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Stochastic Hydrology. Instructor: Prof. P. P. Mujumdar, Department of Civil Engineering, IISc Bangalore.
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English
English [CC]
FREE
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Description
The objective of this course is to introduce the concepts of probability theory and stochastic processes with applications in hydrologic analysis and design. Modeling of hydrologic time series with specific techniques for data generation and hydrologic forecasting will be dealt with. Case study applications will be discussed. (from nptel.ac.in)
Course content
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- Lecture 01 – Introduction Unlimited
- Lecture 02 – Bivariate Distributions Unlimited
- Lecture 03 – Independence; Functions of Random Variables Unlimited
- Lecture 04 – Moments of a Distribution Unlimited
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- Lecture 05 – Normal Distribution Unlimited
- Lecture 06 – Other Continuous Distributions Unlimited
- Lecture 07 – Parameter Estimation Unlimited
- Lecture 08 – Covariance and Correlation Unlimited
- Lecture 09 – Data Generation Unlimited
- Lecture 22 – Markov Chains Unlimited
- Lecture 23 – Markov Chains (cont.) Unlimited
- Lecture 30 – Multiple Linear Regression Unlimited
- Lecture 31 – Principal Component Analysis Unlimited
- Lecture 32 – Regression on Principal Components Unlimited
- Lecture 33 – Multivariate Stochastic Models, Part 1 Unlimited
- Lecture 34 – Multivariate Stochastic Models, Part 2 Unlimited
- Lecture 35 – Multivariate Stochastic Models, Part 3 Unlimited
- Lecture 39 – Recent Applications: Climate Change Impact Assessment Unlimited
- Lecture 40 – Summary Unlimited
Instructor
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