Abstract: In this paper, a random forest regression model with multitype predictor variables (MTVRF) was utilized with four kinds of input variables, including surface reflectance, spectral indices, ...

Abstract: Sums of exponentially distributed random variables (RVs) play important roles in performance analysis of various communication systems. Their logarithmic expectations can not only facilitate ...

Addresses the topics of probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, etc.), moment generating functions ...

This project is meant to quickly generate a random c2 profile. It is basically a Jinja template with random variables. The idea is to focus on randomization vs a ...

The distribution of an arbitrary linear combination of Student-t random variables with odd degrees of freedom is derived. An easy method of expressing this distribution as a mixture of t-distributions ...

IIT JAM Mathematical Statistics Syllabus 2026: The IIT JAM Mathematical Statistics (MS) syllabus is a crucial resource for any student aiming to appear for the IIT JAM 2026 examination. The syllabus ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Vikki Velasquez is a researcher and writer who has managed, coordinated, and ...

ℹ️ Project Renaming Notice: This project was previously known as mcp_omni-connect. It has been renamed to omnicoreagent to reflect its evolution into a complete AI development platform—combining both ...

Primary emphasis on conceptual understanding of and solving problems involving whole numbers, integers, mathematical operations, decimals, decimal operations, fractions, percentages, angles and ...