2015  Buch
Dynamic Systems in Management Science
Design, Estimation and Control
Über dieses Buch
Dynamic Systems in Management Science explores the important gaps in the existing literature on operations research and management science by providing new and operational methods which are tested in practical environment and a variety of new applications.
Inhaltsverzeichnis
Vectors and Matrices Eigenvalues and Eigenvectors Singular Value Decomposition, the Generalized Inverse A Multipurpose Computer Program
Specification and Estimation The Ordinary Least Squares Method Basic Assumptions — Tests Required Marginal Effects, Elasticities, Predictions, Confidence Intervals Recursive Residuals and Relevant Statistics Use of Dummy Variables
Remedies When Basic Assumptions are Violated Feasible Generalized Least Squares (FGLS) Estimators Extensions of Usual System Models Fixed Effects and Random Effects Models Models with Binary Dependent Variable Tests Required. Interpretation of the Results
Time SeriesStationarity Vector Autoregressive (VAR) Models CoIntegration Analysis and Relevant Tests Singular Value Decomposition to Compute CoIntegration Vectors The Error Correction Models and Dynamic Simulation Models with Categorical Dependent Variable Count Models Survival Analysis Seemingly Unrelated Regression (SUR) Models
Simultaneous Equation Models Model Identification Estimation Methods Dynamic Systems Optimal Control Systems with Random Parameters Analytical Applications
 Titel
 Dynamic Systems in Management Science
 Verlag

Palgrave Macmillan UK
 Print ISBN
 9781349701704
 Electronic ISBN
 9781137508928
 CopyrightJahr
 2015
 DOI

https://doi.org/10.1057/9781137508928
 Autor:

Alexis Lazaridis