit. Fitting Straight Lines: Special Topics. Regression in Matrix Terms: Straight Line Case. The General Regression Situa...

Subjects / keywords: Heuristic; Phenomenon; Psychology; Heuristics; Cognitive psychology; Computer science; Econometrics; Statistics; Artificial intelligence; Mathematics; Epistemology; Operating system

The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples. If each element of a vect...

The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the di...