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Related lectures (32)

Explores constructing a probability model, random sampling, variance calculation, and allocation optimization in experiments.

Canonical Analysis: Classic Plans and Simplex Method

Explores canonical analysis, classic plans, and the simplex method in experimental designs.

Dimensional Analysis & Modelling

Explores dimensional analysis, pi-theorem, modeling, and gravitational effects in open channel flow.

Causal Inference in Epidemiology: Pregnancy and Prostate Cancer

Explores causal inference in epidemiology, focusing on COVID-19's impact on preterm birth and refining treatment strategies for prostate cancer.

DOE Qualitative factors I

Covers the importance of exercises, numerical tools, and iterative problem-solving in DOE.

Full Factorial Design Introduction

Covers the basics of full factorial design, coding, graphical outputs, and data analysis.

Probability and Statistics

Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.

Introduction to Fractional Factorial Designs

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

Probability Theory: Events and Tribes

Covers the concept of events and tribes in probability theory, emphasizing the importance of defining valid tribes and their role in modeling random experiments.

Probability Theory: Fundamentals and Calculations

Covers the basics of probability theory, including events, intersections, unions, and probabilities.

Fractional Factorial Example and Higher Order Equations

Covers the design of a catapult experiment and higher order equations.

Design of Experiments: Efficiency and Interactions

Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.

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