This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...

Any confusion concerning who has the top individual TV shows -- linear, streaming, or otherwise -- should be clear when Nielsen -- or others -- release show-by-show traditional average viewer ...

Accurately estimate price elasticity while accounting for selection bias. Understand customer spending behavior by age, gender, and loyalty enrollment status. Optimize pricing strategies based on ...

Abstract: Linear programming representations for discrete-event simulation provide an alternative approach for analyzing discrete-event simulations. This paper presents several formulations for G/G/m ...

1 School of Urban Construction, Yangtze University, Jingzhou, China. 2 Aeronautics Department, Nanchang Hangkong University, Nanchang, Jiangxi. This research investigates the problem of performing ...

This work presents the mathematical/theoretical framework of the “nth-Order Feature Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint ...

Massive levels of linear TV programming on CTV platforms (connected TV) have resulted in linear making up around 85% of total CTV ad inventory for long-form content, according to Bernstein Research.