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In parallel, we densely sample behavior by monitoring subjects actions and physiology.
In parallel, we densely sample behavior by monitoring subjects' actions and physiology.
We also compare the finite sample behavior of the two estimators through a numerical example when the errors are long-memory.
We also studied the finite sample behavior of the confidence interval of regression coefficients in terms of coverage probabilities based on different variance covariance matrix estimators.
In this work, the sample behavior was investigated during exposure to 12 s of plasma (3 s in each of four sequential discharges).
The almost sure asymptotic stability and the associated sample behavior of mechanical and structural systems under combined harmonic and stochastic excitations are examined.
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Third, the asymptotic stability in probability of the system is analysed by examining the sample behaviors of the completely averaged Itô differential equation at its two boundaries.
The first one makes us to utilize more information of inner sampling behavior and later one helps handling a hybrid feature of sampled-data control systems.
Its finite-sample behavior under both homoskedasticity and heteroskedasticity is analyzed using Monte Carlo methods.
We focus on the finite-sample behavior of heteroskedasticity-consistent covariance matrix estimators and associated quasi-t tests.
The asymptotic properties of this methodology are developed and its finite-sample behavior are examined via simulations.
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CEO of Professional Science Editing for Scientists @ prosciediting.com