Barnes and Noble The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models at Mall of America® in Bloomington, MN

GARCH Models: Structure, Statistical Inference and Financial Applications

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Barnes & Noble

GARCH Models: Structure, Statistical Inference and Financial Applications

Discrete Stochastic Models and Applications for Reliability Engineering Statistical Quality Control

Approximate Models of Mechanics Composites: An Asymptotic Approach

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Designing Large Language Model Applications: A Holistic Approach to LLMs

Macroeconomics: Principles and Practices: A Model-Building and Applications-Oriented Approach

An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition

An Integrated Modelling Approach to Design Cost-Effective AES for Agricultural Soil Erosion and Water Pollution: Application of a Real Watershed China

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The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models

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