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7
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Constrained Least Square
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Ones Vector
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Chapter3
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markov
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Long-run Proportion of Markov Chain
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State Communication
State in Markov Chain
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Chapter 1
Population
Population mean
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Chapter 2
Bayes theorem
Conditional probability
Intersect operation
Union operation
Chapter 3
Standard deviation
Chapter 4
Sample
Chapter 6
Sum of independent variables
Chapter 7
Distribution of a function of a random variable
Exponential Distribution
Gamma distribution
Hazard rate function
The DeMoivre-Laplace limit theorem
Uniform distribution
Chapter 8
Chi-squared distribution
Conditional joint distribution
Independent random variable
Joint cumulative distribution function
Joint distribution of functions of variables
Joint probability density function
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Jointly distributed random variable
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Chapter 9
Conditional variance
Correlation
Linear regression
Moment generating function
Chapter 10
Central limit theorem
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Distribution of sample mean
Indicator Variable
Law of large number
Limit theorems
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Strong law of large numbers
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Confidence interval
Prediction
t distribution
Chapter 12
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Difference random variable of 2 variables
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Properties of expectation
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distribution
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Conditional joint distribution
Continuous random variable
Cumulative distribution function
Discrete random variable
Distribution of a function of a random variable
Exponential Distribution
Gamma distribution
Hazard rate function
Independent random variable
Joint cumulative distribution function
Joint Distribution
Joint distribution of functions of variables
Joint probability mass function
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Skewness
Standard normal distribution
Sum of independent variables
The DeMoivre-Laplace limit theorem
Uniform distribution
Variance
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Comparision of Multivariate Means
Inferences about a Mean Vector
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Multivariate Normal Distribution
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Intersect operation
Mutually exclusive
Permutation
Population
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Sample mean
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Statistical event
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test
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Edge caching
Edge caching
Nov 22, 2024
1 min read
Definition:
Refers to the use of caching servers to store content closer to end users.
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