Symbol | Definition |
---|---|
X | Random variable X (or X t ) that is the predicted estimate of a data point at one week(t th week) |
f(x)|f x | Probability density function (pdf) of random variable X |
μ x | Mean value for the random variable X |
\(\sigma _{x} = \sigma /{\sqrt {N_{x}}}\) | Standard deviation for the random variable X |
\(\overline {x}\) | Mean value of the samples belonging to random variable X |
σ | Standard deviation of the samples belonging to random variable X |
v | v=N x −1 Degree of freedom of t-distribution |
\( \bar {y} \) | \(\bar {y}=\frac {1}{n} \sum _{t=1}^{n} (y_{t}) \) : the mean for y values over n weeks |
S x ={s i } | where s i is the sample from distribution f x |
\(N_{s_{x}} = |S_{x}| \) | Number of sample set S x |
Y | Random variable Y (or Y t ) that is the estimate of observed value at one week(t th week) |
g(y)|g y | Probability density function (pdf) of random variable Y |
S y ={s j } | where s j is the sample from distribution g x |