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Due to the measurement error, suppose that the length of two standardized industrial parts are fuzzy variables that follow Gaussian distributions, for example, (xi_{1}sim mathscr {N}(a_{1}, b_{1})) and (xi_{2}sim mathscr {N}(a_{2}, b_{2})).
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In fact, as the error supposes that the recorded date is the date of a recurrence, assuming that patients with a recurrence are likely to have shorter recorded survival times is logical.
Suppose that error minimization has a bell-shaped distribution, and high levels of error minimization are selectively advantageous, but not infinitely so.
Suppose that prediction error degree estimation of a target meteorological element F0 is performed in area p at time t.
To evaluate the error probability of -ary DPPM, we suppose that signal is transmitted.
Suppose that (A1)–(A5), the error bounds (10)–(12) and the fact that (Delta_{k}leqslantDelta_{max}) hold.
Then we obtain the global convergence derived from Lemmas 8 and 9. Suppose that (A1)–(A5), the error bounds (10)–(12) and (23) hold.
The error function is defined as follows: Suppose that x c i,t is the time-course data at time t of x i calculated by using the estimated parameter values, and x m i,t represents the measured data at time t.
Suppose that (A1)–(and and the error bounds (10)–(12) hold.
Suppose that δt is the error of time quantization.
She then pushes Li back with a powerful forehand, so I suppose that counts as a forced error, and has a chance to take the game.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com