Learn to simulate stock prices with Excel and gain predictive power over market trends. Our step-by-step guide enhances your ...

Beijing National Laboratory for Molecular Sciences, Center for Soft Matter Science and Engineering, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, College of Chemistry and ...

Objectives: This study proposes to construct a model to replace the on-road test and provide a bundled assessment on the driving function of stroke patients. Methods: Clinical data were collected from ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The application presented here utilizes the R Shiny platform to ...

A simulation of an ACPC Grading System Server where multiple computers process incoming tasks. The system handles exponential interarrival and service times with a FIFO queue mechanism and calculates ...

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

Abstract: While probability distribution functions are crucial for simulating random processes, research on these functions and their features is required. However, studies have demonstrated that in ...

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...