JSTOR Daily

Estimation of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice

Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and nonnegative outcomes. I argue here that much of the difficulty ...
Scientific Research Publishing

Testing for Spatial Correlations with Randomly Missing Observations in the Dependent Variable ()

We consider LM tests for spatial correlations in the spatial error model (SEM) and spatial autoregressive model (SAM) with randomly missing data in the dependent ...
Frontiers

Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network

Mathematics and statistical skills are crucial to daily life. However, many students found mathematics difficult to learn and understand. This research aimed to find relationships between mathematics ...
National Bureau of Economic Research

Estimation of Limited-Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice

Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and non-negative outcomes. I argue here that much of the difficulty ...
JSTOR Daily

A Maximum Likelihood Method for Piecewise Regression Models with a Continuous Dependent Variable

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 30, No. 2 (1981), pp. 116-124 (9 pages) This paper develops a maximum likelihood method for estimating a piecewise ...
IEEE

Fault Estimation and Fault-Tolerant Control for a Class of Continuous-Time PWA Systems: A Region-Dependent Intermediate Variable Observer Approach

Abstract: In this paper, the design issues of both the fault estimation (FE) and fault-tolerant control (FTC) are investigated for a class of piecewise-affine (PWA) systems against actuator fault.