SUMMARY
The discussion focuses on finding the marginal probability density function (pdf) fx(x) from a given joint pdf f(x,y) = (2/(x²(x-1)))(y-(2x-1)/(x-1)) for x > 1 and y > 1. The correct approach involves integrating fx(x) = ∫f(x,y)dy from 1 to ∞. A key insight is that while attempting the integration, the variables must be treated appropriately, and the constants a and b should be identified to simplify the process. The integral is not undefined; rather, it requires proper handling of the constants involved.
PREREQUISITES
- Understanding of joint probability density functions
- Knowledge of integration techniques in calculus
- Familiarity with marginal probability calculations
- Ability to manipulate algebraic expressions involving constants
NEXT STEPS
- Study the properties of joint and marginal probability distributions
- Learn advanced integration techniques for handling improper integrals
- Explore the concept of constants in probability density functions
- Review examples of marginal pdf calculations in statistical texts
USEFUL FOR
Students in statistics, mathematicians, and data scientists who are working with probability distributions and require a deeper understanding of marginal pdf calculations.