Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The ...

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with ...

This book discusses an important area of numerical optimization, called interior-point method. This topic has been popular since the 1980s when people ...

Iterative processes are the tools used to generate sequences approximating solutions of equations describing real life problems. Intended for researchers ...

This book provides an introduction to basic topics in Real Analysis and makes the subject easily understandable to all learners. The book is useful for ...

Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that ...

This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work ...

Variational Techniques for Elliptic Partial Differential Equations , intended for graduate students studying applied math, analysis, and/or numerical ...

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two decades. Grid-based ...

This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas ...