MATLAB Fundamentals for Probability, Statistics, and Data Analytics

Vector, Maxwell

ISBN 13: 9798281941747

Published by Independently published, 2025

About this Item

Print on Demand.

Seller Inventory # I-9798281941747

Bibliographic Details

• Title: MATLAB Fundamentals for Probability, Statistics, and Data Analytics
• Publisher: Independently published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798281941747
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Transform Numbers into Knowledge - One MATLAB Command at a Time

Unlock the full analytical power of MATLAB and elevate your understanding of probability, statistics, and data analytics from classroom theory to professional-grade practice. Crafted for learners who demand mathematical depth and hands-on code proficiency, this definitive reference condenses an entire semester’s worth of lectures into 98 ultra-focused chapters. Whether you’re decoding random variables, stress-testing hypotheses, or engineering Monte Carlo simulations, each topic is delivered with crystal-clear explanations and ready-to-run scripts.

What Makes This Textbook Stand Out?

• End-to-End Roadmap — Progress seamlessly from foundational matrix algebra through advanced statistical inference, ensuring no conceptual gaps.
• Code-Driven Learning — Every formula is paired with MATLAB examples, empowering you to verify theory with live computations.
• High-Impact Topics Covered – Random Number Generation & Simulation – Bayesian Updating & Conditional Probability – Hypothesis Testing, Confidence Intervals, p-Values – Maximum Likelihood & Moment-Based Estimation – Central Limit Theorem & Law of Large Numbers – Regression Analysis, ANOVA, Logistic Models – Principal Component Analysis & Clustering Algorithms
• Reproducible Workflows — Set seeds, vectorize calculations, and benchmark numerical precision without trial-and-error.
• Instant Application — Ideal for data science projects, engineering research, quantitative finance, and academic coursework.

“Finally, a MATLAB-centric statistics text that speaks fluent mathematics and executable code in the same breath.”