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The variation process depends on continual variation of a constant factor, such as a theme or a group of harmonies.
where the square brackets denote the quadratic variation process.
The quadratic variation process 〈W〉 t is also a continuous process with independent and stationary increments.
where W t is a G-Brownian motion and 〈W〉 t is its quadratic variation process.
Its quadratic variation process is also a continuous process with independent and stationary increments.
By 〈X,X〉, we denote the square variation process of a continuous semimartingale X.
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Our main examples are finite quadratic variation processes with stationary increments and the bifractional Brownian motion.
On the contrary, for finite variation processes the sum of all the small positive and negative jumps are separately finite, in any interval.
Statistical process control (SPC) charts were produced to evaluate compliance data at the unit level over time, highlighting stable and predictable (common cause variation) or unstable and unpredictable (special cause variation) processes [21].
Statistical process control (SPC) charts were produced to evaluate compliance data at the unit level over time, highlighting stable and predictable (common cause variation) or unstable and unpredictable (special cause variation) processes [ 21].
The controller selects a finite-variation process.
Related(18)
altering process
divergence process
variability process
alternation process
evolution process
discrepancy process
differentiation process
deviation process
option process
variance process
substitute process
swing process
amendment process
modification process
form process
variation random
variation margin
variation poaching
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