Nghĩa của từ probability density bằng Tiếng Việt
@Chuyên ngành kỹ thuật
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Đặt câu có từ "probability density"
1. The BETADIST() function returns the cumulative beta probability density function
2. A similar equation holds for the conditional probability density functions in the continuous case.
Một đẳng thức tương tự cũng đúng với các hàm mật độ xác suất có điều kiện trong trường hợp liên tục.
3. A proper relativistic theory with a probability density current must also share this feature.
4. At last under which linear transform the probability density function is invariable is studied.
5. Joint Probability Density Function for Bivariate Normal Distribution Substituting in the expressions for the determinant and the inverse of the variance-covariance matrix we obtain, after some simplification, the joint probability density function of (\(X_{1}\), \(X_{2}\)) for the Bivariate …
6. The probability density in three-dimensional space is obtained by rotating the one shown here around the z-axis.
Biên độ xác suất trong ba chiều không gian thu được bằng cách xoay quanh trục z.
7. Q(p1,..., pn), is the probability density of an event corresponding to the parameters pi (i = 1,...,n) in real driving.’
8. — Q(p1,..., pn), is the probability density of an event corresponding to the parameters pi (i = 1,...,n) in real driving.
9. Above the plane, over the region of interest, is a surface which represents the probability density function associated with a Bivariate distribution.
10. Signal morphology was analysed by the probability density function for the amount of time the signal spent away from the electrical baseline.
11. This volume may be thought of as a probability density with Achievability decreasing as the distance from the centroid of the volume increases.
12. The probability density function (PDF) of a Binormal distribution has an absolute maximum at the mean though, unlike the univariate normal distribution, it may
13. The probability density function of the Bivariate normal distribution is implemented as MultinormalDistribution[mu1, mu2, sigma11, sigma12, sigma12, sigma22] in the Wolfram Language package MultivariateStatistics`.
14. When the absolute value of this function is squared, it gives the probability that a particle will be observed near a location—a probability density.
15. Example sentences with "Antilogy", translation memory EurLex-2 The upper 90‐percentile point of the data probability density function is derived from the following …
16. A sound source model, which expresses an acoustic signal emitted from a sound source as a probability density function, is recorded in a sound source memory.
17. The response of a dynamical system to Gaussian white-noise excitations may be represented by the Markov process whose probability density is governed by the well-known Fokker-Plank equation.
18. When the probability density function of the random series is unknown, the order of the model and the unknown parameters are estimated to make possible the solution for an actual case.
19. The term Characteristic function is used in a different way in probability, where it is denoted and is defined as the Fourier transform of the probability density function using Fourier transform parameters, (1) (2)
20. The accumulated count values are supplied to a microprocessor which fits a probability density curve to the count values and determines whether a local maximum exists in the curve within a selected range of signal values.
21. An airbrush can be simulated by assigning a probability density function to a group of pixels representing the airbrush, positioning the group over a desired portion of the stored image and generating a random number for each pixel in the group.
22. In this paper, a systematic procedure is developed to obtain the stationary probability density function for the response of a general nonlinear system under parametric and external Gaussian white noise excitations. In Ref. [11], nonlinear function of system was expressed to the polynomial formula.
23. In statistics, a Bimodal distribution is a probability distribution with two different modes, which may also be referred to as a Bimodal distribution.These appear as distinct peaks (local maxima) in the probability density function, as shown in Figures 1 and 2.Categorical, continuous, and discrete data can all form Bimodal distributions [citation needed].