Used in Statistical Models
Parameters of a probability distribution, such as the mean and standard deviation of a normal distribution
Regression coefficients of a regression model, such as Y=a'X
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Parameter estimation is the process of computing a model’s parameter values from measured data. You can apply parameter estimation to different types of mathematical models, including statistical models, parametric dynamic models, and data-based Simulink® models
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Similar ideas to Used in Statistical Models
Common Probability Distributions
The common probability distributions are:
- Uniform Distribution: It is a simple off or on distribution, where anything outside the given range is 0.
- Normal (or Gaussian) Distribution: This distribution has the same standard deviation in all d...
Polynomial regression
- Polynomials are algebraic expressions consisting of variables and coefficients.
- Polynomial regressions are the most used in machine learning.
Polynomial regression is a unique case of linear regression:
- You fit a polynomial equ...
Key Concepts in Statistics
We often feel anecdotes from people we know more persuasive than scientific evidence. This is because we don’t understand statistics well.
3 key concepts we must always remember:
- Law of Large Number (more data in a sample, more accurate conclusion)
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