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.
• 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.”
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Paperback. Condición: new. Paperback. Transform Numbers into Knowledge - One MATLAB Command at a TimeUnlock 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." Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798281941747
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